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Journal articles on the topic 'Hands-free system'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Suhami, Avraham, and Shmuel Suhami. "Two‐line, hands‐free telephone system." Journal of the Acoustical Society of America 95, no. 3 (1994): 1702. http://dx.doi.org/10.1121/1.408532.

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2

Shang, Qing Hua, and Ping Liu. "Bluetooth Hands Free System for Fixed Telephone Research." Applied Mechanics and Materials 198-199 (September 2012): 1603–8. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1603.

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Wireless technology has walked into the People's Daily life, Bluetooth technology comes to the fore in so many wireless technologies with its low power consumption, low cost and other characteristics. Bluetooth technology is used widely, we can see it in mobile phones or in our cars, it seems that Bluetooth technology has penetrated into every aspect of our lives. Even so, the combination of Bluetooth technology and fixed telephone still has a very big development space. If the stability of the fixed telephone combined with the flexible of Bluetooth technology, it will give the life of people

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3

Abdul-Niby, M., M. Alameen, O. Irscheid, M. Baidoun, and H. Mourtada. "A Hands-Free Obstacle Detection and Avoidance System." Engineering, Technology & Applied Science Research 5, no. 3 (2015): 801–4. http://dx.doi.org/10.48084/etasr.562.

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In this paper, we present a low cost hands-free detection and avoidance system designed to provide mobility assistance for visually impaired people. An ultrasonic sensor is attached to the jacket of the user and detects the obstacles in front. The information obtained is transferred to the user through audio messages and also by a vibration. The range of the detection is user-defined. A text-to-speech module is employed for the voice signal. The proposed obstacle avoidance device is cost effective, easy to use and easily upgraded.

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4

Khare, Rahul, Rebecca Bascom, and William E. Higgins. "Hands-Free System for Bronchoscopy Planning and Guidance." IEEE Transactions on Biomedical Engineering 62, no. 12 (2015): 2794–811. http://dx.doi.org/10.1109/tbme.2015.2401514.

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5

Hildebrand, David G. C., Daniel P. Knudsen, Gary W. Hesse, and James R. Stellar. "A flexible system for hands-free intracranial microinjection." Journal of Neuroscience Methods 185, no. 1 (2009): 62–65. http://dx.doi.org/10.1016/j.jneumeth.2009.09.011.

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6

., Akparibo Richard Awingot. "DEVELOPMENT OF A HANDS FREE URINAL FLUSHING SYSTEM." International Journal of Research in Engineering and Technology 04, no. 08 (2015): 279–85. http://dx.doi.org/10.15623/ijret.2015.0408048.

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7

Abdul-Niby, M., M. Alameen, Irscheid O., Baidoun M., and Mourtada H. "A Hands-Free Obstacle Detection and Avoidance System." Engineering, Technology & Applied Science Research 5, no. 3 (2015): 801–4. https://doi.org/10.5281/zenodo.18802.

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In this paper, we present a low cost hands-free detection and avoidance system designed to provide mobility assistance for visually impaired people. An ultrasonic sensor is attached to the jacket of the user and detects the obstacles in front. The information obtained is transferred to the user through audio messages and also by a vibration. The range of the detection is user-defined. A text-to-speech module is employed for the voice signal. The proposed obstacle avoidance device is cost effective, easy to use and easily upgraded.

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8

Yu, Tong, Yilin Shen, and Hongxia Jin. "Towards Hands-Free Visual Dialog Interactive Recommendation." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 01 (2020): 1137–44. http://dx.doi.org/10.1609/aaai.v34i01.5465.

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With the recent advances of multimodal interactive recommendations, the users are able to express their preference by natural language feedback to the item images, to find the desired items. However, the existing systems either retrieve only one item or require the user to specify (e.g., by click or touch) the commented items from a list of recommendations in each user interaction. As a result, the users are not hands-free and the recommendations may be impractical. We propose a hands-free visual dialog recommender system to interactively recommend a list of items. At each time, the system sho

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Finn, Brian M., and Michael P. Nowak. "Integrated vehicle voice enhancement system and hands-free cellular telephone system." Journal of the Acoustical Society of America 115, no. 1 (2004): 15. http://dx.doi.org/10.1121/1.1646979.

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10

TAKAHASHI, Kazuhiko, Takashi NAKAUKE, and Masafumi HASHIMOTO. "Hands-Free Manipulation Using Simple Bio-Potential Interface System." Journal of System Design and Dynamics 1, no. 4 (2007): 691–702. http://dx.doi.org/10.1299/jsdd.1.691.

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11

Lee, Gyeong-Geon, Minji Choi, Taesoo An, Seonyeong Mun, and Hun-Gi Hong. "Development of the Hands-free AI Speaker System Supporting Hands-on Science Laboratory Class." International Journal of Emerging Technologies in Learning (iJET) 18, no. 01 (2023): 115–36. http://dx.doi.org/10.3991/ijet.v18i01.34843.

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The recent progress of natural language processing (NLP), speech recognition, and speech generation envisions using hands-free artificial intelligence (AI) speakers in classrooms to support student learning. In science education, the conventional hands-on laboratory education has been considered crucial in fostering students’ manipulative experimentation skills. However, touching things with gloved hands other than experimental equipment and apparatuses is strictly restricted because of the safety issue, which calls for another channel to get timely support. Therefore, we ideated that adopting

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12

Lawrence, Dean, Hannah Imboden, Maya Kabbash, Hussein Chebli, and Adnan Shaout. "EEyePaint: A Gaze Estimation-Based System for Hands-Free Painting." Jordan Journal of Electrical Engineering 7, no. 3 (2021): 179. http://dx.doi.org/10.5455/jjee.204-1614652154.

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13

Iso, Toshiki, Hiroki Suzuki, Atsuki Tomioka, and Shoji Kurakake. "Hands-Free Video Phone System Based on Visual Sensor Networks." Journal of The Institute of Image Information and Television Engineers 60, no. 9 (2006): 1443–51. http://dx.doi.org/10.3169/itej.60.1443.

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14

Nakagawa, Akira, Suehiro Shimauchi, and Shoji Makino. "A study of microphone system for hands-free teleconferencing units." JOURNAL OF THE ACOUSTICAL SOCIETY OF JAPAN (E) 21, no. 1 (2000): 33–35. http://dx.doi.org/10.1250/ast.21.33.

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15

Craig, Ashley, Yvonne Tran, Daniel Craig, and Ranjit Thuraisingham. "Improving correct switching rates in a ‘hands-free’ environmental control system." Journal of Neural Engineering 2, no. 4 (2005): L9—L13. http://dx.doi.org/10.1088/1741-2560/2/4/l01.

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16

Jayasri, A. R., Dr P. Kanimozhi, and Dr T. Ananth kumar. "A Brief Review on Voice Assisted Hands-free Virtual Painting System." Middle East Journal of Applied Science & Technology 06, no. 04 (2023): 01–06. http://dx.doi.org/10.46431/mejast.2023.6401.

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This study employs various Human-Computer Interaction methods to introduce an innovative system that empowers individuals with diverse abilities to use computers in novel ways. It combines gesture-based virtual mouse control and painting, along with eye and voice integration. Advanced eye-tracking technology to accurately detect and interpret ocular movements is incorporated. These movements are then mapped to specific on-screen actions, facilitated by the computer webcam. Simultaneously, hand gesture-based mouse control is also available, where it captures and analyzes intricate hand motions,

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Boord, Peter, Andrew Barriskill, Ashley Craig, and Hung Nguyen. "Brain-Computer Interface-FES Integration: Towards a Hands-free Neuroprosthesis Command System." Neuromodulation: Technology at the Neural Interface 7, no. 4 (2004): 267–76. http://dx.doi.org/10.1111/j.1094-7159.2004.04212.x.

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18

Ju, Jin, Yunhee Shin, and Eun Kim. "Vision based interface system for hands free control of an intelligent wheelchair." Journal of NeuroEngineering and Rehabilitation 6, no. 1 (2009): 33. http://dx.doi.org/10.1186/1743-0003-6-33.

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19

Shahakar, Y. D. "Smart Technology for Hygeia Hub." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–7. https://doi.org/10.55041/ijsrem41683.

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This project presents, intelligent touch- free restroom system designed to promote hygiene, reduce water waste, and enhance user experience. The system integrates advanced sensors, actuators, and automation technologies to create a seamless, hands-free environment. Key features include touchless faucets, automatic soap dispensers, touchless toilets, and intelligent hand dryers. The system's control and automation module utilize machine learning algorithms to optimize water usage, detect maintenance needs, and ensure continuous operation. The system's touchless interface minimizes the risk of g

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20

Ullah, Irfan, Abid Ali, Shahid Rasool, et al. "Gaze Tracking for Hands-Free Human Using Deep Reinforcement Learning Approach." Journal of Smart Internet of Things 2023, no. 2 (2023): 105–14. http://dx.doi.org/10.2478/jsiot-2023-0013.

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Abstract People with disabilities have new and advanced methods to communicate with the applications for virtual keyboards and other communication tools. In this paper, we utilized a novel deep reinforcement learning-based technique for determining the location of the accessible options for gaze-controlled tree-based menu selection system. A virtual English keyboard has been incorporated into the layout of the new user interface, which also includes improved requests for text modification through the gaze. The two methods used to manage the system are: 1) eye tracking for typing on the virtual

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21

Kumar B, Ashok, and S. Bhuvaneswari. "On Line Polling Information System." Journal of Public Administration and Governance 1, no. 2 (2011): 179. http://dx.doi.org/10.5296/jpag.v1i2.1128.

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In a social democratic set up voting is one of our fundamental duties as responsible citizens of the country. But no where around a 100% people come to vote during the elections in their territory. Net savvy new generation want manual free voting system. Survey says, pubic need a system on their hands reach through which they can vote. Keeping this as objective this via net based Information System is engineered.

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22

Sugahara, Michihiro, Yuichi Kageyama, and Naoki Kunishima. "A hands-free capillary system for protein crystallography from crystallization to data collection." Journal of Applied Crystallography 42, no. 1 (2008): 129–33. http://dx.doi.org/10.1107/s0021889808035772.

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With the goal of producing a fully automated experimental system for protein X-ray crystallography, a hands-free system is presented in which all aspects of crystallographic experiments, from crystallization to diffraction data collection, are performed within a modified X-ray glass capillary. Because it eliminates the manual handling of crystals, this capillary system allows the user to evaluate the quality of protein crystals more accurately. The capabilities of this capillary system were examined using the TTHB049 protein fromThermus thermophilusHB8 and xylanase fromTrichoderma longibrachia

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23

Fukui, Masahiro, Suehiro Shimauchi, Yusuke Hioka, Akira Nakagawa, and Yoichi Haneda. "Double-talk robust acoustic echo cancellation for CD-quality hands-free videoconferencing system." IEEE Transactions on Consumer Electronics 60, no. 3 (2014): 468–75. http://dx.doi.org/10.1109/tce.2014.6937332.

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24

Craig, Ashley, Perez Moses, Yvonne Tran, Paul McIsaac, and Les Kirkup. "The effectiveness of a hands-free environmental control system for the profoundly disabled." Archives of Physical Medicine and Rehabilitation 83, no. 10 (2002): 1455–58. http://dx.doi.org/10.1053/apmr.2002.34624.

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25

Sangwani, Mkandawire, and Chatola Fanny. "Virtual navigation controls system and object detection using computer vision." i-manager’s Journal on Software Engineering 19, no. 1 (2024): 9. https://doi.org/10.26634/jse.19.1.21300.

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The Virtual Navigation Control and Object Detection System is a solution designed to provide users with virtual navigation tools and real-time object detection capabilities using computer vision. Leveraging the device's camera, the system enables hands-free control through gesture recognition, eliminating the need for physical peripherals. Advanced object detection offers users immediate information about their surroundings, enhancing user experience, accessibility, and educational opportunities. Key technologies include computer vision libraries, machine learning algorithms, and a user- cente

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26

Futami, Kyosuke, Kohei Oyama, and Kazuya Murao. "Augmenting Ear Accessories for Facial Gesture Input Using Infrared Distance Sensor Array." Electronics 11, no. 9 (2022): 1480. http://dx.doi.org/10.3390/electronics11091480.

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Simple hands-free input methods using ear accessories have been proposed to broaden the range of scenarios in which information devices can be operated without hands. Although many previous studies use canal-type earphones, few studies focused on the following two points: (1) A method applicable to ear accessories other than canal-type earphones. (2) A method enabling various ear accessories with different styles to have the same hands-free input function. To realize these two points, this study proposes a method to recognize the user’s facial gesture using an infrared distance sensor attached

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27

Yogesh A. Desai, Priyansh Kashyap, Kshitij Prasad, Thrisha Karaning, Dr. Pavithra G, and Dr. T.C.Manjunath. "Development Of a Liquid/Fluid Removing System Module For Medical Hospitals Using IoT." international journal of engineering technology and management sciences 7, no. 6 (2023): 107–10. http://dx.doi.org/10.46647/ijetms.2023.v07i06.021.

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In this paper, the development of an automatic fluid dispensing module for medical applications in the hospital zones using IoT concepts is presented. This project focuses on developing an automatic fluid dispenser designed to offer a seamless and hands-free fluid supply, eliminating the need for manual intervention. This technology is widely used in diverse environments, including households, offices, public spaces, and industrial settings. The dispenser operates through sensors, valves, and pumps to identify the presence of a container, such as a glass or bottle, and dispenses a pre-set amou

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28

G.R, Dakshayini. "Gesture Driven Smart Car Using Arduino." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48123.

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ABSTRACT This project involves designing a gesture-controlled smart car using an Arduino Nano, MPU6050 sensor, L298N motor driver, and DC motors. The MPU6050 detects hand gestures, which are processed by the Arduino to control the car's motion (forward, backward, left, right, and stop). This intuitive system offers hands-free operation, with applications in robotics, assistive technology, and interactive demonstrations. It showcases Arduino-based robotics and sensor integration, with potential for wireless or autonomous upgrades. Keywords: Gesture-Controlled Smart Car, Arduino Nano, MPU6050 Se

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29

Taniguchi, Kazuhiro, Atsushi Nishikawa, Seiichiro Kawanishi, and Fumio Miyazaki. "KOMEKAMI Switch: A Novel Wearable Input Device Using Movement of Temple." Journal of Robotics and Mechatronics 20, no. 2 (2008): 260–72. http://dx.doi.org/10.20965/jrm.2008.p0260.

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A wearable computing system plays a leading role in the ubiquitous computing era, in which computers are used at any place and at any time. Now the mobile multimedia communication technology based devices, such as mobile phone, handy-type PC, etc., have come to be used in such a broad range of areas, the features of wearable hands-free computing system, which people can constantly use in their daily life or workplace while doing some other job, are highly valued more than ever. However, the wearable computing system has not yet spread so widely owing to various factors. Among such factors is t

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30

Kancler, David E., Megan E. Gorman, and Allen R. Revels. "The Use of Voice and Head-Tracking for Hands-Free Human-Computer Interaction." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 23 (2002): 1915–19. http://dx.doi.org/10.1177/154193120204602310.

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This Practitioner Paper discusses the second in a series of studies examining the Voice Head Integrated Control (VHIC) suite, which combines use of voice commands and a head-tracking device as an alternative to the mouse and keyboard. This VHIC system is currently being investigated as a hands-free interface for accessing digitized aircraft technical manuals. The present study was conducted to validate the voice command vocabulary and provide an initial evaluation of the VHIC hardware. Aircraft maintainers from the 445th C-141 Air Force Reserve Unit served as subjects. The current study made u

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WU, JIAN-DA, and SHIH-LIN LIN. "AUDIO QUALITY IMPROVEMENT OF VEHICULAR HANDS-FREE COMMUNICATION USING VARIABLE STEP-SIZE AFFINE-PROJECTION ALGORITHM." International Journal of Wavelets, Multiresolution and Information Processing 08, no. 06 (2010): 875–94. http://dx.doi.org/10.1142/s0219691310003821.

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For a vehicular hands-free communication system, the sound quality of communication is usually degraded by noise which is known to be detrimental to system performance. In this paper, a novel adaptive filtering algorithm and an integrated system for acoustic echo and noise cancellation are presented. The proposed system includes adaptive noise cancellation, line enhancer, and echo cancellation which are based on a variable step-size affine-projection algorithm (VSS APA). The proposed VSS APA filtering algorithm is a combination of a variable step-size least-mean-square (VSS LMS) and an affine-

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32

Begum, Mrs Md Jareena. "AI-Powered Visual Navigation System." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5473–77. https://doi.org/10.22214/ijraset.2025.69504.

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The Augmented Reality (AR) Navigation System for Visually Impaired Individuals aims to enhance their ability to move independently in unfamiliar environments. Using a mobile device's camera, the system captures real-time images, processes them to identify objects. Users interact with the system through voice commands, enabling hands-free operation, while synthesized speech delivers navigation instructions and object descriptions. This approach helps visually impaired individuals by offering real-time, on-demand access to visual information, improving their mobility and independence. The system

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33

McIsaac, Paul, Ashley Craig, Yvonne Tran, and Peter Boord. "The mind switch environmental control system: Remote hands free control for the severely disabled." Technology and Disability 14, no. 1 (2002): 15–20. http://dx.doi.org/10.3233/tad-2002-14103.

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34

MIZUNO, Fumio, Tomoaki Hayasaka, Kenichi Tsubota, Shigeo Wada, and Takami YAMAGUCHI. "Development of a hands-free interface for wearable computer in health care support system." Proceedings of the JSME Conference on Frontiers in Bioengineering 2003.14 (2003): 163–64. http://dx.doi.org/10.1299/jsmebiofro.2003.14.163.

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MIZUNO, Fumio, Tomoaki Hayasaka, Kenichi Tsubota, Shigeo Wada, and Takami YAMAGUCHI. "Development of a hands-free interface for wearable computer in health care support system." Proceedings of the JSME annual meeting 2003.5 (2003): 305–6. http://dx.doi.org/10.1299/jsmemecjo.2003.5.0_305.

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MIZUNO, Fumio, and Takami YAMAGUCHI. "Development of hands-free interface using for wearable computer in health care support system." Proceedings of the JSME Symposium on Welfare Engineering 2002.2 (2002): 355–58. http://dx.doi.org/10.1299/jsmewes.2002.2.355.

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37

Adav, Aryan. "Speech-Controlled Power Lenses for Optical Wearables: A Hands-Free Solution for Focus Adjustment." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 4567–75. https://doi.org/10.22214/ijraset.2025.71208.

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This paper presents a system for speech-controlled optical wearables that dynamically adjust lens focus through motorized control. The system integrates the AI Thinker VCO2 module for offline voice recognition and the ESP32 microcontroller for motor control. The system provides users with hands-free control to adjust lens focus using natural language commands such as ’Zoom In’ or ’Zoom Out’. We analyze the architecture, process flow, and mathematical models that govern motor control and evaluate performance based on real-world testing. Experimental results demonstrate the system’s feasibility

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38

Pradnya, Jawale Chirag Joshi Dr.Milind Nemade. "SPEECH RECOGNITION SYSTEM FOR BLIND PEOPLE USING RASPBERRY PI AND JASPER PLATFORM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 5 (2017): 598–603. https://doi.org/10.5281/zenodo.165631.

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Speech recognition applications are becoming more and more practical nowadays. Various interactive speech aware applications are available in the market. But they are usually meant for and executed on the traditional general-purpose computers. Due to the rapid technological advancements, bigger and more complex tasks are being efficiently performed consuming less time and efforts. This can be further simplified with a more hands-free approach with the help of Voice Controlled System. For implementing this, we use an open source platform called Jasper for Raspberry Pi. Our aim is to build an au

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39

Ogawa, Ryoma, Kyosuke Futami, and Kazuya Murao. "Nasal Breath Input: Exploring Nasal Breath Input Method for Hands-Free Input by Using a Glasses Type Device with Piezoelectric Elements." Journal of Data Intelligence 3, no. 4 (2022): 421–40. http://dx.doi.org/10.26421/jdi3.4-2.

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Research on hands-free input methods has been actively conducted. However, most of the previous methods are difficult to use at any time in daily life due to using speech sounds or body movements. In this study, to realize a hands-free input method based on nasal breath using wearable devices, we propose a method for recognizing nasal breath gestures, using piezoelectric elements placed on the nosepiece of a glasses-type device. In the proposed method, nasal vibrations generated by nasal breath are acquired as sound data from the devices. Next, the breath pattern is recognized based on the fac

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Naveen, Y., and Ch Navya Sree. "GestureFlow: Advanced Hand Gesture Control System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44540.

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Our project "GestureFlow: Advanced Hand Gesture Control System" leverages real-time computer vision and deep learning techniques to create a robust, touchless control interface using hand gestures. The system utilizes MediaPipe Hands for efficient hand landmark detection and processes dynamic hand movements and finger configurations to identify a wide range of intuitive gestures such as swipes, pinches, and specific finger patterns. These gestures are mapped to actions like mouse control, clicks, volume adjustment, media playback, screenshot capture, window management, and many more. The syste

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Rajamäki, Jyri. "Kinetic Controlled Flying of Micro Air Vehicles (MAV) for Public Protection and Disaster Relief (PPDR)." DESIGN, CONSTRUCTION, MAINTENANCE 1 (February 6, 2021): 18–23. http://dx.doi.org/10.37394/232022.2021.1.3.

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We present a hands-free kinetic control method for flying of micro air vehicles (MAVs) or small unmanned aerial vehicles (UAVs) for public protection and disaster relief (PPDR). The system combines a 3D depth-sensing camera with a low-cost drone. The solution is based on Delicode Ltd’s NI mateTM software toolkit. In a study with 10 participants, the kinetic control method was tested and compared with the drone’s normal control mode. The speed to fly a certain path inside a building, and the path accuracy at checkpoints were compared between these two modes. The learning rate with the kinetic c

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42

Jones, Keith S., Matthew S. Middendorf, Gloria Calhoun, and Grant McMillan. "Evaluation of an Electroencephalographic-Based Control Device." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 42, no. 5 (1998): 491–95. http://dx.doi.org/10.1177/154193129804200510.

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Electroencephalographic (EEG)-based control devices are one of several emerging technologies that will provide operators with a variety of new hands-free control options. In general, EEG-based control translates brain electrical activity into a control signal. The system evaluated in this study uses the steady-state visual evoked response for system control. The luminance of selectable items on a computer display was modulated at different frequencies. The operator's choice between these items was identified by detecting which frequency pattern was dominant in the visual evoked brain activity.

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43

Chi, Hongmei, Jinwei Liu, Weifeng Xu, Mingming Peng, and Jon DeGoicoechea. "Design Hands-on Lab Exercises for Cyber-physical Systems Security Education." Journal of The Colloquium for Information Systems Security Education 9, no. 1 (2022): 8. http://dx.doi.org/10.53735/cisse.v9i1.140.

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The integration of cyber-physical systems (CPS) has been extremely advantageous to society, it merges the attention of cybersecurity for vehicles as a timely concern as a matter of public and individual. The failure of any vehicle system could have a serious impact on vehicle control and cause undesired consequences. With the growing demand for security in CPS, there are few hands-on labs/modules available for training current students, future engineers, or IT professionals to understand cybersecurity in CPS. This study describes the execution of a free security testbed to replicate a vehicle’

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44

Richardson, Joshua E., Sina Shah-Hosseini, John E. Fiadjoe, Joan S. Ash, and Mohamed A. Rehman. "The effects of a hands-free communication device system in a surgical suite: Table 1." Journal of the American Medical Informatics Association 18, no. 1 (2011): 70–72. http://dx.doi.org/10.1136/jamia.2009.001461.

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45

Goto, Satoru, Osamu Yano, Yoshitaka Matsuda, Takenao Sugi, and Naruto Egashira. "Development of Hands-free Remote Operation System for a Mobile Robot Using EOG and EMG." IEEJ Transactions on Electronics, Information and Systems 136, no. 9 (2016): 1283–90. http://dx.doi.org/10.1541/ieejeiss.136.1283.

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MIZUNO, Fumio, Tomoaki HAYASAKA, Kenichi TSUBOTA, Shigeo WADA, and Takami YAMAGUCHI. "Development of wearable computer with hands-free operation function for home health care support system." Proceedings of the JSME Symposium on Welfare Engineering 2003.3 (2003): 185–88. http://dx.doi.org/10.1299/jsmewes.2003.3.185.

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47

Ohkubo, Toshiya, Tetsuya Takiguchi, and Yasuo Ariki. "Two-channel-based Noise Reduction in a Complex Spectrum Plane for Hands-free Communication System." Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology 46, no. 2-3 (2007): 123–31. http://dx.doi.org/10.1007/s11265-006-0032-7.

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Wu, Jian-Da, Tian-Hua Lee, and Mingsian R. Bai. "Background noise cancellation for hands-free communication system of car cabin using adaptive feedforward algorithms." International Journal of Vehicle Design 31, no. 4 (2003): 440. http://dx.doi.org/10.1504/ijvd.2003.003356.

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GOTO, SATORU, OSAMU YANO, YOSHITAKA MATSUDA, TAKENAO SUGI, and NARUTO EGASHIRA. "Development of Hands-Free Remote Operation System for a Mobile Robot Using EOG and EMG." Electronics and Communications in Japan 100, no. 10 (2017): 38–47. http://dx.doi.org/10.1002/ecj.11984.

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K N, Kanmani. "Voice Activated Email System for Visually Impaired." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48700.

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Abstract:

Abstract - In today’s digital world, internet services like email are essential but often inaccessible to visually impaired individuals due to visually oriented designs. While screen readers exist, they can be complex and insufficient. This paper presents a voice-based email system designed to simplify email use for the visually impaired by allowing users to speak commands and listen to responses, eliminating the need for reading or typing. Using speech recognition and text-to-speech technology, the system offers a hands-free, eyes-free experience that enhances independence and ease of use. Te

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