This invention describes a system that identifies people by their unique walking patterns using wireless signals. It works by sending out a wireless signal, like a radar, into a room and then listening for the reflections off objects and people. By analyzing subtle changes in these reflected signals over time, the system can detect a person's presence, extract their specific gait features, and then recognize who they are, specifically using Frequency Modulated Carrier Waves on millimeter wave frequencies.
Why it matters: Since 2021, integrated millimeter wave radar chips have become more accessible and cost-effective. Advances in machine learning also simplify the complex gait feature extraction and identity recognition.
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