How to cite this paper
Sahoo, S & Choudhury, B. (2023). Voice-activated wheelchair: An affordable solution for individuals with physical disabilities.Management Science Letters , 13(3), 175-192.
Refrences
Aktar, N., Jaharr, I., & Lala, B. (2019, February). Voice recognition based intelligent wheelchair and GPS tracking system. In 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 1-6). IEEE.
Alim, M. A., Setumin, S., Rosli, A. D., & Ani, A. I. C. (2021, April). Development of a Voice-controlled Intelligent Wheelchair System using Raspberry Pi. In 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) (pp. 274-278). IEEE.
Alkhalid, F. F., & Oleiwi, B. K. (2019). Smart Autonomous Wheelchair Controlled by Voice Commands-Aided by Track-ing System. Iraqi Journal of Computers, Communication and Control & Systems Engineering, 19(1), 82-87.
Chen, W. Y., Jang, Y., Wang, J. D., Huang, W. N., Chang, C. C., Mao, H. F., & Wang, Y. H. (2011). Wheelchair-related accidents: relationship with wheelchair-using behavior in active community wheelchair users. Archives of physical medicine and rehabilitation, 92(6), 892-898.
Choi, J. H., Chung, Y., & Oh, S. (2019). Motion control of joystick interfaced electric wheelchair for improvement of safety and riding comfort. Mechatronics, 59, 104-114.
Chung, C. S., Wang, H., & Cooper, R. A. (2013). Functional assessment and performance evaluation for assistive robotic manipulators: Literature review. The journal of spinal cord medicine, 36(4), 273-289.
Devi, M. A., Sharmila, R., & Saranya, V. (2014, January). Hybrid brain computer interface in wheelchair using voice recognition sensors. In 2014 International Conference on Computer Communication and Informatics (pp. 1-5). IEEE.
Dicianno, B. E., Lieberman, J., Schmeler, M. R., Souza, A. E. S. P., Cooper, R., Lange, M., Liu, H & Jan, Y. K. (2015). Rehabilitation engineering and assistive technology society of North America’s position on the application of tilt, re-cline, and elevating legrests for wheelchairs literature update. Assistive Technology, 27(3), 193-198.
Frizziero, L., Liverani, A., Donnici, G., Papaleo, P., & Leon-Cardenas, C. (2021). Smart Cane Developed with DFSS, QFD, and SDE for the Visually Impaired. Inventions, 6(3), 58.
Jafar, F., Fatima, S. F., Mushtaq, H. R., Khan, S., Rasheed, A., & Sadaf, M. (2019, August). Eye controlled wheelchair us-ing transfer learning. In 2019 International Symposium on Recent Advances in Electrical Engineering (RAEE) (Vol. 4, pp. 1-5). IEEE.
Jones, M. A., McEwen, I. R., & Neas, B. R. (2012). Effects of power wheelchairs on the development and function of young children with severe motor impairments. Pediatric Physical Therapy, 24(2), 131-140.
Klebbe, R., Scherzinger, S., & Eicher, C. (2022). Assistive Robots for Patients With Amyotrophic Lateral Sclerosis: Ex-ploratory Task-Based Evaluation Study With an Early-Stage Demonstrator. JMIR Rehabilitation and Assistive Tech-nologies, 9(3), e35304.
Krahn, G. L. (2011). WHO World Report on Disability: a review. Disability and health journal, 4(3), 141-142.
Kumar, S., & Kumar, S. (2015). Design and development of head motion controlled wheelchair. International Journal of Advances in Engineering & Technology, 8(5), 816.
Kumtepe, E. D., Başoğlu, A. N., Corbacioglu, E., Daim, T. U., & Shaygan, A. (2020). A smart mass customization design tool: a case study of a portable ramp for wheelchair users. Health and Technology, 10, 723-737.
Lajeunesse, V., Vincent, C., Routhier, F., Careau, E., & Michaud, F. (2016). Exoskeletons' design and usefulness evidence according to a systematic review of lower limb exoskeletons used for functional mobility by people with spinal cord injury. Disability and Rehabilitation: Assistive Technology, 11(7), 535-547.
Letaief, M., Rezzoug, N., & Gorce, P. (2021). Comparison between joystick-and gaze-controlled electric wheelchair dur-ing narrow doorway crossing: Feasibility study and movement analysis. Assistive Technology, 33(1), 26-37.
Machangpa, J. W., & Chingtham, T. S. (2018). Head gesture controlled wheelchair for quadriplegic patients. Procedia computer science, 132, 342-351.
Machangpa, J. W., & Chingtham, T. S. (2018). Head gesture controlled wheelchair for quadriplegic patients. Procedia computer science, 132, 342-351.
Madona, P., Nisa, H. K., Wijaya, Y. P., & Akhyan, A. (2020, May). The Design Of Wheelchair Systems With Raspberry Pi 3-Based Joystick Analog And Voice Control. In IOP Conference Series: Materials Science and Engineering (Vol. 846, No. 1, p. 012032). IOP Publishing.
Mairami, F. F., Allotey, P., Warren, N., Mak, J. S., & Reidpath, D. D. (2018). Adaptive invention: independence and mo-bility through modifications. Disability and Rehabilitation: Assistive Technology, 13(7), 658-664.
Noman, A. T., Khan, M. S., Islam, M. E., & Rashid, H. (2018, October). A New Design Approach for Gesture Controlled Smart Wheelchair Utilizing Microcontroller. In 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET) (pp. 64-68). IEEE.
Opoku, M. P., Swabey, K., Pullen, D., & Dowden, T. (2019). Poverty alleviation among persons with disabilities via Unit-ed Nations' sustainable development goals in Ghana: Voices of stakeholders with disabilities. Sustainable Develop-ment, 27(1), 175-182.
Pires, G., Nunes, U., & Castelo-Branco, M. (2012). Comparison of a row-column speller vs. a novel lateral single-character speller: Assessment of BCI for severe motor disabled patients. Clinical Neurophysiology, 123(6), 1168-1181.
Prasad, S., Sakpal, D., Rakhe, P., & Rawool, S. (2017, May). Head-motion controlled wheelchair. In 2017 2nd IEEE Inter-national Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 1636-1640). IEEE.
Renuka, K., Harini, R., Balaji, V., & Ashok, N. (2021, March). Raspberry Pi based Multi-optional Wireless Wheelchair Control and Gesture Recognized Home Assist System. In IOP Conference Series: Materials Science and Engineer-ing (Vol. 1084, No. 1, p. 012071). IOP Publishing.
Sahoo, S. K., & Choudhury, B. B. (2021). A Fuzzy AHP Approach to Evaluate the Strategic Design Criteria of a Smart Robotic Powered Wheelchair Prototype. In Intelligent Systems: Proceedings of ICMIB 2020 (pp. 451-464). Singapore: Springer Singapore.
Sahoo, S. K., & Goswami, S. S. (2024). Theoretical framework for assessing the economic and environmental impact of water pollution: A detailed study on sustainable development of India. Journal of Future Sustainability, 4(1), 23-34
Sahoo, S., & Choudhury, B. (2022). Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique. Decision Science Letters, 11(1), 21-34.
Škraba, A., Stojanović, R., Zupan, A., Koložvari, A., & Kofjač, D. (2015). Speech-controlled cloud-based wheelchair plat-form for disabled persons. Microprocessors and Microsystems, 39(8), 819-828.
Tawil, Y., & Hafez, A. A. (2022, September). Deep Learning Obstacle Detection and Avoidance for Powered Wheelchair. In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-6). IEEE.
Thirugnanasambandam, K., RS, R., Loganathan, J., Dumka, A., & V, D. (2021). Optimal path planning for intelligent au-tomated wheelchair using DDSRPSO. International Journal of Pervasive Computing and Communications, 17(1), 109-120.
Upender, P., & Vardhini, P. H. (2020, November). A hand gesture based wheelchair for physically handicapped person with emergency alert system. In 2020 International Conference on Recent Trends on Electronics, Information, Com-munication & Technology (RTEICT) (pp. 232-236). IEEE.
Upender, P., & Vardhini, P. H. (2020, November). A hand gesture based wheelchair for physically handicapped person with emergency alert system. In 2020 International Conference on Recent Trends on Electronics, Information, Com-munication & Technology (RTEICT) (pp. 232-236). IEEE.
Wołoszyn, N., Grzegorczyk, J., Wiśniowska-Szurlej, A., Kilian, J., & Kwolek, A. (2020). Psychophysical health factors and its correlations in elderly wheelchair users who live in nursing homes. International Journal of Environmental Re-search and Public Health, 17(5), 1706.
Yashoda, H. G. M. T., Piumal, A. M. S., Polgahapitiya, P. G. S. P., Mubeen, M. M. M., Muthugala, M. A. V. J., & Jay-asekara, A. G. B. P. (2018, May). Design and development of a smart wheelchair with multiple control interfaces. In 2018 Moratuwa Engineering Research Conference (MERCon) (pp. 324-329). IEEE.
Yenugula, M., Sahoo, S, K., & Goswami, S. S. (2024). Cloud computing for sustainable development: An analysis of envi-ronmental, economic and social benefits. Journal of future sustainability, 4(1), 45-60.
Alim, M. A., Setumin, S., Rosli, A. D., & Ani, A. I. C. (2021, April). Development of a Voice-controlled Intelligent Wheelchair System using Raspberry Pi. In 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) (pp. 274-278). IEEE.
Alkhalid, F. F., & Oleiwi, B. K. (2019). Smart Autonomous Wheelchair Controlled by Voice Commands-Aided by Track-ing System. Iraqi Journal of Computers, Communication and Control & Systems Engineering, 19(1), 82-87.
Chen, W. Y., Jang, Y., Wang, J. D., Huang, W. N., Chang, C. C., Mao, H. F., & Wang, Y. H. (2011). Wheelchair-related accidents: relationship with wheelchair-using behavior in active community wheelchair users. Archives of physical medicine and rehabilitation, 92(6), 892-898.
Choi, J. H., Chung, Y., & Oh, S. (2019). Motion control of joystick interfaced electric wheelchair for improvement of safety and riding comfort. Mechatronics, 59, 104-114.
Chung, C. S., Wang, H., & Cooper, R. A. (2013). Functional assessment and performance evaluation for assistive robotic manipulators: Literature review. The journal of spinal cord medicine, 36(4), 273-289.
Devi, M. A., Sharmila, R., & Saranya, V. (2014, January). Hybrid brain computer interface in wheelchair using voice recognition sensors. In 2014 International Conference on Computer Communication and Informatics (pp. 1-5). IEEE.
Dicianno, B. E., Lieberman, J., Schmeler, M. R., Souza, A. E. S. P., Cooper, R., Lange, M., Liu, H & Jan, Y. K. (2015). Rehabilitation engineering and assistive technology society of North America’s position on the application of tilt, re-cline, and elevating legrests for wheelchairs literature update. Assistive Technology, 27(3), 193-198.
Frizziero, L., Liverani, A., Donnici, G., Papaleo, P., & Leon-Cardenas, C. (2021). Smart Cane Developed with DFSS, QFD, and SDE for the Visually Impaired. Inventions, 6(3), 58.
Jafar, F., Fatima, S. F., Mushtaq, H. R., Khan, S., Rasheed, A., & Sadaf, M. (2019, August). Eye controlled wheelchair us-ing transfer learning. In 2019 International Symposium on Recent Advances in Electrical Engineering (RAEE) (Vol. 4, pp. 1-5). IEEE.
Jones, M. A., McEwen, I. R., & Neas, B. R. (2012). Effects of power wheelchairs on the development and function of young children with severe motor impairments. Pediatric Physical Therapy, 24(2), 131-140.
Klebbe, R., Scherzinger, S., & Eicher, C. (2022). Assistive Robots for Patients With Amyotrophic Lateral Sclerosis: Ex-ploratory Task-Based Evaluation Study With an Early-Stage Demonstrator. JMIR Rehabilitation and Assistive Tech-nologies, 9(3), e35304.
Krahn, G. L. (2011). WHO World Report on Disability: a review. Disability and health journal, 4(3), 141-142.
Kumar, S., & Kumar, S. (2015). Design and development of head motion controlled wheelchair. International Journal of Advances in Engineering & Technology, 8(5), 816.
Kumtepe, E. D., Başoğlu, A. N., Corbacioglu, E., Daim, T. U., & Shaygan, A. (2020). A smart mass customization design tool: a case study of a portable ramp for wheelchair users. Health and Technology, 10, 723-737.
Lajeunesse, V., Vincent, C., Routhier, F., Careau, E., & Michaud, F. (2016). Exoskeletons' design and usefulness evidence according to a systematic review of lower limb exoskeletons used for functional mobility by people with spinal cord injury. Disability and Rehabilitation: Assistive Technology, 11(7), 535-547.
Letaief, M., Rezzoug, N., & Gorce, P. (2021). Comparison between joystick-and gaze-controlled electric wheelchair dur-ing narrow doorway crossing: Feasibility study and movement analysis. Assistive Technology, 33(1), 26-37.
Machangpa, J. W., & Chingtham, T. S. (2018). Head gesture controlled wheelchair for quadriplegic patients. Procedia computer science, 132, 342-351.
Machangpa, J. W., & Chingtham, T. S. (2018). Head gesture controlled wheelchair for quadriplegic patients. Procedia computer science, 132, 342-351.
Madona, P., Nisa, H. K., Wijaya, Y. P., & Akhyan, A. (2020, May). The Design Of Wheelchair Systems With Raspberry Pi 3-Based Joystick Analog And Voice Control. In IOP Conference Series: Materials Science and Engineering (Vol. 846, No. 1, p. 012032). IOP Publishing.
Mairami, F. F., Allotey, P., Warren, N., Mak, J. S., & Reidpath, D. D. (2018). Adaptive invention: independence and mo-bility through modifications. Disability and Rehabilitation: Assistive Technology, 13(7), 658-664.
Noman, A. T., Khan, M. S., Islam, M. E., & Rashid, H. (2018, October). A New Design Approach for Gesture Controlled Smart Wheelchair Utilizing Microcontroller. In 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET) (pp. 64-68). IEEE.
Opoku, M. P., Swabey, K., Pullen, D., & Dowden, T. (2019). Poverty alleviation among persons with disabilities via Unit-ed Nations' sustainable development goals in Ghana: Voices of stakeholders with disabilities. Sustainable Develop-ment, 27(1), 175-182.
Pires, G., Nunes, U., & Castelo-Branco, M. (2012). Comparison of a row-column speller vs. a novel lateral single-character speller: Assessment of BCI for severe motor disabled patients. Clinical Neurophysiology, 123(6), 1168-1181.
Prasad, S., Sakpal, D., Rakhe, P., & Rawool, S. (2017, May). Head-motion controlled wheelchair. In 2017 2nd IEEE Inter-national Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 1636-1640). IEEE.
Renuka, K., Harini, R., Balaji, V., & Ashok, N. (2021, March). Raspberry Pi based Multi-optional Wireless Wheelchair Control and Gesture Recognized Home Assist System. In IOP Conference Series: Materials Science and Engineer-ing (Vol. 1084, No. 1, p. 012071). IOP Publishing.
Sahoo, S. K., & Choudhury, B. B. (2021). A Fuzzy AHP Approach to Evaluate the Strategic Design Criteria of a Smart Robotic Powered Wheelchair Prototype. In Intelligent Systems: Proceedings of ICMIB 2020 (pp. 451-464). Singapore: Springer Singapore.
Sahoo, S. K., & Goswami, S. S. (2024). Theoretical framework for assessing the economic and environmental impact of water pollution: A detailed study on sustainable development of India. Journal of Future Sustainability, 4(1), 23-34
Sahoo, S., & Choudhury, B. (2022). Optimal selection of an electric power wheelchair using an integrated COPRAS and EDAS approach based on Entropy weighting technique. Decision Science Letters, 11(1), 21-34.
Škraba, A., Stojanović, R., Zupan, A., Koložvari, A., & Kofjač, D. (2015). Speech-controlled cloud-based wheelchair plat-form for disabled persons. Microprocessors and Microsystems, 39(8), 819-828.
Tawil, Y., & Hafez, A. A. (2022, September). Deep Learning Obstacle Detection and Avoidance for Powered Wheelchair. In 2022 Innovations in Intelligent Systems and Applications Conference (ASYU) (pp. 1-6). IEEE.
Thirugnanasambandam, K., RS, R., Loganathan, J., Dumka, A., & V, D. (2021). Optimal path planning for intelligent au-tomated wheelchair using DDSRPSO. International Journal of Pervasive Computing and Communications, 17(1), 109-120.
Upender, P., & Vardhini, P. H. (2020, November). A hand gesture based wheelchair for physically handicapped person with emergency alert system. In 2020 International Conference on Recent Trends on Electronics, Information, Com-munication & Technology (RTEICT) (pp. 232-236). IEEE.
Upender, P., & Vardhini, P. H. (2020, November). A hand gesture based wheelchair for physically handicapped person with emergency alert system. In 2020 International Conference on Recent Trends on Electronics, Information, Com-munication & Technology (RTEICT) (pp. 232-236). IEEE.
Wołoszyn, N., Grzegorczyk, J., Wiśniowska-Szurlej, A., Kilian, J., & Kwolek, A. (2020). Psychophysical health factors and its correlations in elderly wheelchair users who live in nursing homes. International Journal of Environmental Re-search and Public Health, 17(5), 1706.
Yashoda, H. G. M. T., Piumal, A. M. S., Polgahapitiya, P. G. S. P., Mubeen, M. M. M., Muthugala, M. A. V. J., & Jay-asekara, A. G. B. P. (2018, May). Design and development of a smart wheelchair with multiple control interfaces. In 2018 Moratuwa Engineering Research Conference (MERCon) (pp. 324-329). IEEE.
Yenugula, M., Sahoo, S, K., & Goswami, S. S. (2024). Cloud computing for sustainable development: An analysis of envi-ronmental, economic and social benefits. Journal of future sustainability, 4(1), 45-60.