Review of Various Assistive Technologies in Healthcare
Main Article Content
About 8% of the population in India is multiply-disabled, of which significant sections constitute women due to lower literacy rates, social factors, and lower grade health facilities. Disability affect the normal day-to-day functioning of an individual and the assistive technologies are useful tools to provide a workable solution to mitigate some of the disability related issues. This paper reviews models and prototypes of various assistive technology available worldwide. These technologies may cater to a single impairment’s needs but can also be used by a multiply disabled person after some modifications. Such models fail to impact developing nations’ markets. The work done to mitigate the effects of vision impairment hearing and speech impairment is explored. Finally, the technological and research challenges are discussed in developing assistive technologies and devices for different disabilities.
Light J, McNaughton D, Beukelman D, Fager SK, Fried-Oken M, Jakobs T, Jakobs E. Challenges and opportunities in augmentative and alternative communication: Research and technology development to enhance communication and participation for individuals with complex communication needs. Augmentative and Alternative Communication. 2019 Jan 2; 35(1):1-2.
Isaksson J, Jansson T, Nilsson J. Desire of use: A hierarchical decomposition of activities and its application on mobility of by blind and low-vision individuals. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2020 Apr 3; 28(5):1146-56.
Kunhoth J, Karkar A, Al-Maadeed S, Al-Ali A. Indoor positioning and wayfinding systems: a survey. Human-centric Computing and Information Sciences. 2020 Dec; 10(1):1-41.
Bai J, Liu Z, Lin Y, Li Y, Lian S, Liu D. Wearable travel aid for environment perception and navigation of visually impaired people. Electronics. 2019 Jun; 8(6):697.
Lima A, Mendes D, Paiva S. Outdoor navigation systems to promote urban mobility to aid visually impaired people. Journal of Information Systems Engineering & Management. 2018; 3(2):14.
Bajaj R, Ranaweera SL, Agrawal DP. GPS: location-tracking technology. Computer. 2002 Aug 7; 35(4):92-4.
Li Y, Xu H, Li P. RFID-Based WIMEC-LANDMARC Indoor Location Algorithm. In 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) 2020 Nov 2 (pp. 448-455). IEEE.
Simões WC, Machado GS, Sales A, de Lucena MM, Jazdi N, de Lucena VF. A review of technologies and techniques for indoor navigation systems for the visually impaired. Sensors. 2020 Jan; 20(14):3935.
Duarte K, Cecilio J, Silva JS, Furtado P. Information and assisted navigation system for blind people. International Journal on Smart Sensing and Intelligent Systems. 2020 Feb 15; 7(5).
Khan A, Khusro S. An insight into smartphone-based assistive solutions for visually impaired and blind people: issues, challenges and opportunities. Universal Access in the Information Society. 2021 Jun; 20(2):265-98.
Wang X, Fang G, Wang K, Xie X, Lee KH, Ho JD, Tang WL, Lam J, Kwok KW. Eye-in-hand visual servoing enhanced with sparse strain measurement for soft continuum robots. IEEE Robotics and Automation Letters. 2020 Jan 28; 5(2):2161-8.
Long N, Wang K, Cheng R, Hu W, Yang K. Unifying obstacle detection, recognition, and fusion based on millimeter wave radar and RGB-depth sensors for the visually impaired. Review of Scientific Instruments. 2019 Apr 22; 90(4):044102.
Nguyen TH, Nguyen TH, Le TL, Tran TT, Vuillerme N, Vuong TP. A wireless assistive device for visually-impaired persons using tongue electrotactile system. In 2013 International Conference on Advanced Technologies for Communications (ATC 2013) 2013 Oct 16 (pp. 586-591). IEEE.
Adao T, Magalhães L, Fernandes H, Paredes H, Barroso J. Navigation module of blavigator prototype. InWorld Automation Congress 2012 2012 Jun 24 (pp. 1-6). IEEE.
Mathankumar M, Sugandhi N. A low cost smart shopping facilitator for visually impaired. In2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2013 Aug 22 (pp. 1088-1092). IEEE.
Thigale S, Kagade RB. Portable Camera Based Assistive Text and Product Label Reading from Hand Held Object by Using Android App for Blind Person. In Techno-Societal 2020 2021 (pp. 117-124). Springer, Cham.
Rahman AM, Tanveer MI, Anam AI, Yeasin M. IMAPS: A smart phone based real-time framework for prediction of affect in natural dyadic conversation. In 2012 Visual Communications and Image Processing 2012 Nov 27 (pp. 1-6). IEEE.
Allen J. Reading machines for the blind: The technical problems and the methods adopted for their solution. IEEE Transactions on Audio and Electroacoustics. 1973 Jun; 21(3):259-64.
Hofstader C. Internet accessibility: beyond disability. Computer. 2004 Sep 13; 37(9):103-5.
Bourbakis NG, Ravraki D. Intelligent assistants for handicapped people’s independence: case study. In Proceedings IEEE International Joint Symposia on Intelligence and Systems 1996 Nov 4 (pp. 337-344). IEEE.
Web Accessibility Initiative, http://www.w3.org/WAI/
Di Lucca GA, Fasolino AR, Tramontana P. Web site accessibility: Identifying and fixing accessibility problems in client page code. InSeventh IEEE International Symposium on Web Site Evolution 2005 Sep 26 (pp. 71-78). IEEE.
Cesarano C, Fasolino AR, Tramontana P. Improving usability of web pages for blinds. In 2007 9th IEEE International Workshop on Web Site Evolution 2007 Oct 5 (pp. 97-104). IEEE.
Imtiaz MA, Aziz S, Zaib A, Maqsood A, Khan MU, Waseem A. Wearable Scene Classification System for Visually Impaired Individuals. In 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) 2020 Jun 12 (pp. 1-6). IEEE.
Wang J, Zhao L, Liu Y, Wang Y, Cai Y. E-Pad: a comfortable electrocutaneous-based tactile feedback display. In 2017 International Conference on Optical Instruments and Technology: Optoelectronic Imaging/Spectroscopy and Signal Processing Technology 2018 Jan 12 (Vol. 10620, p. 106200H). International Society for Optics and Photonics.
Kiyota K, Ishibashi T, Shimakawa M, Ito K. Effects of Social Implementation Education for Assistive Device Engineers at NIT (KOSEN) through the Development of a Digital Reading Device for the Visually Impaired. Sensors. 2022 Jan 28; 22(3):1047.
Sheikh W, Schleppenbach D, Leas D. MathSpeak: a non-ambiguous language for audio rendering of MathML. International Journal of Learning Technology. 2018;13(1):3-25.
Morris T, Blenkhorn P, Crossey L, Ngo Q, Ross M, Werner D, Wong C. Clearspeech: A display reader for the visually handicapped. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2006 Dec 19; 14(4):492-500.
Neiva DH, Zanchettin C. Gesture recognition: A review focusing on sign language in a mobile context. Expert Systems with Applications. 2018 Aug 1; 103:159-83.
Wagreich B. Electronic mail for the hearing impaired and it’s potential for other disabilities. IEEE Transactions on Communications. 1982 Jan; 30(1):58-65.
Wald M, Bain K. Using speech recognition for real-time captioning of multiple speakers. IEEE MultiMedia. 2008 Oct 1; 15(04):56-7.
Kaneko Y, Chung I, Suzuki K. Light-emitting device for supporting auditory awareness of hearing-impaired people during group conversations. In2013 IEEE International Conference on Systems, Man, and Cybernetics 2013 Oct 13 (pp. 3567-3572). IEEE.
Masum AI, Mollah AF. Hand Signs Recognition from Cellphone Camera Captured Images for Deaf-Mute Persons. In Artificial Intelligence and Technologies 2022 (pp. 45-52). Springer, Singapore.
Sarji DK. Handtalk: Assistive technology for the deaf. Computer. 2008 Jul 15; 41(7):84-6.
Lopez-Ludena V, San-Segundo R, Martin R, Sanchez D, Garcia A. Evaluating a speech communication system for deaf people. IEEE Latin America Transactions. 2011 Aug 22; 9(4):565-70.
Rekha K, Latha B. Mobile translation system from speech language to hand motion language. In 2014 International Conference on Intelligent Computing Applications 2014 Mar 6 (pp. 411-415). IEEE.
Xue H, Qin S. Mobile motion gesture design for deaf people. In The 17th International Conference on Automation and Computing 2011 Sep 10 (pp. 46-50). IEEE.
Verma VK, Srivastava S. Toward machine translation linguistic issues of Indian Sign Language. In Speech and language processing for human-machine communications 2018 (pp. 129-135). Springer, Singapore.
Dhanjal AS, Singh W. Tools and techniques of assistive technology for hearing impaired people. In 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) 2019 Feb 14 (pp. 205-210). IEEE.
Chitranshi G, Yadav RK. Assistive aids for the disabled: Past, present and future. In 2014 5th International Conference-Confluence the Next Generation Information Technology Summit (Confluence) 2014 Sep 25 (pp. 962-966). IEEE.
Villarreal LR, Castro BJ, Cruz JA. Wireless Haptic Glove for Interpretation and Communication of Deaf-blind People. In Iberoamerican Workshop on Human-Computer Interaction 2020 Sep 16 (pp. 305-314). Springer, Cham.
Ohtsuka S, Joh G. New evaluation method for One-point Body-Braille. In 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE) 2019 Oct 15 (pp. 1151-1153). IEEE.
El Hayek H, Nacouzi J, Kassem A, Hamad M, El-Murr S. Sign to letter translator system using a hand glove. In The Third International Conference on e-Technologies and Networks for Development (ICeND2014) 2014 Apr 29 (pp. 146-150). IEEE.
Soltani F, Eskandari F, Golestan S. Developing a gesture-based game for deaf/mute people using Microsoft Kinect. In2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems 2012 Jul 4 (pp. 491-495). IEEE.