Web: http://arxiv.org/abs/2205.03234

May 9, 2022, 1:11 a.m. | Yi-An Chen, Jien-De Sui, Tian-Sheuan Chang

cs.LG updates on arXiv.org arxiv.org

Gait phase detection with convolution neural network provides accurate
classification but demands high computational cost, which inhibits real time
low power on-sensor processing. This paper presents a segmentation based gait
phase detection with a width and depth downscaled U-Net like model that only
needs 0.5KB model size and 67K operations per second with 95.9% accuracy to be
easily fitted into resource limited on sensor microcontroller.

arxiv deep deep learning detection learning model on sensor time

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