Готові списки джерел за темами / Pedestrian voice

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Добірка наукової літератури з теми "Pedestrian voice"

Автор: Grafiati

Опубліковано: 25 січня 2025

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Статті в журналах з теми "Pedestrian voice"

He, Xue Jiao, Xiao Li Wang, and Zhi Fu Huang. "Research and Application of Voice Chip in Pedestrian Voice Unit of Electric Vehicles." Applied Mechanics and Materials 263-266 (December 2012): 731–34. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.731.

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Focusing on the study of the application of voice single-chip microcomputer of pedestrian voice unit in electric vehicles, this paper mainly discusses and analyzes that how to drive the voice chip of pedestrian voice unit. Acted as voice part of pedestrian voice unit in electric vehicles, voice single-chip microcomputer is used not only to achieve the better quality and stability, but also to play voice assembly and insert perfect mute by using the related voice chip software compared to the other similar simulate voice. This paper proposes the solution of installing pedestrian voice unit that eliminates radically the potential safety hazard of “being too quiet” in electric vehicles, thereby further promotes the popularization of electric vehicles.

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Papageorgiou, George N., Demetris Demetriou, Elena Tsappi, and Athanasios Maimaris. "Analyzing the Requirements for Smart Pedestrian Applications: Findings from Nicosia, Cyprus." Smart Cities 7, no. 4 (July 24, 2024): 1950–70. http://dx.doi.org/10.3390/smartcities7040077.

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This paper elicits and analyzes the main requirements for Smart Pedestrian applications designed to enhance the pedestrian experience in urban environments by offering optimized walking routes, improved accessibility, and support for social inclusion and connectivity. Utilizing a mixed-methods approach, the research combines qualitative insights with quantitative data analysis based on surveys conducted in two strategically selected urban areas of Nicosia, Cyprus. Through the survey, the requirements and potential use of Smart Pedestrian apps are investigated while accounting for the quality of service of the urban infrastructure in a medium-sized city context. Additionally, the study contrasts the current smartphone applications, as they predominantly facilitate vehicular transportation, with the potential use of ICT/ITS to support pedestrians for sustainable mobility. The findings reveal a significant demand for a Pedestrian Smartphone app, driven by its ability to provide relevant information on optimum pedestrian routes, as well as act as a citizen’s voice for spotting infrastructure problems and improving the pedestrian network. Further, it is also revealed that limitations in the pedestrian infrastructure substantially restrict walking preferences, emphasizing the need for urgent city-level urban planning solutions to support active mobility. Additionally, the research carried out underscores the importance of a sustainable business model to support the successful deployment of Smart Pedestrian apps. Ultimately, the results of the study suggest prioritizing a smart technology leverage with a crowdsourcing social network business model to promote pedestrian mobility, thereby reducing vehicular dependence, enhancing public health, and improving the quality of life. Such an approach would act as catalyst for policymakers to concentrate on sustainability by investing in digital technology for integrated pedestrian networks, fostering the emergence of genuine smart cities.

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Setiadi, Budi, Tata Supriyadi, Hertog Nugroho, and Ridwan Solihin. "Navigation and Object Detection for Blind Persons Based on Neural Network." Current Journal: International Journal Applied Technology Research 1, no. 1 (April 17, 2020): 56–65. http://dx.doi.org/10.35313/ijatr.v1i1.24.

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Tools for blind people with mobility activities in pedestrian pathways have been widely launched, approved and patented. However, there are still shortcomings that can be done only for pedestrian paths or nearby destinations. In this study, both a camera (detection of the pedestrian path) and LiDAR (detection of surrounding objects) sensors to help disability activities. The first stage of image data from the preparatory camera from RGB to XYZ, color filters, close morphology, resizing, learning and testing of neural networks. Bring up 3 voice attitudes information. Attitudes are perpendicular, left tilted, right tilted, or not reversed to the pedestrian yellow path. The second stage of the LiDAR distance points data is processed into 2D array geometry, learning, and testing of neural networks. Bring up the information 8 voice attitudes. Detection of the cycle and distance of objects right side, front, left, right-front, right-left, front-left, right-front-left, not captured. The test results approximately at lux <15000 got 89.7% accuracy for pedestrian path detection and 87.5% for object detection.

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Krzemień, Piotr. "Znaczenie pojęcia „pieszy wchodzący” – głos polemiczny." Paragraf na Drodze, no. 4/2022 (March 8, 2023): 21–42. http://dx.doi.org/10.4467/15053520pnd.22.021.17417.

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Opracowanie jest kontynuacją publikacji autora dotyczących zmian ustawy Prawo o ruchu drogowym w zakresie pierwszeństwa pieszych. Jednocześnie stanowi polemikę z poglądem polegającym na stwierdzeniu, że pieszy wchodzący na przejście to taki „który zaraz wkroczy na przejście” i w praktyce znajduje się poza przejściem dla pieszych, czyli w małej odległości od krawędzi jezdni i przejścia. The meaning of term “a pedestrian entering a zebra crossing” – a polemical voice The article is a follow-up to the author’s publication on the amendments to the Act on Road Traffic in the field of pedestrians’ right of way. It is also a polemic against the view that a pedestrian entering a zebra crossing is one “that is about to enter the crossing” while he/she is actually outside the crossing proper, in other words at a small distance from the curb and the crossing.

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Dou, Jinzhen, Shanguang Chen, Zhi Tang, Chang Xu, and Chengqi Xue. "Evaluation of Multimodal External Human–Machine Interface for Driverless Vehicles in Virtual Reality." Symmetry 13, no. 4 (April 15, 2021): 687. http://dx.doi.org/10.3390/sym13040687.

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With the development and promotion of driverless technology, researchers are focusing on designing varied types of external interfaces to induce trust in road users towards this new technology. In this paper, we investigated the effectiveness of a multimodal external human–machine interface (eHMI) for driverless vehicles in virtual environment, focusing on a two-way road scenario. Three phases of identifying, decelerating, and parking were taken into account in the driverless vehicles to pedestrian interaction process. Twelve eHMIs are proposed, which consist of three visual features (smile, arrow and none), three audible features (human voice, warning sound and none) and two physical features (yielding and not yielding). We conducted a study to gain a more efficient and safer eHMI for driverless vehicles when they interact with pedestrians. Based on study outcomes, in the case of yielding, the interaction efficiency and pedestrian safety in multimodal eHMI design was satisfactory compared to the single-modal system. The visual modality in the eHMI of driverless vehicles has the greatest impact on pedestrian safety. In addition, the “arrow” was more intuitive to identify than the “smile” in terms of visual modality.

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Rajashekar, Gali, Masani Sai Bhargav Reddy, Mummineni Lokesh, Mannem Hemanth, and Revanth Kumar Borra. "Digitalized Voice-Command-Based Social Distancing Robot." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 2998–3003. http://dx.doi.org/10.22214/ijraset.2022.41957.

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Abstract: People practicing social distancing has been an essential step in limiting COVID-19 transmission. Even after repeated warnings, many people fail to practice social separation. We describe a unique method for automatically recognizing two persons who do not follow social distancing rules, such as keeping a distance of around 6 feet between them. Congested traffic or dense pedestrian areas are part of our plan. We use a portable robot with a ultrasonic sensor, and an RGB-D camera and a 2- D shutter, to promote non-collision moving in the crowd and to compute the distance between all humans identified in the camera viewing field. With the use of a heat-sensing sensor, our robot can also detect a person's body temperature and notify safety/healthcare specialists. Indoors, our mobile robot may be linked to the location's CCTV cameras to boost performance based on the number of community violations identified, accurate pedestrian tracking, and other factors. We underline the benefits of employing our technology in a unique and adaptable manner against covid-19, which helps to mitigate the impact of covid-19 cases caused by a lack of social distance. Keywords: Voice-controlled Robotic, Rasberry Pi, L293D, Distance Check, OpenCV, Depth Sensing, Covid-19, Automation Systems, DC Mortors, Sensors.

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Huang, Long, and Chen Wang. "Unobtrusive Pedestrian Identification by Leveraging Footstep Sounds with Replay Resistance." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, no. 4 (December 27, 2021): 1–19. http://dx.doi.org/10.1145/3494963.

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The ability to identify pedestrians unobtrusively is essential for smart buildings to provide customized environments, energy saving, health monitoring and security-enhanced services. In this paper, we present an unobtrusive pedestrian identification system by passively listening to people's walking sounds. The proposed acoustic system can be easily integrated with the widely deployed voice assistant devices while providing the context awareness ability. This work focuses on two major tasks. Firstly, we address the challenge of recognizing footstep sounds in complex indoor scenarios by exploiting deep learning and the advanced stereo recording technology that is available on most voice assistant devices. We develop a Convolutional Neural Network-based algorithm and the footstep sound-oriented signal processing schemes to identify users by their footstep sounds accurately. Secondly, we design a "live" footstep detection approach to defend against replay attacks. By deriving the novel inter-footstep and intra-footstep characteristics, we distinguish live footstep sounds from the machine speaker's replay sounds based on their spatial variances. The system is evaluated under normal scenarios, traditional replay attacks and the advanced replays, which are designed to forge footstep sounds both acoustically and spatially. Extensive experiments show that our system identifies people with up to 94.9% accuracy in one footstep and shields 100% traditional replay attacks and up to 99% advanced replay attacks.

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Han, Ke, Ning Zhang, Haoyang Xie, and Qianlong Wang. "Application of Multi-Feature Fusion Based on Deep Learning in Pedestrian Re-Recognition Method." Mobile Information Systems 2022 (September 16, 2022): 1–10. http://dx.doi.org/10.1155/2022/5292134.

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A system known as pedestrian recognition makes use of several cameras to identify the surrounding area and quickly identify and match the target demographic. Based on pedestrian recognition, the picture model, pedestrian features, and other information, the features are developed to have a high degree of generalizability, distinctiveness, and accuracy. The application approach for pedestrian re-recognition based on deep learning for numerous features is proposed in this paper. The suggested approach successfully preserves high-level semantic information, which helps network members extract all of the pedestrian properties. As external material and semantic information were combined horizontally and vertically, environmental interference was decreased, and people’s ability to create networks was enhanced. The voice channel of the speech system was introduced in order to fully utilize the global information network, and the connection between the channels was carefully addressed in order to enhance the global information network’s capacity for expression. The null convolution reduced the operational continuity of the identification information. To increase the consistency of the data, the multi-level spatial convolution structure was merged with the entire image in this paper. After numerous experiments, the three groups were 89.5%, 89.5%, and 89.1%, respectively, compared to 1501, DukeMTMC-reID, CUHK03, and other medial groups, and the experimental results were 85% and 89.5%, respectively. The multimode feedback MP3 module was taken from the MP3 module in order to gain richer and denser multimode feature information. Comparing the module’s initial response level (RANK1) with the various cycles yields the average accuracy for each cycle (catalog). The experiment demonstrates that the two mixed pile groups can enhance the modulus of the mixed pile group and get better results. The multi-level multi-scale pole function effectively combines the characteristics of pedestrians in various scales, and the addition of the ASP module enhanced the network context information’s overall ability to be represented, aided in this chapter’s research method’s ability to more thoroughly analyze scene structure, and increased the precision of pedestrian re-recognition.

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Eriksson, Christine, and Monica Sand. "Placing voice meetings through vocal strolls – Toddlers in resonance with public space." SoundEffects - An Interdisciplinary Journal of Sound and Sound Experience 7, no. 2 (December 21, 2017): 64–78. http://dx.doi.org/10.7146/se.v7i2.102927.

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In early childhood education voice metaphors are often used to describe children’s participation, development or efforts to make themselves heard. This article aims to study the ways in which vocal metaphors take place in material and physical events in the Brunkeberg Tunnel (a pedestrian tunnel) in Stockholm, Sweden. Together with preschool toddlers we have developed ‘vocal strolls’ as a research method for early childhood research, where voice as an event takes place in, with and through resonance, rhythms, routines and refrains. To be able to discuss what vocal strolls consist of and what they may offer the toddlers as well as early childhood education we have developed new concepts. These concepts, voice meetings, voice orientations, voice rooms and vocal memory, take into account a relational and spatial way to compose voice, which may be utilised as a didactic method for amplifying voice as a phenomena among preschool toddlers.

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Alfaisaly, Noor Nateq, Suhad Qasim Naeem, and Azhar Hussein Neama. "Enhancement of WiMAX networks using OPNET modeler platform." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 3 (September 1, 2021): 1510. http://dx.doi.org/10.11591/ijeecs.v23.i3.pp1510-1519.

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Worldwide interoperability microwave access (WiMAX) is an 802.16 wireless standard that delivers high speed, provides a data rate of 100 Mbps and a coverage area of 50 km. Voice over internet protocol (VoIP) is flexible and offers low-cost telephony for clients over IP. However, there are still many challenges that must be addressed to provide a stable and good quality voice connection over the internet. The performance of various parameters such as multipath channel model and bandwidth over the Star trajectoryWiMAX network were evaluated under a scenario consisting of four cells. Each cell contains one mobile and one base station. Network performance metrics such as throughput and MOS were used to evaluate the best performance of VoIP codecs. Performance was analyzed via OPNET program14.5. The result use of multipath channel model (disable) was better than using the model (ITU pedestrian A). The value of the throughput at 15 dB was approximately 1600 packet/sec, and at -1 dB was its value 1300 packet/se. According to data, the Multipath channel model of the disable type the value of the MOS was better than the ITU Pedestrian A type.

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Більше джерел

Дисертації з теми "Pedestrian voice"

Siliezar, Montoya Jonathan. "Multi-source modelling of urban sound environments." Electronic Thesis or Diss., Le Mans, 2024. http://www.theses.fr/2024LEMA1028.

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Le nombre de personnes vivant dans les villes ne cesse d'augmenter et l'on estime que d'ici 2050, près de 66 % des 9,5 milliards d'habitants de la planète seront des citadins. Avec l'urbanisation rapide, de nouveaux défis environnementaux en matière de développement durable et de santé publique sont devenus essentiels. De nombreux travaux de recherche ont mis en lumière les effets négatifs d'une exposition prolongée au bruit sur la santé humaine : augmentation du risque de maladies cardiovasculaires, santé mentale et troubles du sommeil. Selon le rapport de l'Agence européenne pour l'environnement de 2017, au moins 18 millions de personnes sont fortement gênées et 5 millions sont fortement perturbées dans leur sommeil en raison d'une exposition prolongée au bruit dans l'Union européenne. Des actions politiques telles que la Directive Européenne de 2002 ont été mises en place pour évaluer l'impact du bruit par les États et les acteurs territoriaux. À cette fin, des cartes de bruit sont proposées pour évaluer l'exposition au bruit sur un territoire, mais elles se limitent à de simples indicateurs de l'environnement acoustique : le niveau sonore moyen lorsqu'il dépasse un certain seuil, calculé uniquement pour quelques sources considérées comme gênantes ou nuisibles (trafic routier, ferroviaire, aérien et industriel). Ces approches négligent souvent la dynamique et la complexité intrinsèque des environnements sonores urbains, négligeant ainsi leur dynamique temporelle et la multiplicité des sources qui intègrent la composition urbaine.En effet, les environnements sonores urbains abritent une grande diversité de sources sonores, chacune contribuant à sa manière à l'expérience sonore d'un lieu. Ils se caractérisent par leur complexité, leur variabilité et leur nature dynamique, façonnés par des facteurs tels que l'aménagement urbain, les modes d'occupation des sols, les infrastructures et le comportement humain. Alors que les méthodes traditionnelles se concentraient exclusivement sur les sources de bruit, une nouvelle approche pluridisciplinaire a vu le jour : le paysage sonore. Introduit par R. M. Schafer dans les années 1970, le concept de paysage sonore s'écarte de la vision négative et réactive des réglementations en matière de contrôle du bruit et offre une perspective de l'identité acoustique d'un lieu, naturellement liée à la perception humaine. À l'origine, le concept de paysage sonore était présenté comme une « expérience de reconnexion avec l'environnement sonore autour » avant d'évoluer vers une approche multidisciplinaire centrée sur l'humain et impliquant des architectes, des concepteurs urbains et des autorités locales et nationales. S'appuyant souvent sur des évaluations perceptives, des données acoustiques et des modèles statistiques, l'approche du paysage sonore est utilisée pour estimer la dimensionnalité des attributs du paysage sonore et la perception qui y est liée, fournissant ainsi de riches informations sur la qualité sonore des espaces urbains et sur la manière dont les êtres humains s'y rapportent. Néanmoins, en raison de la nature complexe de ces environnements, la prise en compte physique de la multiplicité des sources et de leur dynamique constitue actuellement un verrou scientifique dans la modélisation de ces environnements. Ainsi, toute représentation pertinente de ces systèmes complexes devrait englober tous les sons audibles, tels que les voix humaines, les chants d'oiseaux, l’eau ou la musique et sa dynamique, en plus des sources « négatives » traditionnelles (par exemple, le trafic routier). Dans ce contexte, la modélisation multi-sources apparaît comme un cadre prometteur pour caractériser les environnements sonores urbains. Cette approche permet l'intégration simultanée de diverses sources sonores et leur représentation à l'aide de techniques cartographiques.(...)
The number of people living in cities is constantly increasing, and it is estimated that by 2050, almost 66% of the world's 9.5 billion inhabitants will be urban dwellers. With rapid urbanization, new environmental challenges of sustainable development and public health have become central. Evidence from numerous research endeavors have shed light on the negative impacts of prolongated exposure to noise on human health: increase in the risk of cardiovascular diseases, mental health, and sleep disturbance. According to the European Environment Agency report in 2017, at least 18 million people are highly annoyed and 5 million are highly sleep disturbed because of long-term exposition to noise in the European Union. Political actions such as the 2002 European Directive have been introduced to assess the impact of noise by states and territorial players. To this end, noise maps have been enforced in the evaluation of the exposure to noise in a territory, however, they are limited to simple indicators of the acoustic environment: the average sound level when it exceeds a certain threshold, calculated only for a few sources considered as annoying or harmful (road, rail, air traffic, and industrial). These approaches often oversee the intrinsic dynamics and complexity of urban sound environments, thus neglecting their temporal dynamics and the multiplicity of sources that integrate the urban composition. Indeed, urban sound environments host a great diversity of sound sources, each contributing in its own way to the sonic experience of a place. They are characterized by their complexity, variability, and dynamic nature, shaped by factors such as urban design, land use patterns, infrastructure, and human behavior. As traditional assessment methods focused exclusively on noise sources, a new, multi-disciplinary approach emerged: the soundscape. Coined by R. M. Schafer in the 1970s, the soundscape concept diverges from the negative and reactive vision of noise control regulations and offers a perspective of the acoustical identity of a place, naturally intertwined with human perception. At its origins, the soundscape concept was coined as a “reconnecting experience with the sonic environment around” prior to evolving into a multidisciplinary approach centered around the human and that involves architects, urban designers, and local to national authorities. Often relying on perceptual assessments, acoustical data, and statistical models, the soundscape approach is used for estimating the dimensionality of soundscape attributes and the perception related to them, thus providing rich insights about the sonic quality of urban spaces and how humans relate to it. Nevertheless, due to the complex nature of these environments, a current scientific bottleneck in the modeling of such environments is the physical consideration of the multiplicity of sources and their dynamics. Thus, any pertinent representation of such complex systems should encompass all audible sounds, such as human voices, birdsong, water, or music and its dynamics; in addition to traditional “negative” sources (e.g. road traffic). In this context, multi-source modelling emerges as a promising framework to characterize urban sound environments. This approach allows for the simultaneous integration of diverse sound sources and their representation through the use of cartographic techniques. The ultimate goal of the work presented in this thesis is to develop and explore a numerical modelling framework for urban sound environments based on a multi-source principle that accurately conveys the dynamics of urban compositions.(...)

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Частини книг з теми "Pedestrian voice"

Nilsson, Daniel, and Håkan Frantzich. "Design of Voice Alarms—the Benefit of Mentioning Fire and the Use of a Synthetic Voice." In Pedestrian and Evacuation Dynamics 2008, 135–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04504-2_10.

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Purser, David. "Comparisons of Evacuation Efficiency and Pre-travel Activity Times in Response to a Sounder and Two Different Voice Alarm Messages." In Pedestrian and Evacuation Dynamics 2008, 121–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04504-2_9.

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Rehrl, Karl, Elisabeth Häusler, Renate Steinmann, Sven Leitinger, Daniel Bell, and Michael Weber. "Pedestrian Navigation with Augmented Reality, Voice and Digital Map: Results from a Field Study assessing Performance and User Experience." In Advances in Location-Based Services, 3–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24198-7_1.

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Jarvis, Robin. "Walking and Talking: Late-Romantic Voices." In Romantic Writing and Pedestrian Travel, 192–215. London: Palgrave Macmillan UK, 1997. http://dx.doi.org/10.1057/9780230371361_7.

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Rehrl, Karl, Elisabeth Häusler, and Sven Leitinger. "Comparing the Effectiveness of GPS-Enhanced Voice Guidance for Pedestrians with Metric- and Landmark-Based Instruction Sets." In Geographic Information Science, 189–203. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15300-6_14.

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Reynolds, David S. "Introduction." In A Historical Guide to Walt Whitman, 3–14. Oxford University PressNew York, NY, 2000. http://dx.doi.org/10.1093/oso/9780195120813.003.0001.

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Abstract One of America’s most beloved and influential writers, Walttman (1819-1892) brought a radical democratic inclusiveness to literature, transforming the diverse, sometimes pedestrian an images of his culture into soaring, fresh poetry through his exuberant personality. He opened the way for modern writers by experimenting with innovative social and sexual themes and by replacing rhyme and meter with a free-flowing, prose-like poetic form that followed the natural rhythms of voice and feeling.

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Özgen, Asli. "Walking amidst Ruins: A Pedestrian Cinema." In The Aesthetics and Politics of Cinematic Pedestrianism. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2022. http://dx.doi.org/10.5117/9789463724753_ch05.

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This chapter explores the conceptions of the city and everyday life in the writings of filmmakers from Fascist-era and post-Fascist Italy. Going out on the street with a camera to observe everyday life in its uninterrupted flow and to shoot without intervention was a recurrent urge voiced by many filmmakers. Taking inspiration from Zavattini’s concept of pedinamento, I analyse cinematographic images of pedestrian acts in three films—Roma, Città Aperta (Rome, Open City), Germania Anno Zero (Germany, Year Zero), and Ladri di Biciclette (The Bicycle Thieves)—which I have selected for comparison in order to explore the transformation of the social and political background, and its effect on the aesthetics of the city and the cinematic image of walking.

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Fargnoli, Nicholas, and Michael Patrick Gillespie. "J." In James Joyce A To Z, 115–26. Oxford University PressNew York, NY, 1996. http://dx.doi.org/10.1093/oso/9780195110296.003.0010.

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Abstract Jacobsen, Jens Peter (1847-1885) Danish poet and novelist who introduced the techniques of NATURALISM to Danish literature. He subsequently gained prominence as the movement’s best known exponent in Denmark. Jacobsen exemplifies the type of writer whom the young Joyce admired and sought to emulate, and Joyce refers to him in his early essay “The DAY OF THE RABBLEMENT” (1901), in which Joyce illustrates the limitations of contemporary Irish literature by contrasting the innovative prose of Jacobsen’s style with the more pedestrian efforts of George MOORE. After he left Ireland Joyce continued to read Jacobsen, and he had a copy of an English translation of Jacobsen’s second novel, Siren Voices (Niels Ly/me), in his Trieste library. Evidence from his correspondence indicates that he first read the book early in 1905. (See Letters II.83.) “James Clarence Mangan” An essay written by Joyce as a university student and first delivered as a lecture at the 1 February 1902 meeting of the Literary and Historical Society of UNIVERSITY COLLEGE, DUBLIN. It was subsequently published in the unofficial university magazine, St Stephen’s, in May of the same year.

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Dirksen, Rebecca. "Zafè Fatra (The Affair of Trash) and the Affair of Scholarly Engagement." In Transforming Ethnomusicology Volume I, 110–30. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197517604.003.0008.

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This chapter examines the challenges and ethics of an applied ethnomusicologist working in Haiti. She scrutinizes whether the impact of ethnomusicologists and scholars, especially when dealing with nonmusical issues such as trash, can be anything more than superficial. Intimately tied to poverty, health insecurity, political uncertainty, and structural violence, trash is one of the most visible and hazardous challenges in Port-au- Prince today. Pedestrians are frequently forced to traverse piles of garbage on their daily routes, and many Haitian citizens speak of politik fatra, a “politics of trash,” that governs civic behavior to a surprising extent. Notably, the mounting trash problem has given rise to a distinct and growing musical discourse on garbage. This repertoire might be tied to mizik angaje—literally, “engaged music,” a genre-crossing expressive form featuring politically and socially engaged lyrics that has been central to the nation’s historical record from the colonial era to the present. Yet youth today are reframing this revered tradition of “throwing” pointed verbal criticisms through music. Namely, several groups of young musicians routinely use their songs to voice concerns about environmental degradation and inappropriate dumping practices, but these musicians’ engagement with trash does not end with their lyrics. Certain artists are physically trying to combat the problem and to empower their local communities toward concrete action. The chapter looks at what happens when Haitian youth use music to clean up Haiti’s streets, before reflecting more deeply on what happens when ethnomusicologists use research methodologies to encourage the process of community engagement.

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Тези доповідей конференцій з теми "Pedestrian voice"

Singamsetty, Rasagna, Lakshmi Tejaswini Karani, Shreya Pyata, Deepika Boppanaboyani, and Neha Nandal. "Voice based pedestrian system using machine learning." In LOW RADIOACTIVITY TECHNIQUES 2022 (LRT 2022): Proceedings of the 8th International Workshop on Low Radioactivity Techniques. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0163810.

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Muhsinzoda, Mirzodaler, Carlos Cruz Corona, David A. Pelta, and Jose Luis Verdegay. "Activating accessible pedestrian signals by voice using keyword spotting systems." In 2019 IEEE International Smart Cities Conference (ISC2). IEEE, 2019. http://dx.doi.org/10.1109/isc246665.2019.9071684.

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Nilsson, John-Olof, Christian Schuldt, and Peter Handel. "Voice radio communication, pedestrian localization, and the tactical use of 3D audio." In 2013 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2013. http://dx.doi.org/10.1109/ipin.2013.6817918.

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Iida, Hirokazu, Kei Hiroi, Katsuhiko Kaji, and Nobuo Kawaguchi. "A proposal of IndoorGML extended data model for pedestrian-oriented voice navigation system." In SIGSPATIAL'15: 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2834812.2834814.

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Ohta, Asami, Satoshi Okano, Nobuto Matsuhira, and Yuka Kato. "Evaluating Pre-trained Predictor Models of Pedestrian Destinations for a Voice Guidance Robot*." In 2019 16th International Conference on Ubiquitous Robots (UR). IEEE, 2019. http://dx.doi.org/10.1109/urai.2019.8768589.

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Ohta, Asami, Satoshi Okano, Nobuto Matsuhira, and Yuka Kato. "Robustly Predicting Pedestrian Destinations Using Pre-trained Machine Learning Model for a Voice Guidance Robot*." In IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2019. http://dx.doi.org/10.1109/iecon.2019.8927554.

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Johnson, Jason S., Matthew Parker, Christina James, Joshua Taron, and Logan Armstrong. "FXAT SCREEN." In 2016 ACSA International Conference. ACSA Press, 2016. http://dx.doi.org/10.35483/acsa.intlp.2016.11.

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The FXAT Screen seeks to reclaim the presence of architecture and its imagery in the public realm. CNC milled opaque plywood panels produce a thickened surface revealing the material stratification within the planar surfaces. In direct contrast to the hyper smooth and streamlined aesthetic of contemporary media devices, the FXAT Screen wraps an artificial topography around an exaggerated cantilevered form that addresses both the pedestrian corridor of the urban core and the main venues for the RAIC ArchitectureFestival. A gradient of openings migrates across the form toward the street, concluding with a 14 x 7-foot rear projection screen showing the work of 15 emerging Canadian architecture firms in the RAIC’s Future Voice: Situating Architecture Exhibition.

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P, Anuja, and Anuja S. B. "Dense Net Model Based Traffic Sign Board Recognition and Voice Alert System." In The International Conference on scientific innovations in Science, Technology, and Management. International Journal of Advanced Trends in Engineering and Management, 2023. http://dx.doi.org/10.59544/qroq2978/ngcesi23p35.

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To ensure a smooth and secure flow of traffic, road signs are essential. A major cause of road accidents is negligence in viewing the Traffic signboards and interpreting them incorrectly. The proposed system helps in recognizing the Traffic sign and sending a voice alert through the speaker to the driver so that he/ she may take necessary decisions. The proposed system is trained using Convolutional Neural Network (CNN) which helps in traffic sign image recognition and classification. A set of classes are defined and trained on a particular dataset to make it more accurate. The German Traffic Sign Benchmarks Dataset was used, which contains approximately 43 categories and 51,900 images of traffic signs. The accuracy of the execution is about 98.52 percent. Following the detection of the sign by the system, a voice alert is sent through the speaker which notifies the driver. The proposed system also contains a section where the vehicle driver is alerted about the traffic signs in the near proximity which helps them to be aware of what rules to follow on the route. The aim of this system is to ensure the safety of the vehicle’s driver, passengers, and pedestrians.

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Nadayanur Sathis Kanna, Akshara, Eiji Kamioka, Manami Kanamaru, and Tan Phan Xuan. "Voice-Guided Puddle Avoidance Walking Support System for Visually Impaired Pedestrians." In WSSE 2024: 2024 The 6th World Symposium on Software Engineering (WSSE), 237–43. New York, NY, USA: ACM, 2024. https://doi.org/10.1145/3698062.3698097.

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Basavaraju R and Chetana Hegde. "Traffic signal time analysis and voice - based app for visually impaired pedestrians." In 2015 International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT). IEEE, 2015. http://dx.doi.org/10.1109/erect.2015.7499062.

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