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This project uses an array of ESP32s and some clever calibration techniques to do pretty accurate localisation of WiFi signals. There's an excellent companion

This project uses an array of ESP32s and some clever calibration techniques to do pretty accurate localisation of WiFi signals. There's an excellent companion video here: https://www.youtube.com/watch?v=sXwDrcd1t-E https://www.youtube.com/watch?v=sXwDrcd1t-E

transpute 2y ago
This educational visualization will be helpful as WiFi 7 Sensing comes to consumer routers and NPU/AI laptops, rendering home and business walls transparent to human activity like typing, breathing & more. "Inside a $1 radar motion sensor", 100 comments, https://news.ycombinator.com/item?id=40834349 https://news.ycombinator.com/item?id=40834349 https://www.cnx-software.com/2022/08/08/esp-wifi-csi-detects-humans-with-wifi-signals-only-no-sensor-needed/ https://www.cnx-software.com/2022/08/08/esp-wifi-csi-detects... > Espressif claims it can also capture subtle movements caused by small movements such as breathing and chewing of people or animals in a static environment.. works with all ESP32 series microcontrollers including ESP32, ESP32-S2, and ESP32-C3, and does not require any changes to the hardware 24Ghz/60Ghz mmWave sensors for finer resolution, https://www.dfrobot.com/product-2795.html https://www.dfrobot.com/product-2795.html
- zimpenfish 2y ago
  I've got a 60Ghz mmWave sensor mounted above my bed (at the suggested distance and orientation) and it has been terrible at detecting sleep / heart rate / breathing. Reasonably good at detecting presence though. Maybe there's some tuning/calibration can be done but I've not seen anything about that.
  - transpute 2y ago
    RF sensor has to be coupled with activity-specific ML models for detection. Google Scholar has hundreds of academic papers on wireless sensing with machine learning, targeting specific activities. Commercially, Google Nest Hub 2nd gen includes mmWave sensor for sleep tracking.

transpute 2y ago

This educational visualization will be helpful as WiFi 7 Sensing comes to consumer routers and NPU/AI laptops, rendering home and business walls transparent to human activity like typing, breathing & more. "Inside a $1 radar motion sensor", 100 comments, https://news.ycombinator.com/item?id=40834349 https://news.ycombinator.com/item?id=40834349 https://www.cnx-software.com/2022/08/08/esp-wifi-csi-detects-humans-with-wifi-signals-only-no-sensor-needed/ https://www.cnx-software.com/2022/08/08/esp-wifi-csi-detects... > Espressif claims it can also capture subtle movements caused by small movements such as breathing and chewing of people or animals in a static environment.. works with all ESP32 series microcontrollers including ESP32, ESP32-S2, and ESP32-C3, and does not require any changes to the hardware 24Ghz/60Ghz mmWave sensors for finer resolution, https://www.dfrobot.com/product-2795.html https://www.dfrobot.com/product-2795.html

zimpenfish 2y ago
I've got a 60Ghz mmWave sensor mounted above my bed (at the suggested distance and orientation) and it has been terrible at detecting sleep / heart rate / breathing. Reasonably good at detecting presence though. Maybe there's some tuning/calibration can be done but I've not seen anything about that.
- transpute 2y ago
  RF sensor has to be coupled with activity-specific ML models for detection. Google Scholar has hundreds of academic papers on wireless sensing with machine learning, targeting specific activities. Commercially, Google Nest Hub 2nd gen includes mmWave sensor for sleep tracking.