IoT Based Smart Wheelchair System
Abstract
Keywords: Microcontroller, inaudible sensors, smart wheelchair
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Chaugule, A. IOT: Architecture, Applications and Challenges. (2019). Journal of Engineering Technologies and Innovative Research (JETIR), 6(2).
Shaheen, H., Himabindu, E., Sreenivasulu, T., Rangasamy, R. (2018). An IoT Based System to Detect a Person/Wheelchair Fall. International Journal of Engineering & Technology, 7(3.20).
Kokila, P., Sharmila, R., Sheril, P., Karthik, G.R., Ramkumar, M. Audio controlled wheelchair using ARDUINO. International Journal of Intellectual Advancements and Research in Engineering Computations. 6(1).
Joseph, C., Aswin, S., & Prasad, J. S. (2019, March). Voice and gesture controlled wheelchair. In 2019 3rd International Conference on Computing Methodologies and Communication (ICCMC) (pp. 29-34). IEEE.
Lee, Y., Kim, J., Son, M., & Lee, M. (2007, August). Implementation of accelerometer sensor module and fall detection monitoring system based on wireless sensor network. In 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 2315-2318). IEEE.
Mohd Aizam, M. A., Mohamad Hadis, N. S., & Abdullah, S. (2020). IoT-based smart wheelchair system for physically impaired person. ESTEEM Academic Journal, 16, 59-73.
Leaman, J., La, H. M., & Nguyen, L. (2016, September). Development of a smart wheelchair for people with disabilities. In 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) (pp. 279-284). IEEE.
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