System and method for processing wireless backscattered signal using artificial intelligence processing for activities of daily life

Abstract

In an example, the technique also detects and measures vital signs of each human target by continuous, non-intrusive method. In an example, the vital signs of interest include a heart rate and a respiratory rate, which can provide valuable information about the human's wellness. Additionally, the heart rate and respiratory rate can also be used to identify a particular person, if more than two target humans living in a home. Of course, there can be other variations, modifications, and alternatives.

1 . A method of detecting a status of a human being, the method comprising:
 transferring, using a wireless transmitter, a wireless signal being selected from one or more of a frequency being less than about 10 G Hz, 24 G Hz, 60 G Hz, or 77 G Hz and greater;   capturing a back scattered signal from the wireless signal;   processing the back scattered signal to extract one or more of a direction, signal strength, distance, and other information over a time period;   extracting, using a signal processing process, received vital signs of a human, the vital signs including a heart rate, or a respiration rate;   creating a baseline for each of the received vital signs;   extracting, using an AI process, a physical activity of the human being;   creating a physical activity base line for the physical activity;   determining a confidence level of each of the received vital signals and each of the physical activities;   transferring an alert to another target upon a triggering even based upon the confidence level of each of the received vital signals and each of the physical activities; and   correlating each received vital sign, using an artificial intelligence process, with one or more patterns or the base line for each of the received vital signs.