Breath detection from Wi-Fi signal
In its studies, the US Institute of Standards and Technology (NIST) has developed an algorithm that detects the breathing status of a person by detecting changes in Wi-Fi signals. Thus, it can be understood whether the person has any respiratory distress.
The researchers noticed that the signals transmitted from device to device in the home have a certain standard, but their behavior changes when they hit certain obstacles. Using this, he came up with a detection algorithm.
The algorithm can run on any modem or router, and the data is processed on the device’s software. Afterwards, it will be possible to pull this data with an application. The system can process signals 10 times per second. A success of 99.5 percent was achieved in the project. Normally such studies are available but require special sensors and network devices. Also, the accuracy rate is low. In this respect, NIST thinks it has taken an important step. Efforts are continuing to make the project for the end user.