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Journal articles on the topic 'Voice alerts'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Hester, Michelle, Kevin Lee, and Brian P. Dyre. "“Driver Take Over”: A Preliminary Exploration of Driver Trust and Performance in Autonomous Vehicles." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 61, no. 1 (2017): 1969–73. http://dx.doi.org/10.1177/1541931213601971.

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Automated vehicles are becoming more prominent in research and development. These automated vehicles introduce issues that have been seen in other autonomous systems such as decreases in situation awareness, complacency, and trust. Previous literature has looked at the effects of alerts and voice agents on driving performance. This preliminary study compares different in-car alerts (no alert, sound alert, task irrelevant voice alert, and task relevant voice alert) on trust and the driver’s ability to get back in-the-loop when the automation has failed. Participants were asked to monitor a simu

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Jadhav, Atharva. "Traffic Sign Detection and Voice Alert." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 4283–88. http://dx.doi.org/10.22214/ijraset.2023.52651.

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Abstract: The Traffic Sign Detection and Voice Alert is an intelligent system designed to improve road safety by detecting traffic signs andproviding voice alerts to the driver. The project is based on computer vision and machine learning techniques, and it uses a camera to capture real-time images of the road and traffic signs. The system analyzes the images to detect traffic signs, such as speed limit signs, stop signs, and no entry signs, using deep learning algorithms. Once a traffic sign is detected, the system provides a voice alert to the driver, informing them of the sign's message. Th

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Lidestam, Björn, Philip Lindblad, Petr Ondomiši, Emilia Sörengård, and Kajsa Weibull. "Augmented emergency lighting as a soft early warning: measures on road users when moving over." Acta Polytechnica CTU Proceedings 51 (December 17, 2024): 36–41. https://doi.org/10.14311/app.2024.51.0036.

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A novel interface to provide robust, intuitive, and timely alerts to road users to move over for emergency vehicles (EVs) was tested in a seven-minute driving-simulator experiment. The interface, Augmented Emergency Lighting (AEL), mimics emergency lighting on emergency vehicles (i.e., flashing blue light), by using the cars’ interior lighting. AEL was initiated 30 seconds before an EV caught up and increased its brightness proportionally to the distance to the EV. The AEL alert was after 16 seconds accompanied by an Emergency Vehicle Approaching (EVA) alert, presented as a voice command and a

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Alekhya, Nette. "INTELLIGENT ULTRASONIC DETECTION OF WALKING STICKS FOR THE BLIND." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem45300.

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Abstract - Visually impaired individuals face significant challenges in navigating their surroundings independently and safely. This project presents the design and implementation of an intelligent walking stick equipped with ultrasonic sensors, a voice assistance module, and a water detection unit. The system is developed to provide real-time alerts to the user using vibrations and voice feedback when obstacles or wet surfaces are detected. Additionally, it incorporates a medicine reminder feature and an emergency alert mechanism through voice prompts, enhancing both daily usability and criti

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Nerella, Ome, Syed Musthak Ahmed, and Praveen Balakrishnan. "Experimental Evaluation of Lightning and Weather Alert Methods in Rural India using LoRa and IoT Technology with Nanosensors." Journal of Nanomaterials 2023 (April 21, 2023): 1–18. http://dx.doi.org/10.1155/2023/7734847.

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Every year, ∼2,000 people are killed by lightning in India, with rural areas accounting for 94% of all lightning deaths. In rural locations, a weather and lightning alert system is crucial for alerting and raising awareness about severe weather and lightning. Only a few states in India have expensive lightning alert systems that send out alerts via SMS and mobile apps. Due to a lack of information about weather alert apps, poor network facility, low literacy, and less usage of smartphones, existing alert mechanisms is not reaching all rural populations. As a result, there is a need to build a

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Cooper, Molly, Yair Levy, Ling Wang, and Laurie Dringus. "Subject matter experts’ feedback on a prototype development of an audio, visual, and haptic phishing email alert system." Online Journal of Applied Knowledge Management 8, no. 2 (2020): 107–21. http://dx.doi.org/10.36965/ojakm.2020.8(2)107-121.

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Phishing emails, also defined as email spam messages, present a threat to both personal and organizational data loss. About 93% of cybersecurity incidents are due to phishing and/or social engineering. Users are continuing to click on phishing links in emails even after phishing awareness training. Thus, it appears that there is a strong need for creative ways to alert and warn users to signs of phishing in emails. ‘System 2 Thinking Mode’ (S2) describes an individual in a more aware state of mind when making important decisions. Ways to trigger S2 include audio alerts, visual alerts, and hapt

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Perera, S., D. A. Nace, C. M. Culley, S. M. Handler, and R. D. Boyce. "A Survey of Nursing Home Physicians to Determine Laboratory Monitoring Adverse Drug Event Alert Preferences." Applied Clinical Informatics 05, no. 04 (2014): 895–906. http://dx.doi.org/10.4338/aci-2014-06-ra-0053.

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SummaryObjective: We conducted a survey of nursing home physicians to learn about (1) the laboratory value thresholds that clinical event monitors should use to generate alerts about potential adverse drug events (ADEs); (2) the specific information to be included in the alerts; and (3) the communication modality that should be used for communicating them.Methods: Nursing home physician attendees of the 2010 Conference of AMDA: The Society for Post-Acute and Long-Term Care Medicine.Results: A total of 800 surveys were distributed; 565 completed surveys were returned and seven surveys were excl

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Koo, Jeamin, Dongjun Shin, Martin Steinert, and Larry Leifer. "Understanding driver responses to voice alerts of autonomous car operations." International Journal of Vehicle Design 70, no. 4 (2016): 377. http://dx.doi.org/10.1504/ijvd.2016.076740.

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Shruti Mallikarjun. "Smart Mobility Assistant for the Visually Impaired: Integrating Machine Learning and Sensor Technology." Journal of Information Systems Engineering and Management 10, no. 44s (2025): 1069–80. https://doi.org/10.52783/jisem.v10i44s.8702.

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Facilitating the safety and autonomy of visually impaired persons in traversing their environments is an essential goal. This work presents the development of a comprehensive assistive kit that leverages Raspberry Pi technology to empower visually impaired users. The kit integrates ultrasonic sensors for obstacle detection, machine-learning models for object recognition, voice alerts, facial recognition for person identification, and indoor localization using RSSI (Received Signal Strength Indicator) modules. The core functionality of the system lies in real-time environmental monitoring throu

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Chacko, Renit, Revathy Sathyan, Risa Moncy, Sona Mariyam Shajee, and Ms Kavitha .S. "Intelligent Assistive Cane for Visually Impaired." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43562.

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The creation of an Intelligent Assistive Cane to improve the safety and mobility of people with vision impairments is presented in this paper. To provide real-time obstacle identification and navigation guidance, the cane combines a number of state-of-the-art technologies, such as ultrasonic sensors, a buzzer, voice aid, and a vibration motor. To identify impediments within a certain range, ultrasonic sensors are positioned strategically on the cane. The buzzer emits an audible alert upon detection, and the vibration motor provides haptic feedback to direct the user toward safe routes. Voice h

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Aman, Pawar. "IoT-Based Smart Security System for Women Using Sensor Fusion and Multimedia Capture." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem46360.

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Abstract - In an era where women’s safety remains a pressing concern, particularly during solo travel, innovative solutions are imperative. This paper introduces an IoT-based smart security system designed to enhance personal safety through real-time monitoring and automated distress response. The proposed system integrates a heart rate sensor, camera, microphone, and IoT communication module embedded in a wearable system, controlled via a desktop application. The system detects distress through elevated heart rates, manual button presses, or voice commands, triggering image/audio capture and

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Lee, Seung Hee, and Won Jun Son. "A study on Visual Feedback of Voice Information in AI Speakers." Korea Institute of Design Research Society 10, no. 1 (2025): 455–73. https://doi.org/10.46248/kidrs.2025.1.455.

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This study enhances AI speaker user experience by integrating voice information with visual feedback. It analyzes shapes, motion, and sound waves to optimize feedback for different information types. Findings show ‘Starry’ motion suits urgent alerts, ‘Spin’ motion fits everyday interactions, and ‘Fade Out’ motion is best for functional information. The study examines the impact of visual feedback on information delivery and proposes an optimized design. It suggests new directions for multimodal interface design, contributing to AI speaker and voice-based system development.

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Chikwetu, Lucy, Shaundra Daily, Bobak J. Mortazavi, and Jessilyn Dunn. "Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study." JMIR Formative Research 7 (May 16, 2023): e46659. http://dx.doi.org/10.2196/46659.

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Background Effective monitoring of dietary habits is critical for promoting healthy lifestyles and preventing or delaying the onset and progression of diet-related diseases, such as type 2 diabetes. Recent advances in speech recognition technologies and natural language processing present new possibilities for automated diet capture; however, further exploration is necessary to assess the usability and acceptability of such technologies for diet logging. Objective This study explores the usability and acceptability of speech recognition technologies and natural language processing for automate

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Sklirou, Theofani S., Areti Andreopoulou, Anastasia Georgaki, and Nikolaos D. Tselikas. "Introducing Secondary Education Students to Programming through Sound Alerts." European Journal of Engineering Research and Science 5, no. 12 (2020): 130–39. http://dx.doi.org/10.24018/ejers.2020.5.12.2298.

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It is considered hard to teach programming in secondary education while achieving the aims of curriculum. However, when teaching is supported by suitable methodologies, learning can be ameliorated. Under this premise, this paper discusses different teaching approaches to programming in secondary education and examines the potential benefit of sound-alerts as a complementary teaching tool. Such alerts were created by pairing different sound stimuli to specific programming actions and operations. Both the selection of the sound stimuli, as well as the potential impact of the use of sound alerts

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Sklirou, Theofani S., Areti Andreopoulou, Anastasia Georgaki, and Nikolaos D. Tselikas. "Introducing Secondary Education Students to Programming through Sound Alerts." European Journal of Engineering and Technology Research 5, no. 12 (2020): 130–39. http://dx.doi.org/10.24018/ejeng.2020.5.12.2298.

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It is considered hard to teach programming in secondary education while achieving the aims of curriculum. However, when teaching is supported by suitable methodologies, learning can be ameliorated. Under this premise, this paper discusses different teaching approaches to programming in secondary education and examines the potential benefit of sound-alerts as a complementary teaching tool. Such alerts were created by pairing different sound stimuli to specific programming actions and operations. Both the selection of the sound stimuli, as well as the potential impact of the use of sound alerts

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Chandni, Asvitha Thumma* Shravya Amarnath Hanna Philipose Gayathri. P. "LOCATION BASED NAVIGATION AND OBSTACLE DETECTION SYSTEM WITH VOICE ALERTS FOR BLIND." Global Journal of Engineering Science and Research Management 4, no. 6 (2017): 19–27. https://doi.org/10.5281/zenodo.805435.

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In the present scenario, a blind person is compelled to rely on another person and cannot travel independently to any place without the help of others. This project aims to develop a smart stick for the visually impaired people. The smart stick will include a GPS/GSM system and obstacle detection mechanism. The GPS system is used by the user to know the current location and also to notify his friend or relative about the current location. This could result in a better movement of the user. A voice module will be attached so that the stick can alert the user about the obstacles and the current

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Sinha, Akash Kumar. "Women Security Application Using Smart Emergency Response System and Real-Time Location Tracking." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–9. https://doi.org/10.55041/isjem02842.

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The increasing number of crimes against women, especially in urban and semi-urban regions, has raised serious concerns about personal safety and immediate access to help during emergencies. While numerous safety apps exist, many fall short in terms of usability, responsiveness, and real-time assistance. This paper presents the design and development of a mobile-based Women Security Application aimed at providing quick, reliable, and intelligent emergency support in threatening situations. The core idea behind the application is to ensure that women in distress can seek help effortlessly, even

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Hong, Huihui, and Zuozi Chen. "Wall Climbing Robot for High-Altitude Steel Frame Inspection." Frontiers in Computing and Intelligent Systems 12, no. 3 (2025): 12–15. https://doi.org/10.54097/k7t2cj57.

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We present a wall-climbing robot based on microcontroller technology, designed to assist or replace human workers in hazardous maintenance tasks. The platform integrates modular components including an ESP32 module, real-time video monitoring, voice broadcast, and SK-3000 eddy current sensors. Operated via 2.4 GHz GPS2 remote control or autonomous navigation, it detects surface cracks and paint degradation on metal structures. Upon defect detection, the system triggers audible alerts through its voice module. This solution eliminates safety risks associated with high-altitude operations, reduc

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Vijaya, Kumar Chavan, Chavan Madhuri, Thulasi Chavan Naga, and Bharathi Y. "Advanced Nano Technical Medical Intimation with Voice Alerts by Using Nano Materials." Journal of Nanotechnology and Nano-Engineering 5, no. 1 (2019): 1–7. https://doi.org/10.5281/zenodo.2532113.

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So as to maintain a strategic distance from restorative issues, a programmable prescription leftover portion framework is produced for reminding individuals who neglect to take as much time as necessary. This will remind the patient to take his/her medication at recommended time. The proposed framework is most appropriate for elderly individuals and individuals who are extremely occupied, as this gadget won't just help them to remember their meds with a bell sound yet in addition shows the name of the medication to be taken around then with legitimate measurements.

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Roa, R. Panduranga. "ACCIDENT ANALYSIS USING IOT." International Scientific Journal of Engineering and Management 04, no. 05 (2025): 1–7. https://doi.org/10.55041/isjem03487.

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Abstract—This project aims to develop an intelligent accident analysis system using IoT technology to improve road safety and emergency response. The system is designed to detect accidents in real-time, monitor key driving conditions, and automatically send alerts to emergency contacts along with the location of the incident. It also records voice data after an accident, serving as a basic black box for post-event analysis. In addition to accident detection, the system tracks driving behaviour and environmental factors, displaying relevant information on a screen for the driver and uploading d

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Yakubu, Osman, and Emmanuel Wireko. "Internet of things based vital signs monitoring system: A prototype validity test." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (2021): 962. http://dx.doi.org/10.11591/ijeecs.v23.i2.pp962-972.

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The advent of the internet of things (IoT) has resulted in an upsurge in the deployment of digital health care systems enabling patients’ health conditions to be remotely monitored. This article presents an intelligent and automated IoT-based vital signs monitoring system to aid in patient care. A the oretical framework was established to guide the development of a prototype. It encompasses the patient, IoT sensors, input and storage unit and data processing, analysis and data transmission. The prototype is equipped with the capability of sensing a patient’s body temperature, heart rate, and r

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Yakubu, Osman, and Emmanuel Wereko. "Internet of things based vital signs monitoring system: A prototype validity test." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 2 (2021): 962–72. https://doi.org/10.11591/ijeecs.v23.i2.pp962-972.

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The advent of the internet of things (IoT) has resulted in an upsurge in the deployment of digital healthcare systems enabling patients’ health conditions to be remotely monitored. This article presents an intelligent and automated IoT-based vital signs monitoring system to aid in patient care. A theoretical framework was established to guide the development of a prototype. It encompasses the patient, IoT sensors, input and storage unit, and data processing, analysis and data transmission. The prototype is equipped with the capability of sensing a patient’s body temperature, heart

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M, Manoj Prabu. "IoT Based Wheelchair for Disabled Persons." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 3535–40. https://doi.org/10.22214/ijraset.2025.70912.

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Abstract: This project presents the development of an IoT-based wheelchair designed to enhance mobility, safety, and independence for individuals with disabilities. The integration of Internet of Things (IoT) technologies allows for real-time monitoring and control of the wheelchair’s functions, making it smarter, more efficient, and user-friendly. Key features include GPS tracking, health monitoring, automatic obstacle detection, voice and mobile control, and smart home integration, all aimed at improving the user’s quality of life.The wheelchair is equipped with sensors that monitor the user

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C S, Shriram, Sanjay G, and Deepika N. "Obstacle Avoidance for blind people using Yolo algorithm, Darknet and GTTS." ITM Web of Conferences 56 (2023): 05010. http://dx.doi.org/10.1051/itmconf/20235605010.

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The obstacle avoidance system uses a YOLO model to detect obstacles in real-time and provide spatial information about their location and size. This information is then passed to the GTTS system, which generates audio alerts to notify the user of the presence of an obstacle and its location. The audio alerts are generated in a natural-sounding voice to provide the user with clear and concise information. To evaluate the effectiveness of our proposed system, we conducted experiments with visually impaired individuals in real-world scenarios. The results show that our system can significantly im

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Babu, Dr M. Y., Akash Jatavath, G. Yashwanth Kumar Reddy, and Pittala Arun Kumar. "Object Detection System with Voice Alert for Blind." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 707–11. http://dx.doi.org/10.22214/ijraset.2023.49107.

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Abstract: As we can see, there are numerous blind persons nearby who encounter various challenges, such as difficulty in crossing roads and identifying objects in their environment. With the advancement in technology in several fields, human life is evolving to better standards. Unfortunately, those who are blind are unable to fully enjoy this kind of lifestyle. So, this project is one strategy for introducing blind individuals to a new way of living that makes them independent on others. The major goal of this project is to create a deep-learning algorithm that can be used to analyse the envi

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Asiri, Saeed. "Active Treatment of Water Chemistry for Swimming Pools Using Novel Automated System (NAS)." Bioinorganic Chemistry and Applications 2022 (May 17, 2022): 1–10. http://dx.doi.org/10.1155/2022/5210225.

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The Novel Automated System (NAS) has the control system of the level of chlorine and acid (i.e., pH level) through a feedback in three forms of synchronous alerts. The feedback is in the form of an alert voice, a visible color, and a message on a digital screen. In addition, NAS contains a slide-in container in which chemicals are used to treat the problems of chlorine and acid levels independently. Moreover, NAS has a net in front of it to clean the pool on the surface of the water from leaves and wastes and so on which is controlled through a remote control. The material used is a lightweigh

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Sumra, Mehreen, Sohail Asghar, Khalid S. Khan, Juan M. Fernández-Luna, Juan F. Huete, and Aurora Bueno-Cavanillas. "Smartphone Apps for Domestic Violence Prevention: A Systematic Review." International Journal of Environmental Research and Public Health 20, no. 7 (2023): 5246. http://dx.doi.org/10.3390/ijerph20075246.

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Smartphone applications or apps are increasingly being produced to help with protection against the risk of domestic violence. There is a need to formally evaluate their features. Objective: This study systematically reviewed app-based interventions for domestic violence prevention, which will be helpful for app developers. Methods: We overviewed all apps concerning domestic violence awareness and prevention without language restrictions, collating information about features and limitations. We conducted searches in Google, the Google Play Store, and the App Store (iOS) covering a 10-year time

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A. Praveena, Gorla Sneha Tejaswini, Hari Krishnan M, Battina Sudeeshna, and Challa Vineel Krishna. "Safety Detection System using Sound." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 11, no. 2 (2025): 3022–26. https://doi.org/10.32628/cseit25112766.

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The project aims to develop an innovative women's safety system integrating voice analysis, IoT, and machine learning to efficiently detect emergency situations. A comprehensive solution is proposed, utilizing PySound for speech-to-text conversion and machine learning algorithms to identify emergency words. Integration with IoT devices like Node MCU facilitates seamless data transfer, while location tracking using GPS or Wi-Fi ensures accurate emergency response. Live streaming capabilities during emergencies, coupled with stringent security measures, enhance user safety. Realtime alerts to pr

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Chitturi, Sugunalatha. "Intelligent Child Safety System: Facial Recognition for Missing Child Identification with Real-time Email Alerts to Authorities." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 94–105. https://doi.org/10.22214/ijraset.2025.70115.

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Abstract: Intelligent Child Safety System uses live video monitoring, face recognition, and automated email notifications for rapid child-abduction response. Ongoing feeds are monitored, and a constantly updating database has continuously comparesa number of the children with Dlib's CNN and HOG-based detection methods, combined with another model based on VGG's CNN model for great results in even low-light, obscured faces and varied angles of facial positions. An instant alert is sent by email to law enforcement agencies, child-care agencies, and relevant bodies with an accompanying captured f

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Ramesh, Dr M. R. Raja, P. Mamatha, P. Viswanadha Pavan Varma, S. Wasim Akram, and T. Chandu. "Harnessing Deep Learning for Video Based Weapon Detection." Journal of Artificial Intelligence, Machine Learning and Neural Network, no. 45 (August 3, 2024): 30–40. http://dx.doi.org/10.55529/jaimlnn.45.30.40.

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This research addresses the escalating global issue of handgun-related crimes by proposing an innovative Intelligent Video Surveillance System (IVSS) that leverages advanced deep learning (DL) techniques for remote firearm detection and timely threat response. The system employs Convolutional Neural Networks (CNN) and the YOLO v3 model, uniquely integrating Transfer Learning (TL) to enhance adaptability and efficacy. Experimental validation using the Internet Movie Firearms Database (IMFDB) demonstrates the system's versatility in detecting various pistols and guns, achieving promising results

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Toshiaki, Tanaka, and Miura Takahiro. "Effects of postural control by personal mobility on human joint movements-prototype of a new alert system for personal mobility devices." Annals of Musculoskeletal Medicine 8, no. 1 (2024): 001–5. http://dx.doi.org/10.17352/amm.000034.

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Purpose: This study aimed to develop a prototype Personal Mobility (PM) system with human-robot synchronous motion measurement and sensory feedback as an attention reminder to ensure the safe performance of sustained, step-by-step rehabilitation tailored to the daily living conditions of elderly individuals. Methods: Five healthy adults were fitted with a simulation tool to experience the elderly, and inertial measurement unit sensors were placed on the subjects and the PM device to measure joint movements during two postural movements (sitting to supine and supine to standing). In addition, v

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Priya, Dr R. "Safe Alert App." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5446–51. https://doi.org/10.22214/ijraset.2025.69468.

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Human safety in various environments is a growing concern, and ensuring timely alerts to guardians or authorities can play a vital role in preventing harm. This project introduces an intelligent application that integrates Real-Time Monitoring to analyze human emotions and detect potential threats based on environmental events. The system evaluates emotional states by analyzing voice inputs using Sentiment Analysis Machine Learning techniques. In addition, a Prediction Algorithm is employed to assess the network signal and predict disconnection or movement patterns. Upon detecting abnormal eve

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Meenatchi S, Saraswathi B, and Krishnakumar S. "SYSTEMIC REVIEW ON VOICE ACTUATED SMART HOPITAL BED." international journal of engineering technology and management sciences 7, no. 6 (2023): 200–206. http://dx.doi.org/10.46647/ijetms.2023.v07i06.031.

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During the 20th century, medical beds underwent technological advancements, especially making them smarter in patient care. The past fifteen years have brought various changes in the concept of smart bed technology, but no definitive evidence of the project's existence has been presented. These and previous systems typically use at least one push button or pressure-sensitive type switch to implement various control and articulation capabilities. Smart beds are designed to assist patients with mobility issue as it will allow them to control bed movement by themself and help them return to norma

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G.D,, GOPIKAA. "Open CV Based a Rehabilitation Gaze Quadratic Tracking Movement Using Ear Algorithm." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42316.

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Locked-in syndrome severely restricts voluntary muscle movement, leaving patients unable to communicate except through eye movements. Traditional assistive communication devices are often expensive, complex, and require specialized training, making them less accessible for many patients. This project aims to bridge that gap by developing an affordable and user-friendly gaze-tracking system that enables communication through eye movements. Using a camera positioned at eye level, the system continuously tracks the user’s gaze in real time with the integration of Python, OpenCV, and Dlib. The Eye

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M, Rikkash. "AI ChatBot for Cybersecurity with Text to Voice Assistant." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 2313–19. https://doi.org/10.22214/ijraset.2025.68453.

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The AI Chatbot for Cybersecurity with Text-to-Voice Assistant is an advanced system designed to provide real-time cybersecurity guidance and threat analysis for both professionals and general users. Utilizing cutting-edge Neural Network architectures and Natural Language Processing (NLP) techniques, the chatbot interprets and responds to cybersecurity-related queries with high accuracy. The system is deployed using the Django framework, ensuring a secure and scalable web-based interface. A key feature is its text-to-voice assistant, which enhances accessibility by allowing users to interact vi

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Kalli, Mr Vinod S. "A Review on Smart Helmet for Enhance Safety." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 116–19. https://doi.org/10.22214/ijraset.2024.65719.

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Smart helmet technology integrates advanced sensors, communication systems, and real-time processing capabilities to enhance safety for motorcyclists. This innovative system is designed to detect accidents and provide immediate emergency response. Equipped with sensors such as accelerometer, gyroscopes, and GPS modules, the helmet continuously monitors motion, impact, and location. In the event of an accident, the system automatically identifies the severity of the impact and triggers alerts. A real-time notification, including the rider’s location, is sent to emergency services or per-defined

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Navale, Dr Mahesh. "RescueNow: Real-time SOS and Predictive Women's Safety System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 10 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem38086.

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This paper presents a comprehensive women’s safety application designed to address the growing concerns of personal safety through technological intervention. The system integrates multiple advanced features such as real-time SOS alerts, geofencing to detect high-risk areas, AI-driven crime predictions, and multiple SOS activation methods, including voice commands, shake detection, and button press. Additionally, the app employs silent recording functionality to gather evidence in distress situations and incorporates secure communication channels for contacting law enforcement. The application

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Hassain, Md Mehedi, Abdur Rahman, Md Nayem Ibna Harun, Md Ariful Islam Emon, and Md Taiseer Alam. "Voice Activated Medicine Reminder Box with IoT Health Monitoring for Old People and Hospital." European Journal of Engineering and Technology Research 10, no. 2 (2025): 22–30. https://doi.org/10.24018/ejeng.2025.10.2.3252.

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Our innovative IoT enabled Smart Medicine Box, designed to revolutionize medication management and health monitoring. With features including real time medication reminders, personalized dosage schedules, and mealtime alerts, our system ensures safety, efficacy, and security. This research comprises a combination of components such as the Arduino Nano, Wi Fi Module, and various sensors including Temperature, Pulse oximeter and Accelerometer. Our research offers seamless integration and accurate data collection. By wirelessly transmitting sensor data to the cloud, it enables continuous health m

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Epifanov, Evgeniy, Viktor Asminin, and Svetlana Sazonova. "System analysis of acoustic properties of voice sirens." Modeling of systems and processes 17, no. 4 (2024): 42–53. https://doi.org/10.12737/2219-0767-2024-17-4-42-53.

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The acoustic properties of fire alarm systems are considered. The analysis and correction of the existing system of classification of fire alarm systems has been carried out. Shortcomings have been identified in the requirements for fire safety monitoring for voice alerts and for the certification testing procedure for fire-fighting voice alarms. The completeness of linguistic information, which is the basic standard for the required completeness of information for evacuees in case of fire, is analyzed. The structure of the sound field in the room is considered, taking into account interferenc

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CH Laxmana Sudheer, CH Susmitha, R Vishal, G Durga Prasad, B Sivakumar, and C Girish Kumar. "Sign Recognition and Voice Conversion Device for Dumb." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 3 (2024): 01–09. http://dx.doi.org/10.32628/cseit24102130.

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This project proposes a comprehensive hardware setup for home automation and environmental monitoring. The system includes components such as a Bluetooth module for remote control, a voice module (APR9600) for audio feedback, an LCD for display purposes, relay modules for controlling electrical devices, bulbs with holders for lighting, a CPU fan for temperature regulation, speakers for audio output, and a 5V power supply for operation. The core functionality of the system revolves around the integration of flux sensors for environmental monitoring. When flux sensors detect specific conditions,

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Shinde, Prof Vidya. "PathFinder: A Smart Mobility Solution for the Visually Challenged." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem49259.

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Abstract - This project presents a smart stick that helps visually impaired users navigate safely using real-time object detection and audio feedback. It uses the YOLO algorithm to quickly identify obstacles and informs the user through voice alerts. The system addresses challenges like low-light conditions and processing speed, with suggestions for future improvements such as better sensors and advanced detection models. The goal is to offer a reliable, user-friendly tool that enhances mobility and independence. Key Words: Yolo algorithm; Real-time audio feedback; Mobility aid; Computer visio

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Mishra, Chandan. "WOMEN HAWK." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47950.

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Women’s safety remains a critical social issue worldwide, demanding innovative and proactive technological solutions. This research (i.e. Women Hawk) presents the design and development of a women safety application leveraging Internet of Things (IoT) devices to enhance personal security and provide rapid emergency response. The proposed system integrates wearable sensors (such as GPS) with a mobile application to detect distress signals through physiological and behavioral data. Upon identifying abnormal patterns—such as sudden changes in location, elevated heart rate, or abrupt movements—the

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Vivek Chakaravarthi, G. C., B. R. Sathish Kumar, and R. P. Ramesh. "MAB-I (Mobility Assistant for Blind)." Applied Mechanics and Materials 446-447 (November 2013): 1178–82. http://dx.doi.org/10.4028/www.scientific.net/amm.446-447.1178.

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The anxiety of the humans to eradicate the difficulties of people landed up in the technological advancements. But the present scenario in India shows that navigation of blind people is a difficult task. The blind people have been using sticks and dogs for their navigation for the past decades. To make them autonomous in their mobility we put forward our idea over the existence of voice commands (IVRS).Two issues have been discussed in this paper. (i)Their navigation has been instructed by the prodigious vibroactuators which could make their mobility in a glib way [1]. The vibrations sensed th

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Volkov, Andrey Anatol’evich, and Sergey Vladimirovich Antonov. "Elements of automation of distance emergency alerts from persons with disabilities." Vestnik MGSU, no. 11 (November 2015): 120–29. http://dx.doi.org/10.22227/1997-0935.2015.11.120-129.

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At the present time the system of “Smart house” allows passing messages on any type of emergencies only out loud (phone call), though some individuals with disabilities will not be able to report an accident. Moreover, the pall showed, that 55 % of respondents would prefer sending text message on fire or other emergency to operations control duty desk. The respondents of this group feel it’s easier to make a photo or video of the accident. Though it is still impossible to analyze the data received in this form and make decisions automatically. In the conditions of yearly increase of the number

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Begum, Shaik Salma, Adilakshmi Yannam, T. Nageswara Rao, et al. "Protecting Girls from Harassment and Fraudulent Calls: A Voice-to-Text Approach." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 8s (2023): 639–43. http://dx.doi.org/10.17762/ijritcc.v11i8s.7250.

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The rise in harassment calls and fraud, particularly targeting girls, has resulted in adverse consequences including psychological distress and, in extreme cases, suicide. Furthermore, fraudulent calls urging individuals to click on malicious links have led to substantial financial losses. This study presents a comprehensive approach to address this challenge for the development of an innovative detection system. Additionally, we introduce a novel prototype that employs a voice-to-text approach to transcribe phone calls, utilizing Natural Language Processing (NLP) techniques as well as Machine

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Hariharan S., Abinaya A., Anjuga V., and Bhuvaneshwari V. "Voice Controlled Wheelchair for Physically Disabled People and Blind People." Asian Journal of Applied Science and Technology 09, no. 01 (2025): 21–28. https://doi.org/10.38177/ajast.2025.9103.

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The work focuses on developing an innovative mobility solution that enhances independence and accessibility for individuals with physical and visual impairments. The proposed voice-controlled wheelchair is equipped with state-of-the-art speech recognition technology, enabling users to issue simple voice commands such as “forward,” “backward,” “left,” “right,” and “stop” to control its movements. The system incorporates a robust microphone array and noise-cancellation algorithms to ensure accurate voice recognition in diverse environments, including noisy settings. For blind users, the wheelcha

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Espín López, Juan Manuel, Alberto Huertas Celdrán, Javier G. Marín-Blázquez, Francisco Esquembre, and Gregorio Martínez Pérez. "S3: An AI-Enabled User Continuous Authentication for Smartphones Based on Sensors, Statistics and Speaker Information." Sensors 21, no. 11 (2021): 3765. http://dx.doi.org/10.3390/s21113765.

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Continuous authentication systems have been proposed as a promising solution to authenticate users in smartphones in a non-intrusive way. However, current systems have important weaknesses related to the amount of data or time needed to build precise user profiles, together with high rates of false alerts. Voice is a powerful dimension for identifying subjects but its suitability and importance have not been deeply analyzed regarding its inclusion in continuous authentication systems. This work presents the S3 platform, an artificial intelligence-enabled continuous authentication system that c

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Firame, Swati, Kartik Jagtap, Chinmay Shendkar, Swapnil Dahiphale, and Shubham Sankapal. "Traffic Sign Detection." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 3438–40. http://dx.doi.org/10.22214/ijraset.2023.50966.

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Abstract: Traffic signs are important to ensure smooth traffic flow without bottle necks or mishaps. Road Symbols are the pictorial representation having different necessary information required to be understood by driver. Road signs in front of the vehicle are ignored by the drivers and this can lead to catastrophic accidents. This paper presents an overview of the traffic sign board detection and recognition and implements a procedure to extract the road sign from a natural complex image, processes it and it alerts the driver using text or voice command. It is implemented in such a way that

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Wei, Jinwu, Zhenning Sun, and Hanyu Chen. "Optimization of human-machine interface for fatigue driving problem." Applied and Computational Engineering 36, no. 1 (2024): 64–76. http://dx.doi.org/10.54254/2755-2721/36/20230424.

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Amidst rapid motorization, the surge in serious traffic accidents has raised concerns about the significant contribution of fatigued driving to road safety. However, the current vehicle-machine interface for fatigue driving reminder is relatively simplistic and plays a weak role. This study aims to optimize the functionality of traditional in-vehicle HMIs by exploring the key factors of human-computer interaction (HCI) and developing targeted user interfaces to effectively alert and reduce driver fatigue. A quantitative analysis based on previous experimental data is conducted to model the cor

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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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