Integrated Supporting Platform for the Visually Impaired : Using Smart devices

For the visually impaired (VI)'s safe walking, this platform provide both VI and guardians with optimal information through commonly used smart devices. This contributes to enhancing safety of walk, and composing a single platform which integrates each assistive technology by using web based interface. The overall platform is composed of four categories, and each category interacts with each other through HTTP connection. The experiment was conducted by walk simulation, performance test and descriptive evaluation to test the performance of the platform. As a result, the practicality and defects of the platform are induced from the measurement data and feedback data. The appearance of this platform allows VI not only to get the optimal information but also to improve safety of walk. As for guardians, they can administrate the application, and update the latest information at any time, which contributes to individual administration.

[1]  Jian Bai,et al.  Expanding the Detection of Traversable Area with RealSense for the Visually Impaired , 2016, Sensors.

[2]  Dimitris Koutsouris,et al.  An indoor navigation system for visually impaired and elderly people based on Radio Frequency Identification (RFID) , 2015, Inf. Sci..

[3]  อนิรุธ สืบสิงห์,et al.  Data Mining Practical Machine Learning Tools and Techniques , 2014 .

[4]  Albert M. Cook,et al.  Assistive Technologies: Principles and Practice , 1995 .

[5]  George L Spaeth,et al.  A comparison of methods used to evaluate mobility performance in the visually impaired , 2014, British Journal of Ophthalmology.

[6]  Rod Johnson,et al.  Expert One-on-One J2EE Design and Development , 2002 .

[7]  Jun Ma,et al.  An Easily Accessible Web-Based Minimization Random Allocation System for Clinical Trials , 2013, Journal of medical Internet research.

[8]  Mathieu Raynal,et al.  Navigation and space perception assistance for the visually impaired: The NAVIG project Assistance à la navigation et à la perception de l'espace pour les déficients visuels : le projet NAVIG , 2012 .

[9]  Kit Yan Chan,et al.  An edge detection framework conjoining with IMU data for assisting indoor navigation of visually impaired persons , 2017, Expert Syst. Appl..

[10]  Anna-Liisa Salminen,et al.  Young persons with visual impairment: Challenges of participation , 2014, Scandinavian journal of occupational therapy.

[11]  Gert Jan Gelderblom,et al.  User Evaluation of Two Electronic Mobility Aids for Persons Who Are Visually Impaired: A Quasi-Experimental Study Using a Standardized Mobility Course , 2012, Assistive technology : the official journal of RESNA.

[12]  Luigi F. Cuturi,et al.  Neuroscience and Biobehavioral Reviews , 2022 .

[13]  M. Patton Qualitative Research & Evaluation Methods: Integrating Theory and Practice , 2014 .

[14]  Adrian F. Clark,et al.  A Navigation System for the Visually Impaired: A Fusion of Vision and Depth Sensor , 2015, Applied bionics and biomechanics.

[15]  Yuichiro Sakamoto,et al.  An Effective Support System of Emergency Medical Services With Tablet Computers , 2015, JMIR mHealth and uHealth.

[16]  Hiroshi Suzuki,et al.  Indoor Navigation System based on Passive RFID Transponder with Digital Compass for Visually Impaired People , 2016 .

[17]  Nguyen-Thong Dang,et al.  Training the elderly in pedestrian safety: Transfer effect between two virtual reality simulation devices. , 2017, Accident; analysis and prevention.

[18]  Yefei He,et al.  Virtual reality by mobile smartphone: improving child pedestrian safety , 2016, Injury Prevention.

[19]  James Weiland,et al.  A wearable system for the visually impaired , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[20]  Gert Jan Gelderblom,et al.  The Development of an Indoor Mobility Course for the Evaluation of Electronic Mobility Aids for Persons Who Are Visually Impaired , 2012, Assistive technology : the official journal of RESNA.

[21]  Roberta L. Klatzky,et al.  Navigation System for the Blind: Auditory Display Modes and Guidance , 1998, Presence.

[22]  Jaranit Kaewkungwal,et al.  Effectiveness of Implementation of Electronic Malaria Information System as the National Malaria Surveillance System in Thailand , 2016, JMIR public health and surveillance.

[23]  Jörg Conradt,et al.  A wearable mobility device for the blind using retina-inspired dynamic vision sensors , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[24]  Anderson Rocha,et al.  A Kinect-Based Wearable Face Recognition System to Aid Visually Impaired Users , 2017, IEEE Transactions on Human-Machine Systems.

[25]  Simon Stobart,et al.  The MySQL Database Management System , 2002 .

[26]  Mohamed Lamine Mekhalfi,et al.  Recovering the Sight to blind People in indoor Environments with smart Technologies , 2016, Expert Syst. Appl..

[27]  Behrouz A. Forouzan,et al.  Data Communications and Networking , 2000 .

[28]  Jinsook Lee,et al.  A Study on Women’s Care-work in the Personal Assistant Service by Activity Assistant for People with Disabilities , 2016 .

[29]  Barbara A Morrongiello,et al.  Innovations in using virtual reality to study how children cross streets in traffic: evidence for evasive action skills , 2015, Injury Prevention.

[30]  Joan García-Haro,et al.  Design, Implementation and Evaluation of an Indoor Navigation System for Visually Impaired People , 2015, Sensors.

[31]  Shurug Al-Khalifa,et al.  Ebsar: Indoor guidance for the visually impaired , 2016, Comput. Electr. Eng..

[32]  Jayanta Mukhopadhyay,et al.  Electronic Bracelet and Vision-Enabled Waist-Belt for Mobility of Visually Impaired People , 2014, Assistive technology : the official journal of RESNA.