Wi-Fi CSI can be converted into 2D skeleton poses by a transformer encoder-decoder, and those poses support fall detection with about 90% accuracy in a 20-person in-house dataset.
Lidarcapv2: 3d human pose estimation with human–object interaction from lidar point clouds,
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WiFi based Human Fall and Activity Recognition using Transformer based Encoder Decoder and Graph Neural Networks
Wi-Fi CSI can be converted into 2D skeleton poses by a transformer encoder-decoder, and those poses support fall detection with about 90% accuracy in a 20-person in-house dataset.