Abstract
Objective To develop Smart Shoes with obstacle detection system for visually impaired people. Method The obstacle detection system adopts a triple-axis accelerometer to collect feet’s acceleration data, and uses an ultrasonic sensor to detect obstacles. The system is controlled by STM32L432KC (a microcontroller from STMicroelectronics), and powered by a Lithium-ion battery that can be recharged either by a charger or by walking. A gait events recognition algorithm is proposed to detect the motion state of feet. Obstacles are detected only when users are walking with foot in stance (ST) phase. Moreover if a fall is detected, the Smart Shoes will connect to the cellphone and call the emergency contacts. Results The overall recognition ratio of the gait events was 90.9%, the ratio of walking, jiggling and fall (simulated) were 91%, 88.5% and 100% respectively. The detection resolution of Smart Shoes depends on the ultrasonic sensor. User’s average obstacles detection distance are all above 50 mm, and for each user the detection distance is proportional to the obstacles’ dimension. Conclusion Experimental results indicate that the Smart Shoes performs stably in real-time, and has high detection accuracy with low false-alarm rate.
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Wu, W., Lei, N., Tang, J. (2021). Smart Shoes for Obstacle Detection. In: Liu, Q., Liu, X., Shen, T., Qiu, X. (eds) The 10th International Conference on Computer Engineering and Networks. CENet 2020. Advances in Intelligent Systems and Computing, vol 1274. Springer, Singapore. https://doi.org/10.1007/978-981-15-8462-6_151
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DOI: https://doi.org/10.1007/978-981-15-8462-6_151
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