Academic literature on the topic 'Smart personal assistant'
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Journal articles on the topic "Smart personal assistant"
Berdasco, López, Diaz, Quesada, and Guerrero. "User Experience Comparison of Intelligent Personal Assistants: Alexa, Google Assistant, Siri and Cortana." Proceedings 31, no. 1 (November 20, 2019): 51. http://dx.doi.org/10.3390/proceedings2019031051.
Full textElahi, Haroon, Guojun Wang, Tao Peng, and Jianer Chen. "On Transparency and Accountability of Smart Assistants in Smart Cities." Applied Sciences 9, no. 24 (December 6, 2019): 5344. http://dx.doi.org/10.3390/app9245344.
Full textSrinivasan, Arul, and A. Neela Madheswari. "The Role of Smart Personal Assistant for improving personal Healthcare." International Journal of Advanced Engineering, Management and Science 4, no. 11 (2018): 769–72. http://dx.doi.org/10.22161/ijaems.4.11.5.
Full textKrishna, Tummala Sri Ranga Sai. "Virtual Personal Assistant for Desktop Automation using Selenium." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3261–64. http://dx.doi.org/10.22214/ijraset.2021.35798.
Full textWinkler, Rainer, Matthias Söllner, and Jan Marco Leimeister. "Enhancing problem-solving skills with smart personal assistant technology." Computers & Education 165 (May 2021): 104148. http://dx.doi.org/10.1016/j.compedu.2021.104148.
Full textDizon, Gilbert, and Daniel Tang. "Intelligent personal assistants for autonomous second language learning: An investigation of Alexa." JALT CALL Journal 16, no. 2 (August 31, 2020): 107–20. http://dx.doi.org/10.29140/jaltcall.v16n2.273.
Full textShypota, N., and M. Makolkina. "Analysis of using voice assistant technolog in fifth generatio networks." Telecom IT 8, no. 3 (September 30, 2020): 86–93. http://dx.doi.org/10.31854/2307-1303-2020-8-3-86-93.
Full textCarlin, Angela, Caomhan Logue, Jonathan Flynn, Marie H. Murphy, and Alison M. Gallagher. "Development and Feasibility of a Family-Based Health Behavior Intervention Using Intelligent Personal Assistants: Randomized Controlled Trial." JMIR Formative Research 5, no. 1 (January 28, 2021): e17501. http://dx.doi.org/10.2196/17501.
Full textMeza, Andrés, Gustavo López, Luis Quesada, and Luis A. Guerrero. "Architecture to Design Booking Appointment Applications for the Smart Personal Assistant Alexa." Proceedings 31, no. 1 (November 20, 2019): 17. http://dx.doi.org/10.3390/proceedings2019031017.
Full textJang, Yeibeech. "Exploring User Interaction and Satisfaction with Virtual Personal Assistant Usage through Smart Speakers." Archives of Design Research 33, no. 3 (August 31, 2020): 127–35. http://dx.doi.org/10.15187/adr.2020.08.33.3.127.
Full textDissertations / Theses on the topic "Smart personal assistant"
Pellegrini, Lorenzo. "Integrazione Architetturale di Personal Assistant Agent basati su modello BDI con Servizi Cognitivi: Un Caso di Studio in Ambito Ospedaliero." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15625/.
Full textZomer, Manuel. "Shaping proactivity : Designing interactions with proactive ambient artefacts." Thesis, Malmö universitet, Institutionen för konst, kultur och kommunikation (K3), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43699.
Full textKodys, Martin. "Raisonnement sémantique pour une plateforme d’assistance intelligente orienté bien-être et santé numérique." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALM033.
Full textConnected objects of everyday living have made their way into our lives. Known as Internet of Things, the various technologies inspire a vast variety of applications. One of the pioneer applications is the concept and development of a smart home. This is now spreading outdoors; making vehicles, buildings, and even large cities smart. Moreover, the technology is getting more personal as well – as wearing smart clothes and other self-tracking devices become increasingly common and popular. This is often referred to as the quantified self.One particular case of a smart environment is ambient assisted living, which is designed to enhance elderly people’s day-to-day life. Such a ubiquitous and unobtrusive computer system can also be ported to other domains and age groups. For instance, the tracking of daily activities can also help younger adults to improve their lifestyle. Everyone can be encouraged to maintain a healthy lifestyle, perform sufficient physical activity, and make more informed decisions about their mobility. These are direct factors in preventing health risks, such as metabolic diseases like the type 2 diabetes, and allow a better control over respiratory diseases like the asthma.Driven by these ideas, this thesis explores the possibilities of a web-based platform with a semantic rule-based reasoning. The thesis details the work on technical improvements, enhancements in activity recognition, extensions for data analysis, and a mobility-oriented application.Following a user-centric approach, a real life deployment of the described technologies is necessary. Two use cases are examined. First, I enhanced and built upon a pre-existing system, which consists of sensors and a gateway placed into elderly participants' homes. The second use case is the deployment of a mobile phone application for active mobility assistance. Collecting relevant and timely data, the application then outputs a level of recommendation for every type of mobility. The recommendations are based on each user’s exercise tracking device, which incorporates their goals, their profiles, and other publicly available data sources such as weather and air quality.This thesis describes the outcomes and lessons learnt from these deployments. In addition, this thesis provides an in-depth discussion as well as analytical insights on the results of the deployments
Merdivan, Erinc. "Ambient Assisted Living with Deep Learning." Electronic Thesis or Diss., CentraleSupélec, 2019. http://www.theses.fr/2019CSUP0006.
Full textAmbient assisted living aims to support the aging population. This is particularly the case with smart homes, equipped with multiple connected sensors, which enables to extend home care for the elderly. The manuscript begins by introducing the general problem of smart homes, after presenting further the three sub-themes that are the subject of the thesis, namely the activity recognition, privacy and dialogue systems.Activity recognition is the process of determining the day-to-day activities of a person or a group of people from the (raw) sensor data that the home is equipped with. An example of this is the detection of a person's fall. A smart home is typically based on the Internet of Things (IoT). Many data are produced, which may contain private or sensitive information. Some of this data must be shared externally, which may pose privacy issues. Finally, a natural way of communication for the user is to use the dialogue to interact with the smart home via dialogue manager.This thesis proposes contributions on these three sides, most of them based on deep learning
Chen, Chien-Chou, and 陳建州. "Applying Smart Phone and Personal Digital Assistant in the Diagnosis of Insomnia." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/58272989899514413019.
Full text國立陽明大學
醫學工程研究所
99
Insomnia is a common health issue. According to research findings, insomnia had higher prevalence rate year by year. Sleep disturbance is associated with major psychiatric disorders and some chronic diseases such as diabetes mellitus, hypertension, hyperlipidemia, etc. Diagnosis of insomnia is mainly by the method of diagnostic interview, few using instruments. The rate of misdiagnosis of insomnia and misuse of hypnotics is high if diagnosis is made only by interviewing. Examination of insomnia by instrument is difficult due to lack of resources and too expensive in Taiwan. So it is time to develop new tools which are cheap and effective to discover the real problem of insomnia. In our research, computer programs were developed for hand-held equipment to collect data of sleep. Sleep-related questionnaire and diagnostic interview was also done. Data of these diagnostic tools were analyzed and compared. Twenty three subjects, consisting of 11 non-insomnia participants and 12 psychiatric outpatients completed the experiment. The results showed the data of equipment and questionnaire had good consistence in time of go to bed, wake up, visual analog scale. Data of equipment showed superior information about sleep efficiency and some detailed data. But it showed inconsistence in evaluating about difference of difficulty in falling asleep and fragmented sleep. This method could provide more information for diagnosis of insomnia and resolution of problems.
Books on the topic "Smart personal assistant"
Smart homes in easy steps: Master smart technology for your home. 2018.
Find full textJohansen, Bruce, and Adebowale Akande, eds. Nationalism: Past as Prologue. Nova Science Publishers, Inc., 2021. http://dx.doi.org/10.52305/aief3847.
Full textBook chapters on the topic "Smart personal assistant"
Kolhe, Shivam, Sonia Nagpal, Priya Makwana, and Chintan Bhatt. "Smart Home: Personal Assistant and Baby Monitoring System." In Emerging Technologies for Health and Medicine, 259–84. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119509875.ch19.
Full textCastillo, José Carlos, Álvaro Castro-González, Fernándo Alonso-Martín, Antonio Fernández-Caballero, and Miguel Ángel Salichs. "Emotion Detection and Regulation from Personal Assistant Robot in Smart Environment." In Intelligent Systems Reference Library, 179–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62530-0_10.
Full textNogueira, Danilo M., Cristiano Maciel, José Viterbo, and Daniel Vecchiato. "A Privacy-Driven Data Management Model for Smart Personal Assistants." In Human Aspects of Information Security, Privacy and Trust, 722–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58460-7_49.
Full textBehrendt, Wernher, and Felix Strohmeier. "Orchestration and Situation Awareness in an Assistance System for Assembly Tasks." In IFIP Advances in Information and Communication Technology, 332–43. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72632-4_25.
Full textDickhaut, Ernestine, Andreas Janson, and Jan Marco Leimeister. "Codifying Interdisciplinary Design Knowledge Through Patterns – The Case of Smart Personal Assistants." In Designing for Digital Transformation. Co-Creating Services with Citizens and Industry, 114–25. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64823-7_12.
Full textKittl, Christian, and Markus Streibl. "Live Video Assistance Systems for Assembly Processes." In IFIP Advances in Information and Communication Technology, 324–31. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72632-4_24.
Full textKant, Tanya. "Validating the Self through Google." In Making it Personal, 158–99. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190905088.003.0006.
Full textBova, Viktoriia Viktorovna, Sergei Ivanovich Rodzin, Oksana Nikolaevna Istratova, Iurii Alekseevich Kravchenko, Viktor Mikhailovich Kureichik, and Natalia Aleksandrovna Lyz. "Smart education: kontekstno zavisimaia sistema-assistent." In Education and science: current trends, 6–20. Publishing house Sreda, 2019. http://dx.doi.org/10.31483/r-33109.
Full textYalovitsyna, Svetlana E., Valentina V. Volokhova, and Dmitry G. Korzun. "Smart Museum." In Tools and Technologies for the Development of Cyber-Physical Systems, 236–55. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1974-5.ch009.
Full textCrowther, P. "Mobile Learning Environments." In Encyclopedia of Mobile Computing and Commerce, 528–32. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59904-002-8.ch088.
Full textConference papers on the topic "Smart personal assistant"
Mane, Prajyot, Shubham Sonone, Nachiket Gaikwad, and Jyoti Ramteke. "Smart personal assistant using machine learning." In 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS). IEEE, 2017. http://dx.doi.org/10.1109/icecds.2017.8390128.
Full textKodre, Aniket, Komal Tikone, Mansi Sonawane, Pratik Jare, and Purva Shinde. "Smart and Efficient Personal Car Assistant System." In 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). IEEE, 2018. http://dx.doi.org/10.1109/i-smac.2018.8653752.
Full textChayapathy, V., G. S. Anitha, and B. Sharath. "IOT based home automation by using personal assistant." In 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon). IEEE, 2017. http://dx.doi.org/10.1109/smarttechcon.2017.8358401.
Full textFelix, Shubham Melvin, Sumer Kumar, and A. Veeramuthu. "A Smart Personal AI Assistant for Visually Impaired People." In 2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2018. http://dx.doi.org/10.1109/icoei.2018.8553750.
Full textMakula, Pooja, Anurag Mishra, Akshay Kumar, Krit Karan, and V. K. Mittal. "Smart phone tilt and voice controlled personal robotic assistant." In 2015 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2015. http://dx.doi.org/10.1109/conecct.2015.7383891.
Full textSenevirathne, S. S., G. U. D. Fernando, J. B. White, S. T. H. Divyanjala, Udara Srimath S. Samaratunge Arachchillage, and D. P. N. P. Dias. "Smart Personal Intelligent Assistant for Candidates of IELTS Exams." In 2020 2nd International Conference on Advancements in Computing (ICAC). IEEE, 2020. http://dx.doi.org/10.1109/icac51239.2020.9357150.
Full textChen, J. Y., and T. Jeng. "Using personal service assistant for direct manipulation in smart space." In DIGITAL ARCHITECTURE 2006. Southampton, UK: WIT Press, 2006. http://dx.doi.org/10.2495/darc060181.
Full textTendolkar, Atharv, and S. Ramya. "CareBro (Personal Farm Assistant):An IoT based Smart Agriculture with Edge Computing." In 2020 Third International Conference on Multimedia Processing, Communication & Information Technology (MPCIT). IEEE, 2020. http://dx.doi.org/10.1109/mpcit51588.2020.9350481.
Full textSunehra, Dhiraj, B. Jhansi, and R. Sneha. "Smart Robotic Personal Assistant Vehicle Using Raspberry Pi and Zero UI Technology." In 2021 6th International Conference for Convergence in Technology (I2CT). IEEE, 2021. http://dx.doi.org/10.1109/i2ct51068.2021.9417868.
Full textFreire, Fernando, Thatiane Rosa, Guilherme Feulo, Carlos Elmadjian, Renato Cordeiro, Shayenne Moura, Acácio Andrade, et al. "Toward Development of A.D.A. – Advanced Distributed Assistant." In XXI Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/wscad.2020.14070.
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