Web: http://arxiv.org/abs/2205.04668

May 11, 2022, 1:11 a.m. | Jien-De Sui, Wei-Han Chen, Tzyy-Yuang Shiang, Tian-Sheuan Chang

cs.LG updates on arXiv.org arxiv.org

Previous gait phase detection as convolutional neural network (CNN) based
classification task requires cumbersome manual setting of time delay or heavy
overlapped sliding windows to accurately classify each phase under different
test cases, which is not suitable for streaming Inertial-Measurement-Unit (IMU)
sensor data and fails to adapt to different scenarios. This paper presents a
segmentation based gait phase detection with only a single six-axis IMU sensor,
which can easily adapt to both walking and running at various speeds. The
proposed …

arxiv real-time segmentation time wearable

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