However, the window length is generally randomly selected without systematic study. Data segmentation using a sliding window is a basic step during the HAR procedure, wherein the window length directly affects recognition performance. Different approaches have been proposed and applied to HAR. Human activity recognition (HAR) is essential for understanding people’s habits and behaviors, providing an important data source for precise marketing and research in psychology and sociology.
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