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A Prospective Approach for Human-to-Human Interaction Recognition from Wi-Fi Channel Data using Attention Bidirectional Gated Recurrent Neural Network with GUI Application Implementation. (arXiv:2202.08146v3 [cs.LG] UPDATED)
stat.ML updates on arXiv.org arxiv.org
Recent advances in 5G wireless technology and socioeconomic transformation
have brought a paradigm shift in sensor applications. Wi-Fi signal demonstrates
a strong correlation between its temporal variation and body movements, which
can be leveraged to recognize human activity. In this article, we demonstrate
the cognitive ability of device free mutual human-to-human interaction
recognition method based on the time scale Wi-Fi channel state information. The
mutual activities examined are steady-state, approaching, departing,
handshaking, high-five, hugging, kicking (left-leg), kicking (right-leg),
pointing (left-hand), …
application arxiv attention data gui human implementation lg network neural network recurrent neural network wi-fi