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Machine learning can analyse how the signals from Wi-Fi transmitters are disrupted by human bodies to reveal what position people are sitting, standing or lying in
Comparison of real poses and poses determined only from using Wi-Fi signals arxiv.org/abs/2301.00250
A person’s bodily outline can be worked out from the pattern of Wi-Fi signals moving across a room, which could help monitor older people at risk of hurting themselves if they fall or enable the detection of home intruders.
Indoor cameras and radar-based technologies can both be used to detect a person’s body shape or what position they are in, but these can introduce a privacy risk, such as a camera feed being hacked, or involve specialised hardware …