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The outline of people’s bodies can be detected from Wi-Fi signals

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

By Alex Wilkins

25 January 2023

Comparison of real pose and poses determined only from using Wi-Fi signals — 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 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 and installation.

Now, …

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