An RFID-Based Assistive Glove to Help the Visually Impaired

Recent studies have focused on facilitating perception and outdoor navigation for people who live with blindness or some form of vision loss. However, a significant portion of these studies is centered around treatment and vision rehabilitation, leaving some immediate needs, such as interaction with the surrounding objects or recognizing colors and fine patterns without tactile feedback. This study targets such needs and delivers a straightforward communication method with the environment using a wearable, unobtrusive device. We initially discuss the advantages and limitations of related works to draw out the best-fitting design concepts. Then, we introduce the potential for emerging technologies such as radio frequency identification. We present the design details and the experimental results of an assistive glove to allow people with vision disabilities to interact with the environment more efficiently. Based on the collected data from 17 blindfolded healthy participants, the implemented system’s success rate in identifying objects was about 96.32%. Overall, 70% of the users found the device very satisfactory.

[1]  Kailas Patil,et al.  An Astute Assistive Device for Mobility and Object Recognition for Visually Impaired People , 2019, IEEE Transactions on Human-Machine Systems.

[2]  Gretchen A. Stevens,et al.  Magnitude, temporal trends, and projections of the global prevalence of blindness and distance and near vision impairment: a systematic review and meta-analysis. , 2017, The Lancet. Global health.

[3]  Tan-Phu Vuong,et al.  A Novel 3-D Tag With Improved Read Range for UHF RFID Localization Applications , 2017, IEEE Antennas and Wireless Propagation Letters.

[4]  Barbara Leporini,et al.  Vibrotactile feedback to aid blind users of mobile guides , 2009, J. Vis. Lang. Comput..

[5]  Roberto Manduchi,et al.  Mobile Vision as Assistive Technology for the Blind: An Experimental Study , 2012, ICCHP.

[6]  A. Baskar,et al.  Vision System with 3D Audio Feedback to assist Navigation for Visually Impaired , 2020 .

[7]  M. Serpelloni,et al.  Wearable object detection system for the blind , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.

[8]  Vivian Genaro Motti,et al.  Human Factors Considerations in the Design of Wearable Devices , 2014 .

[9]  Josechu J. Guerrero,et al.  Navigation Assistance for the Visually Impaired Using RGB-D Sensor With Range Expansion , 2016, IEEE Systems Journal.

[10]  Norihiro Nagai,et al.  QD laser eyewear as a visual field aid in a visual field defect model , 2019, Scientific Reports.

[11]  Patrick Goh,et al.  Multi-Sensor Obstacle Detection System Via Model-Based State-Feedback Control in Smart Cane Design for the Visually Challenged , 2018, IEEE Access.

[12]  Shah Khusro,et al.  Technology-assisted white cane: evaluation and future directions , 2018, PeerJ.

[13]  J. Weiland,et al.  Assessment of feedback modalities for wearable visual aids in blind mobility , 2017, PloS one.

[14]  Ludger Overmeyer,et al.  Position Tracking for Passive UHF RFID Tags with the Aid of a Scanned Array , 2013, Int. J. Wirel. Inf. Networks.

[15]  Cang Ye,et al.  3-D Object Recognition of a Robotic Navigation Aid for the Visually Impaired , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[16]  Sethuraman Panchanathan,et al.  A wearable wireless RFID system for accessible shopping environments , 2008, BODYNETS.

[17]  Daniel L. Chao,et al.  Large-scale assessment of needs in low vision individuals using the Aira assistive technology , 2019, Clinical ophthalmology.

[18]  José Humberto Arroyo Núñez,et al.  Displacement aid system for people with visual impairment using magnetic coils , 2019, IEEE Latin America Transactions.

[19]  Hanêne Ben-Abdallah,et al.  ENVISION: Assisted Navigation of Visually Impaired Smartphone Users , 2016, CENTERIS/ProjMAN/HCist.

[20]  Daniela Rus,et al.  Safe Local Navigation for Visually Impaired Users With a Time-of-Flight and Haptic Feedback Device , 2018, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[21]  Ramiro Velazquez,et al.  Wearable Assistive Devices for the Blind , 2016, ArXiv.

[22]  Michele Merler,et al.  Recognizing Groceries in situ Using in vitro Training Data , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[23]  Hisayuki Tatsumi,et al.  Use of Bar Code and RFID for the Visually Impaired in Educational Environment , 2004, ICCHP.

[24]  Yonggao Yang,et al.  A Smart \"Virtual Eye\" Mobile System for the Visually Impaired , 2016, IEEE Potentials.

[25]  Cang Ye,et al.  An Indoor Wayfinding System Based on Geometric Features Aided Graph SLAM for the Visually Impaired , 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[26]  Hisayuki Tatsumi,et al.  RFID for aiding the visually impaired recognize surroundings , 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

[27]  Alistair D. N. Edwards,et al.  Improving the usability of speech-based interfaces for blind users , 1996, Assets '96.

[28]  Bruno Ando,et al.  A Haptic Solution to Assist Visually Impaired in Mobility Tasks , 2015, IEEE Transactions on Human-Machine Systems.

[29]  M. Neela Harish Intelligent glove for visually impaired people using haptic feedback system , 2020 .