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Journal articles on the topic 'Pedestrian voice'

Author: Grafiati

Published: 25 January 2025

Last updated: 31 July 2025

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1

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

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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 (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 o

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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 (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

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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’ r

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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 (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, a

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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 (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 hu

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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

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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 (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 exploit

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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 (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 t

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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 (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 co

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Wazana, Ashley. "Are There Injury-Prone Children? A Critical Review of the Literature." Canadian Journal of Psychiatry 42, no. 6 (1997): 602–10. http://dx.doi.org/10.1177/070674379704200606.

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Objectives: To review the evidence of general injury and pedestrian injury studies to determine if there are child behavioural, emotional, developmental, or physical characteristics that put children at higher risk for injury and, if there are such proneness risk factors, to determine their importance relative to other risk factors. Methods: This paper critically assesses 11 general child injury studies and 6 child pedestrian injury studies that have examined variables of child proneness. Information on study design, source of data, magnitude and significance of the risk factors identified, an

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Xu, Yawei, Tong Qin, Yulin Wu, Cheng Yu, and Weihua Dong. "How do voice-assisted digital maps influence human wayfinding in pedestrian navigation?" Cartography and Geographic Information Science 49, no. 3 (2022): 271–87. http://dx.doi.org/10.1080/15230406.2021.2017798.

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Kun, Zheng, Wang Wenpeng, and Sun Guangmin. "An Effective Recognition Method for Road Information Based on Mobile Terminal." Mathematical Problems in Engineering 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/781903.

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This paper describes a design of fast recognition of road information based on mobile terminal. Firstly, based on the HOG algorithm, we study and verify the effects of different parameters on the performance of the algorithm. Secondly, we test 800 images randomly selected from the INRIA pedestrian dataset to obtain the optimal parameters for the mobile terminal and the proportion of video resolution and detection window. Then, under the same test conditions, the time overheads of the SVMLight and the LibSVM are recorded and SVMLight training time is significantly less than LibSVM. Thirdly, we

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Calvi, Alessandro. "Distraction Effects of Manual Texting and Voice Messaging When Approaching Pedestrian Crossings on Urban Roads: a Driving Simulator Study." European Transport/Trasporti Europei, no. 97 (May 2024): 1–11. http://dx.doi.org/10.48295/et.2023.97.6.

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The purpose of this study was to assess the impact of texting while driving on driver performance and road safety. In order to achieve this goal, 51 participants took part in a driving simulator study that replicated an urban environment. During the trials, text messages with questions of equal cognitive weight were sent to be answered via 1) a manual texting application or 2) a voice message application. A baseline condition with no secondary task was also tested. Along the simulated route, there were some events that could cause a crash, like pedestrians crossing on-and-off crosswalks. The o

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Calvi, Alessandro. "Distraction Effects of Manual Texting and Voice Messaging When Approaching Pedestrian Crossings on Urban Roads: a Driving Simulator Study." European Transport/Trasporti Europei, no. 97 (May 2024): 1–11. http://dx.doi.org/10.48295/et.2024.97.6.

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The purpose of this study was to assess the impact of texting while driving on driver performance and road safety. In order to achieve this goal, 51 participants took part in a driving simulator study that replicated an urban environment. During the trials, text messages with questions of equal cognitive weight were sent to be answered via 1) a manual texting application or 2) a voice message application. A baseline condition with no secondary task was also tested. Along the simulated route, there were some events that could cause a crash, like pedestrians crossing on-and-off crosswalks. The o

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Ou, Soobin, Huijin Park, and Jongwoo Lee. "Implementation of an Obstacle Recognition System for the Blind." Applied Sciences 10, no. 1 (2019): 282. http://dx.doi.org/10.3390/app10010282.

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The blind encounter commuting risks, such as failing to recognize and avoid obstacles while walking, but protective support systems are lacking. Acoustic signals at crosswalk lights are activated by button or remote control; however, these signals are difficult to operate and not always available (i.e., broken). Bollards are posts installed for pedestrian safety, but they can create dangerous situations in that the blind cannot see them. Therefore, we proposed an obstacle recognition system to assist the blind in walking safely outdoors; this system can recognize and guide the blind through tw

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Figueroa Jacinto, Rosemarie, and Steve Arndt. "Prevalence of the Use of Mobile Instant Messaging Applications: The Need to Assess Their Usage in Human Factors Investigations." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 62, no. 1 (2018): 406–10. http://dx.doi.org/10.1177/1541931218621093.

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Smartphones have become an essential part of our everyday life. Use of mobile instant messaging applications (e.g., WhatsApp, Messenger, iMessage, Kik, Viber, GroupMe, Telegram, Send, Line, and Snapchat) rather than messaging services from cellular service providers have become very popular among users, far outpacing the use of more traditional text messaging. Initial research revealed that the global usage of these modes of communication far outnumber standard text messaging. These instant messaging apps allow users to perform the same function as traditional communication tools (text, voice

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González-Lorence, Armida, Ángel C. Navarrete-Fernández, Rosana Ayala-Landeros, Juan E. Soto-Osornio, and José G. Ayala-Landeros. "Intelligent Mobility System for Improving the Blind Pedestrian Independent Behavior in Unknown Outdoor Environments." Human Behavior and Emerging Technologies 2022 (September 12, 2022): 1–18. http://dx.doi.org/10.1155/2022/4943457.

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The second cause of disability in Mexico is visual impairment; 26% population is blind. Even though blind people maintain a lower quality’s life than sighted people, there is not enough social interest to develop comprehensive solutions that improve it. Although many voice-activated emerging technologies use artificial intelligence to get human-machine communication through intelligent virtual assistants, such as Alexa, Siri, Google Home, and Cortana, among others, in reality, there have not been developed specific tools just for blind people that help them to improve their independent behavio

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Rehrl, Karl, Elisabeth Häusler, Sven Leitinger, and Daniel Bell. "Pedestrian navigation with augmented reality, voice and digital map: final results from anin situfield study assessing performance and user experience." Journal of Location Based Services 8, no. 2 (2014): 75–96. http://dx.doi.org/10.1080/17489725.2014.946975.

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Huang, Haosheng, Manuela Schmidt, and Georg Gartner. "Spatial Knowledge Acquisition with Mobile Maps, Augmented Reality and Voice in the Context of GPS-based Pedestrian Navigation: Results from a Field Test." Cartography and Geographic Information Science 39, no. 2 (2012): 107–16. http://dx.doi.org/10.1559/15230406392107.

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Gopika, Gopi, Mathews Ashna, T. Ajay Parvathy, and Raghavan Savitha. "Pathfinder for the Visually Impaired People." Journal of Analog and Digital Communications 4, no. 3 (2019): 25–30. https://doi.org/10.5281/zenodo.3563441.

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The paper aims at designing and development of a smart cane which helps in navigation for the visually impaired people. The navigator system designed will detect an object or obstacle using ultrasonic sensors and gives audio instructions for guidance. The proposed navigation system utilizes ultrasonic technology, image processing and voice recognition system for obstacle detection, traffic light sensing and getting audio instructions respectively. Traffic signs recognition is a less studied field and here we are introducing a traffic light recognition system by image processing technique in op

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Pavlenko, T., and V. Ivasenko. "BASIC MEANS OF BARRIER FREE SPACE IN URBAN AGRORECREATIONAL ECO-COMPLEXES." Municipal economy of cities 4, no. 157 (2020): 54–60. http://dx.doi.org/10.33042/2522-1809-2020-4-157-54-60.

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The paper considers the problem of creating a barrier-free space in urban agrorecreational eco-complexes for people with disabilities. Foreign and domestic publications on this and related topics are analyzed. The purpose of the research is set and the main tasks are defined in accordance with the purpose. Materials and research methods are defined in this article. The main terms and concepts are considered: vertical farm, low-mobile population groups, barrier-free envi-ronment, etc. The peculiarities of the criterion of accessibility, the criterion of informativeness, comfort are deter-mined.

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Sayedahmed, Hamdy A. M., Emadeldin M. Elgamal, and Hesham A. Hefny. "Evaluating Latency in Fifth-Generation Vehicle-to-Everything Communications using Adaptive Neuro-Fuzzy Inference System Model." International journal of Computer Networks & Communications 15, no. 3 (2023): 15–34. http://dx.doi.org/10.5121/ijcnc.2023.15302.

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The fifth-generation new radio technology (5G NR) introduces improved functions to the air interface. In addition, the 5G NR non-standalone (NSA) will operate with long-term evolution, enabling vehicle-to-everything communications (V2X) for improved infotainment services. V2X includes four main classes of communications: vehicle-to-vehicle, vehicle-to-infrastructure, vehicle-to-pedestrian devices, and vehicle-to-network. However, the stringent transmission frequency, latency, and throughput requirements of infotainment applications constrain the transmitting packets of 5G-V2X-based NSA in high

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Akhmaeva, L. G. "Changing approaches to interactive marketing communications due to the development of 5G technology." Digital Sociology 4, no. 4 (2022): 92–101. http://dx.doi.org/10.26425/2658-347x-2021-4-4-92-101.

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The process of changing approaches to interactive marketing communications, due to the development of 5G technology – high-speed data transmission over 5G wireless networks has been reviewed. The main facts about 5G technology have been given, the impact of its introduction on consumer behavior, the penetration of augmented and virtual reality technologies into everyday life and the change in the format of marketing communications in the following areas have been considered: retail and delivery of goods, virtual spaces for work and business, mobile cloud gaming and streaming, art, street traff

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Arafat, Md Yasir, Sonot Roy, and Ariful Alam. "Next-Generation Railway Safety: Designing an Automatic Gate System with Voice-Activated Alarms." International Journal of Research In Science & Engineering, no. 41 (December 1, 2023): 1–9. http://dx.doi.org/10.55529/ijrise.41.1.9.

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Railway crossings are high-risk areas that demand constant vigilance and attention to ensure the safety of passengers and other road users. Automatic gate systems have been widely used to mitigate these risks, but their effectiveness is limited by the reliance on visual cues and their inability to alert drivers or pedestrians who are deaf or hard of hearing. To address this limitation, we propose a voice-activated automatic gate railway system that uses voice commands to control the gates and employs an audio alarm to alert road users of the approaching train and will give also alarm who walk

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Arafat, Md Yasir, Sonot Roy, and Ariful Alam. "Next-Generation Railway Safety: Designing an Automatic Gate System with Voice-Activated Alarms." International Journal of Research In Science & Engineering, no. 41 (December 1, 2023): 1–9. http://dx.doi.org/10.55529//ijrise.41.1.9.

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Railway crossings are high-risk areas that demand constant vigilance and attention to ensure the safety of passengers and other road users. Automatic gate systems have been widely used to mitigate these risks, but their effectiveness is limited by the reliance on visual cues and their inability to alert drivers or pedestrians who are deaf or hard of hearing. To address this limitation, we propose a voice-activated automatic gate railway system that uses voice commands to control the gates and employs an audio alarm to alert road users of the approaching train and will give also alarm who walk

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Arafat, Md Yasir, Sonot Roy, and Ariful Alam. "Next-Generation Railway Safety: Designing an Automatic Gate System with Voice-Activated Alarms." International Journal of Research In Science & Engineering, no. 41 (December 1, 2023): 1–9. http://dx.doi.org/10.55529/10.55529/ijrise.41.1.9.

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Railway crossings are high-risk areas that demand constant vigilance and attention to ensure the safety of passengers and other road users. Automatic gate systems have been widely used to mitigate these risks, but their effectiveness is limited by the reliance on visual cues and their inability to alert drivers or pedestrians who are deaf or hard of hearing. To address this limitation, we propose a voice-activated automatic gate railway system that uses voice commands to control the gates and employs an audio alarm to alert road users of the approaching train and will give also alarm who walk

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Mohd Wajid Khan, Zohraan Mohammed Abdul Moqsith, Mohammed Farooq, and Dr. Mohammed Abdul Bari. "Traffic Sign Recognition and Voice Alert System Using CNN for Intelligent Assistance." International Journal of Information Technology and Computer Engineering 13, no. 2s (2025): 59–66. https://doi.org/10.62647/ijitce2025v13i2spp59-66.

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Road signs are crucial for a safe and efficient traffic flow. Negligence in observing and misinterpreting traffic signboards is a key contributor to traffic accidents. The suggested technology aids in the recognition of traffic signs and provides the driver with a voice alarm via the speaker so that prompt decisions can be made. The system uses a Convolutional Neural Network (CNN) for traffic sign recognition and classification in addition to OpenCV for picture processing. To increase the accuracy of recognition, a set of traffic sign classes are established and trained. A voice alarm is produ

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LEE, SANG-WOONG, SEONGHOON KANG, and SEONG-WHAN LEE. "A WALKING GUIDANCE SYSTEM FOR THE VISUALLY IMPAIRED." International Journal of Pattern Recognition and Artificial Intelligence 22, no. 06 (2008): 1171–86. http://dx.doi.org/10.1142/s0218001408006727.

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In this paper, we present a walking guidance system for the visually impaired pedestrians. The system has been designed to help the visually impaired by responding intelligently to various situations that can occur in unrestricted natural outdoor environments when walking and finding the destinations. It involves the main functions of people detection, text recognition, face recognition. In addition, added sophisticated functions of walking path guidance using Differential Global Positioning System, obstacle detection using a stereo camera and voice user, interface are included. In order to op

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Porter, Michelle, Emmanuel Odeyemi, Stephanie Chesser, and Abby King. "A CITIZEN SCIENCE PROJECT ENGAGING NIGERIAN OLDER PERSONS IN A NEIGHBORHOOD ASSESSMENT FOR PHYSICAL ACTIVITY." Innovation in Aging 8, Supplement_1 (2024): 524. https://doi.org/10.1093/geroni/igae098.1714.

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Abstract A main tenet of age-friendly principles is that the voices of older people should be guiding improvements to their communities. The purpose of this collaborative citizen science project was to examine the age-friendliness of a neighborhood in Lagos Nigeria in terms of its characteristics to enable physical activity. Citizen scientists (13 older adults, seven men and six women, 65 to 86 years old) were involved in data collection, analysis, and priority setting. For data collection, they used the Stanford Healthy Neighborhood Discovery Tool application on a tablet to record 156 photos

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Yu, Liang, Zhengkuan Zhang, Yangbing Lai, Yang Zhao, and Fu Mo. "Edge computing-based intelligent monitoring system for manhole cover." Mathematical Biosciences and Engineering 20, no. 10 (2023): 18792–819. http://dx.doi.org/10.3934/mbe.2023833.

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<abstract> <p>Unusual states of manhole covers (MCs), such as being tilted, lost or flooded, can present substantial safety hazards and risks to pedestrians and vehicles on the roadway. Most MCs are still being managed through manual regular inspections and have limited information technology integration. This leads to time-consuming and labor-intensive identification with a lower level of accuracy. In this paper, we propose an edge computing-based intelligent monitoring system for manhole covers (EC-MCIMS). Sensors detect the MC and send status and positioning information via LoRa

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Fernández, César, María Asunción Vicente, Irene Carrillo, Mercedes Guilabert, and José Joaquín Mira. "Factors Influencing the Smartphone Usage Behavior of Pedestrians: Observational Study on “Spanish Smombies”." Journal of Medical Internet Research 22, no. 8 (2020): e19350. http://dx.doi.org/10.2196/19350.

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Background Smartphone addiction has become a reality accepted by all. Some previous studies have shown that the use of smartphones on public roads while walking is very common among the young population. The term “smombie” or smartphone zombie has been coined for this behavior. Such behavior causes a reduction in the attention given to other pedestrians and drivers and may result in accidents or collisions. However, there are no precise data about how many people use the phone while they are walking on the street. Smartphone usage habits are evolving rapidly, and more in-depth information is r

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Fan, Jiwei, Xiaogang Yang, Ruitao Lu, Xueli Xie, and Weipeng Li. "Design and Implementation of Intelligent Inspection and Alarm Flight System for Epidemic Prevention." Drones 5, no. 3 (2021): 68. http://dx.doi.org/10.3390/drones5030068.

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Unmanned aerial vehicles (UAV) and related technologies have played an active role in the prevention and control of novel coronaviruses at home and abroad, especially in epidemic prevention, surveillance, and elimination. However, the existing UAVs have a single function, limited processing capacity, and poor interaction. To overcome these shortcomings, we designed an intelligent anti-epidemic patrol detection and warning flight system, which integrates UAV autonomous navigation, deep learning, intelligent voice, and other technologies. Based on the convolution neural network and deep learning

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WENNBERG, HANNA, JUDITH PHILLIPS, and AGNETA STÅHL. "How older people as pedestrians perceive the outdoor environment – methodological issues derived from studies in two European countries." Ageing and Society 38, no. 12 (2017): 2435–67. http://dx.doi.org/10.1017/s0144686x17000666.

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ABSTRACTThis paper has re-analysed and compared data between three studies conducted in the United Kingdom and in Sweden (the OPUS ‘Older People's Use of Unfamiliar Space’ study in the United Kingdom and the Swedish studies ‘Let's Go for a Walk’ and ‘Walking in Old Age’) to provide a comprehensive account of the issues facing older people in the outdoor environment. All three studies draw on the ‘fit’ between the person and their environment as a guiding conceptual base – capturing the dynamics of the relationship between older people's personal needs and their wider environmental context. Thi

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Wissinger, Leanne M., Joseph E. Hummer, and Joseph S. Milazzo. "Using Focus Groups to Investigate Issues of Red Light Running." Transportation Research Record: Journal of the Transportation Research Board 1734, no. 1 (2000): 38–45. http://dx.doi.org/10.3141/1734-06.

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Red light running (RLR) has been an important issue among transportation officials seeking to make intersections safer for drivers and pedestrians. Many cities in the United States have started programs aimed at reducing the number of red light violations, and many of these programs include the use of automated enforcement utilizing a camera to record violations. Previous research on such enforcement has quantified the rate of its public acceptance through surveys; however, little research has been performed probing the reactions and concerns of the public toward red light cameras. For this st

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S., Manisabari, Nachiappan Adhithiyan N., Rithish Nayagan R., Sivaharish S., and Merlin Sajini M. L. "Enhancing Road Safety and User Experience with Adaptive Object Detection in Car Infotainment Systems." Journal of Trends in Computer Science and Smart Technology 7, no. 1 (2025): 53–66. https://doi.org/10.36548/jtcsst.2025.1.004.

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This study presents an smart vehicle infotainment system designed to enhance driving safety through real-time object detection, depth estimation, and motion tracking. The system utilizes a pre-trained YOLOv9 deep learning model, specifically customized to identify objects such as pedestrians, motorcyclists, and vehicles in the Indian road context. The model is deployed on a Raspberry Pi, enabling low-cost, on-device inference without the need for high-end computing hardware. To determine the object proximity, a stereo vision-based depth estimation technique is implemented, allowing the system

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Teller, Katie, Mark Abbey-Lambertz, Nasira Sharma, Alan Waite, Scott Ickes, and Jason A. Mendoza. "Parent Perceptions on a Walking School Bus Program Among Low-Income Families: A Qualitative Study." Journal of Physical Activity and Health 16, no. 11 (2019): 1047–53. http://dx.doi.org/10.1123/jpah.2018-0637.

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Background: The walking school bus (WSB) is a promising intervention to increase walking to school and physical activity in school-age children. The aim of this qualitative study was to assess parent perceptions of a WSB program that was part of a randomized controlled trial to inform future programs. Methods: The authors interviewed 45 parents whose children had participated in a WSB program in the Seattle area, in which third- and fifth-grade students walked to/from school with adult chaperones along a set route. The authors performed a qualitative analysis of the interview transcripts and c

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Mo, Fu, Liang Yu, Zhengkuan Zhang, and Yang Zhao. "Design and Implementation of Manhole Cover Safety Monitoring System based on Smart Light Pole." Mathematical Problems in Engineering 2022 (August 25, 2022): 1–12. http://dx.doi.org/10.1155/2022/3081649.

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Aiming at the current problems in the safety monitoring of urban manhole covers, this paper proposes a safety monitoring system for manhole covers based on smart light poles. The system uses STM32F103C8T6 as the microcontroller, and processes and controls the movement, loss, tilt, flooding, and positioning data of the manhole cover. Then, the data frame is sent to the LoRa gateway of the nearby smart light pole through the LoRa communication protocol, and the LoRa gateway will transmit the abnormal state of the manhole cover to the large screen display of the smart light pole through the bus.

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Sruthi, Deverakonda, Avanaganti Amulya Reddy, G. Sai Siddaharth Reddy, and Mrs Shilpa Shesham. "Driver Drowsiness Detection System using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 1390–99. http://dx.doi.org/10.22214/ijraset.2023.50345.

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Abstract: These days, an ever-increasing number of professions require long time focus. Drivers should watch out for the street, so they can respond to abrupt occasions right away. Due to driving for a long time or intoxication, drivers might feel sleepy, which is the biggest distraction for them while driving. This distraction might cost the death of the driver and other passengers in the vehicle, and at the same time, it also causes the death of people in the other vehicles and pedestrians too. To prevent such accidents, we propose a system that helps to alert the driver if he/she feels drow

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Hou, Mingyu, Chenzhu Wang, Said M. Easa, and Jianchuan Cheng. "Eye Movement Evaluation of Pedestrians' Mobile Phone Usage at Street Crossings." Transportation Research Record: Journal of the Transportation Research Board, September 15, 2024. http://dx.doi.org/10.1177/03611981241270154.

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Vision is one of the most important human senses, accounting for most of the external information pedestrians receive while crossing the street. However, distracted mobile phone usage during street crossing consumes pedestrians’ cognitive resources and diverts their visual attention. As a result, pedestrians may be unable to fully concentrate on observing the traffic environment and effectively planning their crossing path and behavior. This study evaluated the effect of pedestrian behavioral activities at street crossings on eye-movement (EM) characteristics. The crossing tasks were natural b

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Alfaisaly, Noor Nateq, Suhad Qasim Naeem, and Azhar Hussein Neama. "Enhancement of WiMAX networks using OPNET modeler platform." September 1, 2021. https://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 co

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Lu, Chen-Lung, Zi-Yan Liu, Jui-Te Huang, et al. "Assistive Navigation Using Deep Reinforcement Learning Guiding Robot With UWB/Voice Beacons and Semantic Feedbacks for Blind and Visually Impaired People." Frontiers in Robotics and AI 8 (June 22, 2021). http://dx.doi.org/10.3389/frobt.2021.654132.

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Facilitating navigation in pedestrian environments is critical for enabling people who are blind and visually impaired (BVI) to achieve independent mobility. A deep reinforcement learning (DRL)–based assistive guiding robot with ultrawide-bandwidth (UWB) beacons that can navigate through routes with designated waypoints was designed in this study. Typically, a simultaneous localization and mapping (SLAM) framework is used to estimate the robot pose and navigational goal; however, SLAM frameworks are vulnerable in certain dynamic environments. The proposed navigation method is a learning approa

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Odeyemi, Emmanuel, Stephanie Chesser, Abby C. King, and Michelle M. Porter. "Engaging Nigerian Older Persons in Neighborhood Environment Assessment for Physical Activity Participation: A Citizen Science Project." Innovation in Aging, July 13, 2023. http://dx.doi.org/10.1093/geroni/igad066.

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Abstract Background and Objectives Global organizations are advocating that older persons’ voices should guide communities in age-friendly design. An important aspect of age-friendliness to enable daily function and health is ensuring that physical activity can occur, regardless of age, within local neighborhoods. Research Design and Methods This study used a specific citizen science approach, Our Voice, to engage a sample (N = 13) of older adults (60 or older) in Festac Town, Nigeria. The citizen scientists’ roles were to assess and identify how different aspects of the neighborhood environme

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Barber, Mark, and Justice Tankebe. "Tracking procedural justice in stop and search pedestrian encounters with police body-camera records." Policing: A Journal of Policy and Practice 18 (January 1, 2024). http://dx.doi.org/10.1093/police/paae074.

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Abstract Procedural justice has emerged as a crucial dimension of fairness in policing. It encompasses the extent to which police officers listen to citizens, show care for the well-being of citizens, act with neutrality, and show respect to them. These matters arise during police-citizen interactions, such as police stop and search of citizens. In this study, we draw on a random sample of 150 stop-and-search encounters recorded on police body-worn cameras in a police force in England (UK) to assess police adherence to procedural justice principles. The analysis shows high ratings on voice, ne

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Rodriguez Espinosa, Patricia, Abby C. King, Isela Blanco-Velazquez, et al. "Engaging diverse midlife and older adults in a multilevel participatory physical activity intervention: evaluating impacts using Ripple Effects Mapping." Translational Behavioral Medicine, April 3, 2023. http://dx.doi.org/10.1093/tbm/ibad018.

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Abstract Multilevel interventions are increasingly recommended to increase physical activity (PA) but can present evaluation challenges. Participatory qualitative evaluation methods can complement standard quantitative methods by identifying participant-centered outcomes and potential mechanisms of individual and community-level change. We assessed the feasibility and utility of Ripple Effects Mapping (REM), a novel qualitative method, within the context of a multi-level cluster randomized trial, Steps for Change. Housing sites with ethnically diverse, low-income aging adults were randomized t

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Guevara-Aladino, Paula, Olga L. Sarmiento, María Alejandra Rubio, et al. "Urban Care for Unpaid Caregivers: Community Voices in the Care Block Program, in Bogotá, Colombia." Journal of Urban Health, September 24, 2024. http://dx.doi.org/10.1007/s11524-024-00899-z.

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AbstractThe Care Block of Bogotá, Colombia, is an urban program that offers services for low-income unpaid caregivers. This study aimed to (i) characterize unpaid caregivers’ subjective well-being, mental health symptoms, physical activity levels, and use of public spaces linked to the Care Block; (ii) identify caregivers’ perceived built and social environment facilitators and barriers to accessing the Care Block facility; and (iii) document the community-led advocacy process to improve the Care Block program. The quantitative component included a subjective well-being and mental health sympt

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Y.M., Yogesh, Usha Sree R., and Hushalictmy P. "Traffic Sign Board Recognition and Voice Alert System using CNN." INTI Journal 2024, no. 1 (2024). http://dx.doi.org/10.61453/intij.202408.

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Street to guarantee a secure and efficient flow of traffic. Street accidents sometimes occur on account of carelessness in reading traffic signs incorrectly. The suggested framework aids in recognizing the stop sign and giving a voice warning to the motorist for the speaker to make their point, and crucial decisions. The proposed framework is prepared Using a Convolutional Neural Network (CNN), which aids with the recognition and arranging of rush hour congestion sign pictures. To increase precision, a number are of classes generated and characterized on a particular dataset. Utilized was the

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Prasad, Dr M. "Traffic Sign Board Recognition and Voice Alert System using Convolutional Neural Network." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 07 (2023). http://dx.doi.org/10.55041/ijsrem24711.

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Abstract—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

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Wilken, Rowan. "Walkie-Talkies, Wandering, and Sonic Intimacy." M/C Journal 22, no. 4 (2019). http://dx.doi.org/10.5204/mcj.1581.

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IntroductionThis short article examines contemporary artistic use of walkie-talkies across two projects: Saturday (2002) by Sabrina Raaf and Walk That Sound (2014) by Lukatoyboy. Drawing on Dominic Pettman’s notion of sonic intimacy, I argue that both artists incorporate walkie-talkies as part of their explorations of mediated wandering, and in ways that seek to capture sonic ambiances and intimacies. One thing that is striking about both these works is that they rethink what’s possible with walkie-talkies; both artists use them not just as low-tech, portable devices for one-to-one communicati

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Coward, Sara, and Dean Griggs. "The Bourke Street tragedy: Managing recovery." Journal of Business Continuity & Emergency Planning, March 1, 2019. http://dx.doi.org/10.69554/heam5723.

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On Friday 20th January, 2017, a vehicle struck a number of pedestrians in the vicinity of Bourke and Queen Streets, Melbourne. Six people died as a direct consequence of the incident and more than 30 people were taken to hospital for treatment. The incident had far-reaching consequences for the wider Melbourne community and challenged all agencies involved to develop and deliver recovery efforts unique to the incident. This paper details the perspective of the two lead agencies from the government-led recovery processes. The time period covered is from the occurrence of the incident until the

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