Abstract:The Wi-Fi-based human activity recognition shows immense potential, as it is device-free, non-intrusive to privacy, and low-cost. However, current learning-based recognition methods mostly adopt the hybrid representation without distinguished contributions of features to different activities, which will be seriously affected by environment variations and interference of other persons, and costly to extend to new activities. Therefore, this paper proposes HR-HAR, a hierarchical relation representation for human… Show more
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