Keystroke Recognition Using WiFi Signals

This is nothing new. Wifi signals have been used to detect objects, people and animals, gait analysis[1], read keystrokes[2], monitor breathing and heart rates[3], "hear" conversations[4], etc for at least a decade now. https://news.ycombinator.com/item?id=12353605 https://www.theatlantic.com/technology/archive/2016/08/wi-fi... https://archive.is/XnHUV 1: https://ieeexplore.ieee.org/document/7457075 2: https://dl.acm.org/doi/10.1145/2789168.2790109 3: https://archive.is/mFSDq 4: https://archive.is/sNVcM

More on Wi-Fi RF sensing: 2014, "We Can Hear You with Wi-Fi!", https://dl.acm.org/doi/abs/10.1145/2639108.2639112 2015, "Keystroke Recognition Using WiFi Signals", https://dl.acm.org/doi/abs/10.1145/2789168.2790109 2022, "Human Biometric Signals Monitoring based on WiFi Channel State Information using Deep Learning", https://arxiv.org/abs/2203.03980

2015 paper, https://dl.acm.org/doi/abs/10.1145/2789168.2790109 > We implemented the WiKey system using a TP-Link TL-WR1043ND WiFi router and a Lenovo X200 laptop. WiKey achieves more than 97.5% detection rate for detecting the keystroke and 96.4% recognition accuracy for classifying single keys. In real-world experiments, WiKey can recognize keystrokes in a continuously typed sentence with an accuracy of 93.5%. More papers on keystroke recognition: https://scholar.google.com/scholar?hl=en&as_sdt=5%2C31&sciod... 60Ghz mmWave radar (coming to Wi-Fi via 802.11ay) has higher resolution, shorter range and low ability to penetrate building walls, but can pass through unshielded windows: https://news.ycombinator.com/item?id=30172647.