Relevant bibliographies by topics / Smartphone-based

Academic literature on the topic 'Smartphone-based'

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Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Smartphone-based"

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Aralikatti, Rakesh I., and Kishan S. Anegundi. "Location-Based Services in a Smartphone." Bonfring International Journal of Software Engineering and Soft Computing 6, Special Issue (October 31, 2016): 130–33. http://dx.doi.org/10.9756/bijsesc.8259.

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Pituła, Emil, Marcin Koba, and Mateusz Śmietana. "Which smartphone for a smartphone-based spectrometer?" Optics & Laser Technology 140 (August 2021): 107067. http://dx.doi.org/10.1016/j.optlastec.2021.107067.

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Gao, Xuefei, and Nianqiang Wu. "Smartphone-Based Sensors." Electrochemical Society Interface 25, no. 4 (2016): 79–81. http://dx.doi.org/10.1149/2.f07164if.

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Handzel, Ophir, and Kevin Franck. "Smartphone based hearing evaluation." Operative Techniques in Otolaryngology-Head and Neck Surgery 32, no. 2 (June 2021): 87–91. http://dx.doi.org/10.1016/j.otot.2021.05.004.

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Ahmed, Yunus. "Smartphone-based analytical biosensors." Dental Poster Journal 9, no. 2 (2020): 1–2. http://dx.doi.org/10.15713/ins.dpj.056.

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Garabelli, Paul, Stavros Stavrakis, and Sunny Po. "Smartphone-based arrhythmia monitoring." Current Opinion in Cardiology 32, no. 1 (January 2017): 53–57. http://dx.doi.org/10.1097/hco.0000000000000350.

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Kumar, Nilesh, Bandello Francesco, and Ashish Sharma. "Smartphone-based Gonio-Imaging." Journal of Glaucoma 28, no. 9 (September 2019): e149-e150. http://dx.doi.org/10.1097/ijg.0000000000001306.

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Turk-Adawi, Karam, and Sherry L. Grace. "Smartphone-based cardiac rehabilitation." Heart 100, no. 22 (August 27, 2014): 1737–38. http://dx.doi.org/10.1136/heartjnl-2014-306335.

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Nuñez, José Jesús Reyes. "Smartphone-Based School Atlases?" Cartographica: The International Journal for Geographic Information and Geovisualization 48, no. 2 (June 2013): 126–33. http://dx.doi.org/10.3138/carto.48.2.1842.

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Huang, Xiwei, Dandan Xu, Jin Chen, Jixuan Liu, Yangbo Li, Jing Song, Xing Ma, and Jinhong Guo. "Smartphone-based analytical biosensors." Analyst 143, no. 22 (2018): 5339–51. http://dx.doi.org/10.1039/c8an01269e.

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With the rapid development, mass production, and pervasive distribution of smartphones in recent years, they have provided people with portable, cost-effective, and easy-to-operate platforms to build analytical biosensors for point-of-care (POC) applications and mobile health.
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Dissertations / Theses on the topic "Smartphone-based"

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Yang, Zhenyu. "Smartphone-based Optical Sensing." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1461863029.

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Reyes, Ortiz Jorge Luis. "Smartphone-based human activity recognition." Doctoral thesis, Universitat Politècnica de Catalunya, 2014. http://hdl.handle.net/10803/284725.

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Human Activity Recognition (HAR) is a multidisciplinary research field that aims to gather data regarding people's behavior and their interaction with the environment in order to deliver valuable context-aware information. It has nowadays contributed to develop human-centered areas of study such as Ambient Intelligence and Ambient Assisted Living, which concentrate on the improvement of people's Quality of Life. The first stage to accomplish HAR requires to make observations from ambient or wearable sensor technologies. However, in the second case, the search for pervasive, unobtrusive, low-powered, and low-cost devices for achieving this challenging task still has not been fully addressed. In this thesis, we explore the use of smartphones as an alternative approach for performing the identification of physical activities. These self-contained devices, which are widely available in the market, are provided with embedded sensors, powerful computing capabilities and wireless communication technologies that make them highly suitable for this application. This work presents a series of contributions regarding the development of HAR systems with smartphones. In the first place we propose a fully operational system that recognizes in real-time six physical activities while also takes into account the effects of postural transitions that may occur between them. For achieving this, we cover some research topics from signal processing and feature selection of inertial data, to Machine Learning approaches for classification. We employ two sensors (the accelerometer and the gyroscope) for collecting inertial data. Their raw signals are the input of the system and are conditioned through filtering in order to reduce noise and allow the extraction of informative activity features. We also emphasize on the study of Support Vector Machines (SVMs), which are one of the state-of-the-art Machine Learning techniques for classification, and reformulate various of the standard multiclass linear and non-linear methods to find the best trade off between recognition performance, computational costs and energy requirements, which are essential aspects in battery-operated devices such as smartphones. In particular, we propose two multiclass SVMs for activity classification:one linear algorithm which allows to control over dimensionality reduction and system accuracy; and also a non-linear hardware-friendly algorithm that only uses fixed-point arithmetic in the prediction phase and enables a model complexity reduction while maintaining the system performance. The efficiency of the proposed system is verified through extensive experimentation over a HAR dataset which we have generated and made publicly available. It is composed of inertial data collected from a group of 30 participants which performed a set of common daily activities while carrying a smartphone as a wearable device. The results achieved in this research show that it is possible to perform HAR in real-time with a precision near 97\% with smartphones. In this way, we can employ the proposed methodology in several higher-level applications that require HAR such as ambulatory monitoring of the disabled and the elderly during periods above five days without the need of a battery recharge. Moreover, the proposed algorithms can be adapted to other commercial wearable devices recently introduced in the market (e.g. smartwatches, phablets, and glasses). This will open up new opportunities for developing practical and innovative HAR applications.
El Reconocimiento de Actividades Humanas (RAH) es un campo de investigación multidisciplinario que busca recopilar información sobre el comportamiento de las personas y su interacción con el entorno con el propósito de ofrecer información contextual de alta significancia sobre las acciones que ellas realizan. Recientemente, el RAH ha contribuido en el desarrollo de áreas de estudio enfocadas a la mejora de la calidad de vida del hombre tales como: la inteligència ambiental (Ambient Intelligence) y la vida cotidiana asistida por el entorno para personas dependientes (Ambient Assisted Living). El primer paso para conseguir el RAH consiste en realizar observaciones mediante el uso de sensores fijos localizados en el ambiente, o bien portátiles incorporados de forma vestible en el cuerpo humano. Sin embargo, para el segundo caso, aún se dificulta encontrar dispositivos poco invasivos, de bajo consumo energético, que permitan ser llevados a cualquier lugar, y de bajo costo. En esta tesis, nosotros exploramos el uso de teléfonos móviles inteligentes (Smartphones) como una alternativa para el RAH. Estos dispositivos, de uso cotidiano y fácilmente asequibles en el mercado, están dotados de sensores embebidos, potentes capacidades de cómputo y diversas tecnologías de comunicación inalámbrica que los hacen apropiados para esta aplicación. Nuestro trabajo presenta una serie de contribuciones en relación al desarrollo de sistemas para el RAH con Smartphones. En primera instancia proponemos un sistema que permite la detección de seis actividades físicas en tiempo real y que, además, tiene en cuenta las transiciones posturales que puedan ocurrir entre ellas. Con este fin, hemos contribuido en distintos ámbitos que van desde el procesamiento de señales y la selección de características, hasta algoritmos de Aprendizaje Automático (AA). Nosotros utilizamos dos sensores inerciales (el acelerómetro y el giroscopio) para la captura de las señales de movimiento de los usuarios. Estas han de ser procesadas a través de técnicas de filtrado para la reducción de ruido, segmentación y obtención de características relevantes en la detección de actividad. También hacemos énfasis en el estudio de Máquinas de soporte vectorial (MSV) que son uno de los algoritmos de AA más usados en la actualidad. Para ello reformulamos varios de sus métodos estándar (lineales y no lineales) con el propósito de encontrar la mejor combinación de variables que garanticen un buen desempeño del sistema en cuanto a precisión, coste computacional y requerimientos de energía, los cuales son aspectos esenciales en dispositivos portátiles con suministro de energía mediante baterías. En concreto, proponemos dos MSV multiclase para la clasificación de actividad: un algoritmo lineal que permite el balance entre la reducción de la dimensionalidad y la precisión del sistema; y asimismo presentamos un algoritmo no lineal conveniente para dispositivos con limitaciones de hardware que solo utiliza aritmética de punto fijo en la fase de predicción y que permite reducir la complejidad del modelo de aprendizaje mientras mantiene el rendimiento del sistema. La eficacia del sistema propuesto es verificada a través de una experimentación extensiva sobre la base de datos RAH que hemos generado y hecho pública en la red. Esta contiene la información inercial obtenida de un grupo de 30 participantes que realizaron una serie de actividades de la vida cotidiana en un ambiente controlado mientras tenían sujeto a su cintura un smartphone que capturaba su movimiento. Los resultados obtenidos en esta investigación demuestran que es posible realizar el RAH en tiempo real con una precisión cercana al 97%. De esta manera, podemos emplear la metodología propuesta en aplicaciones de alto nivel que requieran el RAH tales como monitorizaciones ambulatorias para personas dependientes (ej. ancianos o discapacitados) durante periodos mayores a cinco días sin la necesidad de recarga de baterías.
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Zhang, Sen. "Smartphone Based Activity Recognition System." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1354661301.

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Aghanavesi, Somayeh. "Smartphone-based Parkinson’s disease symptom assessment." Licentiate thesis, Högskolan Dalarna, Mikrodataanalys, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:du-24925.

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This thesis consists of four research papers presenting a microdata analysis approach to assess and evaluate the Parkinson’s disease (PD) motor symptoms using smartphone-based systems. PD is a progressive neurological disorder that is characterized by motor symptoms. It is a complex disease that requires continuous monitoring and multidimensional symptom analysis. Both patients’ perception regarding common symptom and their motor function need to be related to the repeated and time-stamped assessment; with this, the full extent of patient’s condition could be revealed. The smartphone enables and facilitates the remote, long-term and repeated assessment of PD symptoms. Two types of collected data from smartphone were used, one during a three year, and another during one-day clinical study. The data were collected from series of tests consisting of tapping and spiral motor tests. During the second time scale data collection, along smartphone-based measurements patients were video recorded while performing standardized motor tasks according to Unified Parkinson’s disease rating scales (UPDRS). At first, the objective of this thesis was to elaborate the state of the art, sensor systems, and measures that were used to detect, assess and quantify the four cardinal and dyskinetic motor symptoms. This was done through a review study. The review showed that smartphones as the new generation of sensing devices are preferred since they are considered as part of patients’ daily accessories, they are available and they include high-resolution activity data. Smartphones can capture important measures such as forces, acceleration and radial displacements that are useful for assessing PD motor symptoms. Through the obtained insights from the review study, the second objective of this thesis was to investigate whether a combination of tapping and spiral drawing tests could be useful to quantify dexterity in PD. More specifically, the aim was to develop data-driven methods to quantify and characterize dexterity in PD. The results from this study showed that tapping and spiral drawing tests that were collected by smartphone can detect movements reasonably well related to under- and over-medication. The thesis continued by developing an Approximate Entropy (ApEn)-based method, which aimed to measure the amount of temporal irregularity during spiral drawing tests. One of the disabilities associated with PD is the impaired ability to accurately time movements. The increase in timing variability among patients when compared to healthy subjects, suggests that the Basal Ganglia (BG) has a role in interval timing. ApEn method was used to measure temporal irregularity score (TIS) which could significantly differentiate the healthy subjects and patients at different stages of the disease. This method was compared to two other methods which were used to measure the overall drawing impairment and shakiness. TIS had better reliability and responsiveness compared to the other methods. However, in contrast to other methods, the mean scores of the ApEn-based method improved significantly during a 3-year clinical study, indicating a possible impact of pathological BG oscillations in temporal control during spiral drawing tasks. In addition, due to the data collection scheme, the study was limited to have no gold standard for validating the TIS. However, the study continued to further investigate the findings using another screen resolution, new dataset, new patient groups, and for shorter term measurements. The new dataset included the clinical assessments of patients while they performed tests according to UPDRS. The results of this study confirmed the findings in the previous study. Further investigation when assessing the correlation of TIS to clinical ratings showed the amount of temporal irregularity present in the spiral drawing cannot be detected during clinical assessment since TIS is an upper limb high frequency-based measure.
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Dinis, Joel Eduardo dos Santos. "Attendance control system based on smartphone." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/14059.

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Mestrado em Engenharia Electrónica e de Telecomunicações
Attendance control systems are associated with labour legislation for the protection of employees and employers. School attendances' issues may be directly connected to academic achievements at the same time it is di cult to control by children's parents. To solve these problems, there are several systems available and the di erence between them is essentially the technology adopted to make them work. Nowadays, mobile equipment market has a great diversity with smartphone equipments having the highest demands and high growth rates. Due to the huge capacities of their operating systems and hardware, smartphones have now the possibility to be used as part of an attendance control system. In this dissertation, it is developed an attendance control system based on smarphone and virtual doors composed of two Access Points (APs). This system has the advantage of being inexpensive and, since the application runs in the background of the operating system, attendance detection becomes a fully automatic process. Moreover, since a smartphone is a personal equipment which is hardly shared with other person, attempts to defraud the control system are very unlikely to happen.
Os sistemas de registo de assiduidade estão associados a legislação laboral para defender os interesses dos empregados e dos empregadores. O controlo de presenças em escolas adquiriu também extrema importância estando cada vez mais associado ao sucesso académico. Atualmente existe uma panóplia de sistemas deste tipo cujas diferenças estão essencialmente ao nível da tecnologia utilizada como base de funcionamento do sistema. O mercado de equipamentos m oveis apresenta igualmente grande diversidade e um rápido e sustentado crescimento, sendo mesmo um dos mercados com maiores taxas de crescimento ano ap os ano na área das tecnologias de informação. A venda de smartphones representa j a mais de metade da venda deste tipo de equipamentos. Devido as enormes potencialidades dos seus sistemas operativos e do seu hardware, estes equipamentos abriram a possibilidade da sua utilização como parte integrante de um sistema de registo de assiduidade. Nesta dissertação e proposto um sistema de registo de assiduidade baseado em smartphone e em portarias virtuais compostas por dois Access Point. O sistema apresenta como principais vantagens o facto de ser barato, a aplicação correr em segundo plano no sistema operativo tornando o processo de picagem um processo automático, e também por ser um dispositivo que o utilizador tem dificuldade em ceder a terceiros, reduzindo por isso tentativas de fraude ao sistema de controlo de assiduidade.
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Wahlström, Johan. "Sensor Fusion for Smartphone-based Vehicle Telematics." Doctoral thesis, KTH, Teknisk informationsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218071.

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The fields of navigation and motion inference have rapidly been transformed by advances in computing, connectivity, and sensor design. As a result, unprecedented amounts of data are today being collected by cheap and small navigation sensors residing in our surroundings. Often, these sensors will be embedded into personal mobile devices such as smartphones and tablets. To transform the collected data into valuable information, one must typically formulate and solve a statistical inference problem. This thesis is concerned with inference problems that arise when trying to use smartphone sensors to extract information on driving behavior and traffic conditions. One of the fundamental differences between smartphone-based driver behavior profiling and traditional analysis based on vehicle-fixed sensors is that the former is based on measurements from sensors that are mobile with respect to the vehicle. Thus, the utility of data from smartphone-embedded sensors is diminished by not knowing the relative orientation and position of the smartphone and the vehicle. The problem of estimating the relative smartphone-to-vehicle orientation is solved by extending the state-space model of a global navigation satellite system-aided inertial navigation system. Specifically, the state vector is augmented to include the relative orientation, and the measurement vector is augmented with pseudo observations describing well-known characteristics of car dynamics. To estimate the relative positions of multiple smartphones, we exploit the kinematic relation between the accelerometer measurements from different smartphones. The characteristics of the estimation problem are examined using the Cramér-Rao bound, and the positioning method is evaluated in a field study using concurrent measurements from seven smartphones. The characteristics of smartphone data vary with the smartphone's placement in the vehicle. To investigate this, a large set of vehicle trip segments are clustered based on measurements from smartphone-embedded sensors and vehicle-fixed accelerometers. The clusters are interpreted as representing the smartphone being rigidly mounted on a cradle, placed on the passenger seat, held by hand, etc. Finally, the problem of fusing speed measurements from the on-board diagnostics system and a global navigation satellite system receiver is considered. Estimators of the vehicle’s speed and the scale factor of the wheel speed sensors are derived under the assumptions of synchronous and asynchronous samples.

QC 20171123

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Gomes, Vítor Emanuel Ornelas. "Smartphone based accident detection and eCall implementation." Master's thesis, Universidade de Aveiro, 2013. http://hdl.handle.net/10773/12835.

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Mestrado em Engenharia Electrónica e Telecomunicações
Intelligent Transportation Systems are emerging, to increase safety, e - ciency and comfort on roads. This intelligence is due to the fact that new technologies are being introduced in the most recent automobiles. As a result of this technological evolution, vehicular communication systems are being developed, to provide drivers with more information about the interventionists present in the roads they circulate. Predictions point that this information can increase safety and e ciency on roads. Presently, the Instituto de Telecomunica c~oes de Aveiro, is developing its own vehicular communication system, named HEADWAY, as a solution. HEADWAY DSRC 5.9 GHz vehicular communication system currently under development. Smartphones nowadays are very popular devices. This is due to the fact that they pack incredible hardware resources in a small and portable device and the possibility to third party developers, develop applications for them. This enables these devices to be used in di erent areas, depending only from the creativity of the developers. To diminish the number of fatalities due to road accidents, the European Commission has mandated the implementation of eCall in every new vehicle by 2015. In vehicles, the eCall aim to detect accidents and request accidents automatically. This dissertation targets, on the one hand, the development of an accident detection mechanism with eCall implementation. On the other hand it targets the integration of smartphones with HEADWAY, by developing an application that takes advantage of the system characteristics and demonstrates it. To achieve the proposed goals, an Android application was developed which acts as an HMI for HEADWAY, enables message exchange between vehicles, automatically detects accidents and proceeds with a help request. Most of the proposed goals where achieved, except the eCall implementation, which an alternative method was developed.
Os Sistemas de Transporte Inteligentes estão a emergir, de forma a introduzir mais segurança, eficiência e conforto nas estradas. Esta inteligência deve-se ao facto de novas tecnologias estarem a ser introduzidas nos automóveis recentes. Como resultado da evolução tecnológica os sistemas de comunicação veiculares estão a ser desenvolvidos, com o objectivo de munir os condutores com informações relativas aos diferentes intervenientes da estrada onde circulam. Prevê-se que este tipo de informação leve a uma maior segurança e eficiência nas estradas. Actualmente no Instituto de Telecomunicações de Aveiro, está a decorrer um projecto que visa fornecer uma alternativa como sistema de comunicações veiculares. Este projecto tem o nome de HEADWAY. O HEADWAY é um sistema de comunicações veiculares DSRC 5.9 GHz, atualmente em desenvolvimento. Os smartphones hoje em dia já são dispositivos estabelecidos no mercado. Isto deve-se ao facto destes apresentarem um grande potencial, ao integrarem recursos de hardware incríveis num pequeno dispositivo e de permitirem o desenvolvimento de aplicações por terceiros. A criatividade dos programadores tem permitido a utilização destes dispositivos em diversas áreas. De forma a diminuir o número de mortes causadas por acidentes rodoviários, a Comissão Europeia, tornou obrigatório que em 2015 todos os novos carros estejam equipados com o sistema eCall, que visa a deteção de acidentes e pedido de ajuda ao 112 automáticos. Esta dissertação tem por um lado, o objectivo de desenvolver um detector de acidentes com implementação de eCall, e, por outro lado, integrar um smartphone com o HEADWAY, através do desenvolvimento de uma aplicação que tire partido das características deste sistema e assim o demonstre. Para cumprir os objectivos foi desenvolvida uma aplicação para Android que atua como HMI para o HEADWAY, facilita a troca de mensagens entre veículos, deteta automaticamente acidentes e procede com pedidos de ajuda. Na conclusão do projecto, verificou-se que os objectivos propostos foram na sua maioria concluídos, exceptuando a implementação da eCall ao 112, sendo desenvolvido um método alternativo.
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Ben, Tahayekt Ben Tahaikt Chaimaa. "A secure user authentication scheme for critical mobile applications." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-34845.

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Smartphones have facilitated tasks in private and work life for its users. In business, employees often should manage sensitive data that unauthorised people cannot access, so some user authentication is needed to perform. Besides the normal user authentication, some employers give the right to access to the sensitive data only if the employees stay in specific locations. That makes sense for those businesses that have various construction sites and offices that are not necessarily located in the same geographical region. In those companies, the employees must be able to perform their tasks from different locations regardless of the available network infrastructure. To protect the data from intruders, this research presents a secure location-based user authentication scheme for mobile application that works offline. This research considers to enable access to the sensitive data using off-the-shelf mobile devices without adding any extra hardware and with no additional information from a fixed infrastructure. This Thesis firstly describes the architecture and attributes of the proposed solution. Then, the techniques used for the design and functionality of the solution are presented. The results of this study reveal that the proposed solution is more suitable for the applications that is used in outdoor locations. Finally, to alleviate the shortcoming of the presented technique for indoor locations, a new method has been discussed and tested. This report is a final Thesis in collaboration with SAAB. The purpose of this research is to examine the best way to protect sensitive data managed by the employees using their smartphones in different workplaces.
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MILD, MARKUS, and VINKLER ALEXIS MÄÄTTÄ. "An Explorative Usability Studyof Smartphone-Based Indoor Navigation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-138025.

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Mobile phone usage is constantly increasing, as a result we are becoming more reliant on services provided for mobile devices. Mobile devices and especially smartphones can be used for a variety of purposes and has especially made location based services (LBS) mainstream, where outdoor usage has been the primary scope of use. However, by leveraging the positioning abilities of the Assisted Global Positioning System (A-GPS) and location-sensing techniques based on e.g. cellular towers and WiFi access points (AP), mobile phones can be used to determine a position in indoor environments. As indoor positioning has evolved, early stage systems designed for indoor navigation have been developed. With positioning accuracy set aside, other areas (e.g. usability and design) of indoor positioning and navigation have been sparsely explored, both regarding user behaviour and adaptation of the provided solutions. This study encompasses an experimental deployment of two smartphone-based indoor navigation systems that were evaluated using two methods: self-guided exploration and end-user evaluation. The subject of indoor navigation were approached from two separate viewpoints - Administrator and End-user - with usability as a common denominator. The results from our study clearly showed that systems designed for smartphone-based indoor navigation, have yet to reach their full potential from both viewpoints. Functionality embedded in the systems proved to be very error sensitive, due to a minimal usability margin concerning end-user abilities to orient and navigate indoors. Administrators have to make a thorough assessment of the intended environment, in order to ensure that the system will operate properly and to minimise the time for deployment. Administrators also have to consider the controllability of the provided system, as dependencies towards the creator of the system infer undesired lack of control. If pre-existing infrastructure is to be utilised, such as a WiFi installation, the prerequisites of indoor positioning needs to be ensured by the administrators of the system. Lastly in this paper, our common recommendations are compiled as six guidelines, which are: 1. Functionality and features for orientation and navigation are error sensitive, 2. Positioning technique should be determined based on the environment, 3. Precise positioning is less crucial than stable positioning, 4. Live-tracing is of great importance in terms of orientational feedback, 5. Dynamic floor plans are fundamental for a dynamic navigational system, and 6. Controllability is valuable, dependance should be kept to a minimum.
I takt med den konstant växande globala mobilanvändningen blir vi allt mer beroende av mobila tjänster. Smartphones har numera ett brett spektrum av användningsområden, där platsspecifika tjänster blivit en del av vår vardag. Tjänsterna har dock hitintills främst kommit att omfatta utomhusmiljöer. Genom att utnyttja mobiltelefonens inbyggda Assisted Global Positioning System (A-GPS) i kombination med tekniker för platsigenkänning, som baseras på exempelvis mobilmaster eller WiFi-noder, kan dock mobiltelefoner numera användas för att bestämma en position även i inomhusmiljöer. Då utvecklingen av inomhuspositionering fortskridit har förstadium-system, avsedda för inomhusnavigering med hjälp av smartphones, tagits fram. Bortsett från noggrannheten i den resulterade positionen så har andra områden inom inomhusnavigering och -positionering blivit åsidosatta, såsom användarbeteende och implementering av de framtagna systemen. Denna studie innefattar två faser, varav första fasen var att upprätta två inomhusnavigeringssystem samt parallellt utvärdera dessa system ur ett utvecklarperspektiv. I den andra fasen, kallad slutanvändarperspektivet, genomfördes användartester, vilket gjordes i form av fälttest i kombination med intervjuer. Gemensamt för bägge faser var användbarhet, där två olika perspektiv och därmed två olika betydelser gestaltades. Resultatet från vår studie visar tydligt att system utformade för inomhusnavigering med hjälp av smartphones, ännu inte nått sin fulla potential - varken för slutanvändare eller administratörer. Den inbäddade funktionaliteten visade sig vara väldigt felkänslig, där små användbarhetsproblem fick stora konsekvenser för slutanvändares förmåga att orientera och navigera sig inomhus. Administratörer/utvecklare måste göra en grundlig utvärdering av den ämnade inomhusmiljön, för att säkerställa att systemet kommer fungera samt för att minimera den totala tiden för implementeringen. Administratörer bör även överväga kontrollerbarheten av tillgängliga system, då beroenden till aktörer som tillhandahåller systemet innebär en oönskad brist av kontroll. Om existerande infrastruktur ämnas användas, såsom WiFi-noder, bör nödvändiga förutsättningar för inomhuspositionering säkerställas på förhand. Avslutningsvis i denna rapport listas våra (författarnas) gemensamma rekommendationer, där de mest omfattande slutsatserna lyfts fram i form av sex riktlinjer. Riktlinjerna som tagits fram är: 1 Funktionalitet för orientering och navigering är felkänslig, 2. Positioneringsmetod bör väljas baserat på den tilltänkta miljön, 3. Stabil positionering är viktigare än exakt positionering, 4. Live-spårning ger omedelbar återkoppling på förflyttning, 5. Dynamiska planlösningar är grundläggande för ett dynamiskt navigeringssytem, samt 6. Kontrollerbarhet är värdefullt, beroenden bör vara minimala.
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Konnaiyan, Karthik Raj. "Smartphone Based 3D Printed Colorimeter for Biomedical Applications." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5975.

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Here we present a novel Smartphone-based colorimeter and demonstrate its application to the measurements of glucose and protein concentrations in biological samples. The key innovation of our approach was to combine powerful image processing encoded into a mobile phone application with a low cost 3D printed sample holder that allowed to control lighting conditions and significantly improved sensitivity. Different solutions with protein and glucose concentrations ranging from 0 to 2000 mg/dL were prepared and analyzed using our system. The Smartphone-based colorimeter always correctly classified the corresponding reagent strip pads, what confirms that it can be used as a low cost alternative for commercial test strip analyzers.
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Books on the topic "Smartphone-based"

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Reyes Ortiz, Jorge Luis. Smartphone-Based Human Activity Recognition. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14274-6.

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Gao, Ruipeng, Fan Ye, Guojie Luo, and Jason Cong. Smartphone-Based Indoor Map Construction. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8378-5.

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Kehtarnavaz, Nasser, Abhishek Sehgal, and Shane Parris. Smartphone-Based Real-Time Digital Signal Processing. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-031-02540-2.

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Kehtarnavaz, Nasser, Shane Parris, and Abhishek Sehgal. Smartphone-Based Real-Time Digital Signal Processing. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-031-02537-2.

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Basu, Souvik, Siuli Roy, and Sipra Das Bit. Reliable Post Disaster Services over Smartphone Based DTN. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6573-7.

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Ozer, Ekin. Multisensory Smartphone Applications in Vibration-Based Structural Health Monitoring. [New York, N.Y.?]: [publisher not identified], 2016.

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1961-, Baciu George, ed. Introduction to wireless localization: With iPhone SDK examples. Hoboken, N.J: Wiley, 2012.

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Rajesh, Lal, ed. Beginning smartphone web development: Building JavaScript, CSS, HTML and Ajax-based applications for iPhone, Android, Palm Pre, Blackberry, Windows Mobile and Nokia S60. New York: Apress, 2009.

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Atif, Iqbal, and Guzinski Jaroslaw, eds. High performance control of AC drives with MATLAB/Simulink models. Chichester, West Sussex: Wiley, 2012.

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Smartphone-Based Detection Devices. Elsevier, 2021. http://dx.doi.org/10.1016/c2020-0-00290-2.

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Book chapters on the topic "Smartphone-based"

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Yus, Francisco. "Location-based smartphone interaction 1." In Smartphone Communication, 211–30. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003200574-15.

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Huang, Huawei, and Song Guo. "Smartphone Based Emergency Communication." In Big Data in Emergency Management: Exploitation Techniques for Social and Mobile Data, 131–47. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48099-8_7.

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Stütz, Thomas, Thomas Kowar, Michael Kager, Martin Tiefengrabner, Markus Stuppner, Jens Blechert, Frank H. Wilhelm, and Simon Ginzinger. "Smartphone Based Stress Prediction." In Lecture Notes in Computer Science, 240–51. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20267-9_20.

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Calabretta, Maria Maddalena, Laura Montali, Antonia Lopreside, Aldo Roda, and Elisa Michelini. "Smartphone-Based Cell Detection." In Handbook of Cell Biosensors, 1–16. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-47405-2_98-1.

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Kurylyak, Yuriy, Francesco Lamonaca, and Domenico Grimaldi. "Smartphone-Based Photoplethysmogram Measurement." In Digital Image and Signal Processing for Measurement Systems, 135–64. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337911-5.

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Dawson, Catherine. "Smartphone app-based research." In A–Z of Digital Research Methods, 335–41. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781351044677-51.

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Calabretta, Maria Maddalena, Laura Montali, Antonia Lopreside, Aldo Roda, and Elisa Michelini. "Smartphone-Based Cell Detection." In Handbook of Cell Biosensors, 963–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-23217-7_98.

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Reyes Ortiz, Jorge Luis. "Introduction." In Smartphone-Based Human Activity Recognition, 1–5. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14274-6_1.

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Reyes Ortiz, Jorge Luis. "Background." In Smartphone-Based Human Activity Recognition, 9–35. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14274-6_2.

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Reyes Ortiz, Jorge Luis. "State of the Art." In Smartphone-Based Human Activity Recognition, 37–56. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14274-6_3.

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Conference papers on the topic "Smartphone-based"

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Lau, Vincent M. K. "Smartphone based robot." In SIGGRAPH Asia 2013 Symposium on Mobile Graphics and Interactive Applications. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2543651.2543693.

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Stafford, Matthew, Adriana Rogers, Shela Wu, Charles Carver, N. Sertac Artan, and Ziqian Dong. "TETRIS: Smartphone-to-Smartphone Screen-Based Visible Light Communication." In 2017 IEEE 14th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS). IEEE, 2017. http://dx.doi.org/10.1109/mass.2017.101.

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"SMARTPHONE BASED E-LEARNING." In 3rd International Conference on Computer Supported Education. SciTePress - Science and and Technology Publications, 2011. http://dx.doi.org/10.5220/0003334901610170.

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Giardini, Mario E., Iain A. T. Livingstone, Stewart Jordan, Nigel M. Bolster, Tunde Peto, Matthew Burton, and Andrew Bastawrous. "A smartphone based ophthalmoscope." In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2014. http://dx.doi.org/10.1109/embc.2014.6944049.

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Erickson, David, and Matt Mancuso. "Smartphone based Molecular Diagnostics." In Optical Sensors. Washington, D.C.: OSA, 2013. http://dx.doi.org/10.1364/sensors.2013.sw3b.2.

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Ba, Zhongjie, Tianhang Zheng, Zhan Qin, Hanlin Yu, Liu Liu, Baochun Li, Xue Liu, and Kui Ren. "Accelerometer-based smartphone eavesdropping." In MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3372224.3417323.

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Liu, Qiang, Yun Liu, Huizhen Yuan, Jiabin Wang, Jianye Guang, and Wei Peng. "Smartphone based LSPR biosensor." In 2018 Asia Communications and Photonics Conference (ACP). IEEE, 2018. http://dx.doi.org/10.1109/acp.2018.8596229.

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Manolopoulos, Vasileios, Panos Papadimitratos, Sha Tao, and Ana Rusu. "Securing smartphone based ITS." In 2011 11th International Conference on ITS Telecommunications (ITST). IEEE, 2011. http://dx.doi.org/10.1109/itst.2011.6060053.

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Tao, Tao, Yu-E. Sun, Dongmei Chen, Yu Xin, Yonglong Luo, and He Huang. "PosAla: A Smartphone-Based Posture Alarm System Design for Smartphone Users." In 2018 14th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN). IEEE, 2018. http://dx.doi.org/10.1109/msn.2018.00026.

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Anthimopoulos, Marios, Sidharta Gupta, Spyridon Arampatzis, and Stavroula Mougiakakou. "Smartphone-based urine strip analysis." In 2016 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2016. http://dx.doi.org/10.1109/ist.2016.7738253.

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Reports on the topic "Smartphone-based"

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Lashkov, Igor, Alexey Kashevnik, and Andrey Ronzhin. Ontology-based Personalisation for Online Driver Monitoring by Smartphone. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, May 2019. http://dx.doi.org/10.7546/crabs.2019.05.13.

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Kourtellis, Achilleas. Smartphone-based Connected Bicycle Prototype Development for Sustainable Multimodal Transportation System. Tampa, FL: University of South Florida, February 2018. http://dx.doi.org/10.5038/cutr-nctr-rr-2018-03.

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Ward, Andrew, Anthony Falls, and Craig Rutland. Development of smartphone-based semi-prepared runway operations (SPRO) models and methods. Engineer Research and Development Center (U.S.), December 2021. http://dx.doi.org/10.21079/11681/42500.

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The U.S. Army Engineer Research and Development Center (ERDC) has developed a method for predicting surface friction response by use of ground vehicles equipped with deceleration-based measurement devices. Specifically, the ERDC has developed models and measurement methods between the Findlay Irvine Mk2 GripTester and a variety of deceleration measurement devices: Bowmonk AFM2 Mk3, Xsens MTi-G-710, two Android smartphones, and two iOS smartphones. These models show positive correlation between ground vehicle deceleration and fixed-slip surface continuous surface friction measurement. This effort extends prior work conducted by the U.S. Army ERDC in developing highly correlative models between the Findlay Irvine Mk2 GripTester and actual C-17 braking deceleration, measured via the runway condition rating (RCR) system. The models and measurement methods detailed here are of considerable use to semi-prepared airfield managers around the world needing to measure safe landing conditions following inclement weather. This work provides the tools necessary for airfield managers to quantify safe landing conditions for C-17 aircraft by using easily obtainable equipment and simple test standards.
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Rakestraw, D. Resonant Acoustic Characterization of Coins: An Inquiry-Based Learning Activity for Everyone with a Smartphone. Office of Scientific and Technical Information (OSTI), November 2021. http://dx.doi.org/10.2172/1830948.

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Ceballos, Francisco, Berber Kramer, Azad Mishra, Miguel Robles, and Mann S. Toor. Picture-based crop insurance: using farmers’ smartphone pictures to reduce basis risk and costs of loss verification. International Initiative for Impact Evaluation (3ie), June 2020. http://dx.doi.org/10.23846/tw13fe11.

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Seidametova, Zarema S., Zinnur S. Abduramanov, and Girey S. Seydametov. Using augmented reality for architecture artifacts visualizations. [б. в.], July 2021. http://dx.doi.org/10.31812/123456789/4626.

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Nowadays one of the most popular trends in software development is Augmented Reality (AR). AR applications offer an interactive user experience and engagement through a real-world environment. AR application areas include archaeology, architecture, business, entertainment, medicine, education and etc. In the paper we compared the main SDKs for the development of a marker-based AR apps and 3D modeling freeware computer programs used for developing 3D-objects. We presented a concept, design and development of AR application “Art-Heritage’’ with historical monuments and buildings of Crimean Tatars architecture (XIII-XX centuries). It uses a smartphone or tablet to alter the existing picture, via an app. Using “Art-Heritage’’ users stand in front of an area where the monuments used to be and hold up mobile device in order to see an altered version of reality.
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Li, Lingxi, Yaobin Chen, Renren Tian, Feng Li, Howell Li, and James R. Sturdevant. An Integrated Critical Information Delivery Platform for Smart Segment Dissemination to Road Users. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317440.

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An integrated critical information delivery platform for smart segment dissemination to road users was developed. A statewide baseline milepost geodatabase was created at 0.1-mile resolution with tools, protocols, and interfaces that allow other data sources to be efficiently utilized. A variety of data sources (e.g., INRIX, CARS, Doppler, camera images, connected vehicle data, automated vehicle location) were integrated into existing and new dashboards for stakeholders to monitor roadway conditions and after-action reviews. Additionally, based on these data sources, algorithms were developed and an API was created to identify hazardous road conditions when the location of the end-user mobile device was given. Message delivery schemes were successfully implemented to issue alerts to drivers, which were integrated with two in-vehicle smartphone applications. The performance of the integrated platform was evaluated using both the driving simulator and a number of simulated and on-road tests. The results demonstrated the system was able to disseminate data in real-time using the developed platform.
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Bedoya-Maya, Felipe, Lynn Scholl, Orlando Sabogal-Cardona, and Daniel Oviedo. Who uses Transport Network Companies?: Characterization of Demand and its Relationship with Public Transit in Medellín. Inter-American Development Bank, September 2021. http://dx.doi.org/10.18235/0003621.

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Transport Network Companies (TNCs) have become a popular alternative for mobility due to their ability to provide on-demand flexible mobility services. By offering smartphone-based, ride-hailing services capable of satisfying specific travel needs, these modes have transformed urban mobility worldwide. However, to-date, few studies have examined the impacts in the Latin American context. This analysis is a critical first step in developing policies to promote efficient and sustainable transport systems in the Latin-American region. This research examines the factors affecting the adoption of on-demand ride services in Medellín, Colombia. It also explores whether these are substituting or competing with public transit. First, it provides a descriptive analysis in which we relate the usage of platform-based services with neighborhood characteristics, socioeconomic information of individuals and families, and trip-level details. Next, factors contributing to the election of platform-based services modeled using discrete choice models. The results show that wealthy and highly educated families with low vehicle availability are more likely to use TNCs compared to other groups in Medellín. Evidence also points at gender effects, with being female significantly increasing the probability of using a TNC service. Finally, we observe both transit complementary and substitution patterns of use, depending on the context and by whom the service is requested.
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Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), March 2021. http://dx.doi.org/10.23970/ahrqepctb38.

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Background. Automated-entry consumer devices that collect and transmit patient-generated health data (PGHD) are being evaluated as potential tools to aid in the management of chronic diseases. The need exists to evaluate the evidence regarding consumer PGHD technologies, particularly for devices that have not gone through Food and Drug Administration evaluation. Purpose. To summarize the research related to automated-entry consumer health technologies that provide PGHD for the prevention or management of 11 chronic diseases. Methods. The project scope was determined through discussions with Key Informants. We searched MEDLINE and EMBASE (via EMBASE.com), In-Process MEDLINE and PubMed unique content (via PubMed.gov), and the Cochrane Database of Systematic Reviews for systematic reviews or controlled trials. We also searched ClinicalTrials.gov for ongoing studies. We assessed risk of bias and extracted data on health outcomes, surrogate outcomes, usability, sustainability, cost-effectiveness outcomes (quantifying the tradeoffs between health effects and cost), process outcomes, and other characteristics related to PGHD technologies. For isolated effects on health outcomes, we classified the results in one of four categories: (1) likely no effect, (2) unclear, (3) possible positive effect, or (4) likely positive effect. When we categorized the data as “unclear” based solely on health outcomes, we then examined and classified surrogate outcomes for that particular clinical condition. Findings. We identified 114 unique studies that met inclusion criteria. The largest number of studies addressed patients with hypertension (51 studies) and obesity (43 studies). Eighty-four trials used a single PGHD device, 23 used 2 PGHD devices, and the other 7 used 3 or more PGHD devices. Pedometers, blood pressure (BP) monitors, and scales were commonly used in the same studies. Overall, we found a “possible positive effect” of PGHD interventions on health outcomes for coronary artery disease, heart failure, and asthma. For obesity, we rated the health outcomes as unclear, and the surrogate outcomes (body mass index/weight) as likely no effect. For hypertension, we rated the health outcomes as unclear, and the surrogate outcomes (systolic BP/diastolic BP) as possible positive effect. For cardiac arrhythmias or conduction abnormalities we rated the health outcomes as unclear and the surrogate outcome (time to arrhythmia detection) as likely positive effect. The findings were “unclear” regarding PGHD interventions for diabetes prevention, sleep apnea, stroke, Parkinson’s disease, and chronic obstructive pulmonary disease. Most studies did not report harms related to PGHD interventions; the relatively few harms reported were minor and transient, with event rates usually comparable to harms in the control groups. Few studies reported cost-effectiveness analyses, and only for PGHD interventions for hypertension, coronary artery disease, and chronic obstructive pulmonary disease; the findings were variable across different chronic conditions and devices. Patient adherence to PGHD interventions was highly variable across studies, but patient acceptance/satisfaction and usability was generally fair to good. However, device engineers independently evaluated consumer wearable and handheld BP monitors and considered the user experience to be poor, while their assessment of smartphone-based electrocardiogram monitors found the user experience to be good. Student volunteers involved in device usability testing of the Weight Watchers Online app found it well-designed and relatively easy to use. Implications. Multiple randomized controlled trials (RCTs) have evaluated some PGHD technologies (e.g., pedometers, scales, BP monitors), particularly for obesity and hypertension, but health outcomes were generally underreported. We found evidence suggesting a possible positive effect of PGHD interventions on health outcomes for four chronic conditions. Lack of reporting of health outcomes and insufficient statistical power to assess these outcomes were the main reasons for “unclear” ratings. The majority of studies on PGHD technologies still focus on non-health-related outcomes. Future RCTs should focus on measurement of health outcomes. Furthermore, future RCTs should be designed to isolate the effect of the PGHD intervention from other components in a multicomponent intervention.
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Evaluating the Accuracy of Smartphone-Based Travel Behavior Data. Tampa, FL: University of South Florida, June 2022. http://dx.doi.org/10.5038/cutr-nicr-y1-3-1.

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