Abstract
Walking is a very important activity in human life which reduces many problems related to blood pressure regulation and heart diseases, but osteoarthritis patients suffer from mobility deficiency. The smart walking assistance (SWA) device was developed for mobility assistance. It is necessary to identify the intended direction of the user by the SWA device. While walking in the intended direction, human body reflects certain forearm movement, which can be recognized in terms of force. In this work, a method was proposed to identify the direction for the movement according to the forces exerted by the user’s forearms, which are acknowledged by the force-sensitive resistor (FSR) placed on the walker’s armrest. Depending on the FSR outputs in the range of 0–1023 scaled by Arduino, an algorithm was implemented for the direction control of the walker-based threshold. The user intended direction was validated by the experiment and monitored using MATLAB.
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References
Pal CP, Singh P, Chaturvedi S, Pruthi KK, Vij A (2016) Epidemiology of knee osteoarthritis in India and related factors. Indian J Orthop 50(5):518
Jiang Y, Wang S (2010) Directional intention identification for running control of an omni-directional walker. In: International conference on fuzzy systems, IEEE, pp 1–8
Hashimoto H, Sasaki A, Ohyama Y, Ishii C (2006) Walker with hand haptic interface for spatial recognition. In: 9th IEEE international workshop on advanced motion control, pp 311–316
Yuk G, Chang YY, Park H, Dan BJ, Chang, WS (2013) Smart walker development based on experts’ feedback for elderly and disabled. In: 10th International conference on ubiquitous robots and ambient intelligence (URAI), pp 552–553
Jiang Y, Wang S, Ishida K, Kobayashi Y, Fujie MG (2012) User directional intention identification for a walking support walker: adaptation to individual differences with fuzzy learning. In: 6th international conference on soft computing and intelligent systems, and 13th international symposium on advanced intelligence systems. IEEE, pp 1207–1210
Eakman AM, Havens MD, Ager SJ, Buchanan RL, Fee NJ, Gollick SG, Stevenson KA (2002) Fall prevention in long-term care: an in-house interdisciplinary team approach. Top Geriatr Rehabil 17(3):29–39
Craven R, Bruno P (1986) Teach the elderly to prevent falls. J Gerontol Nurs 12(8):27–33
Bradley SM, Hernandez CR (2011) Geriatric assistive devices. Am Fam Phys 84(4)
Hirata Y, Baba T, Kosuge K (2003) Motion control of omni-directional type walking support system. In: Walking helper, proceedings of IEEE workshop on robot and human interactive communication, vol 2, no A5
Li N, Yang D, Jiang L, Liu H, Cai H (2012) Combined use of FSR sensor array and SVM classifier for finger motion recognition based on pressure distribution map. J Bio Eng 9(1):39–47
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Vasage, A., Padhye, O., Kulkarni, G., Kerkar, S., Kumar, M. (2020). Force Sensitive Resistor Based Design and Modeling of Smart Walking Assistance Device by Axial Direction Control for Osteoarthritis. In: Vasudevan, H., Kottur, V., Raina, A. (eds) Proceedings of International Conference on Intelligent Manufacturing and Automation. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-15-4485-9_40
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DOI: https://doi.org/10.1007/978-981-15-4485-9_40
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