Obesity Risk Prediction using Wifi based Human Activity Recognition Techniques
Shashwat Singh, Vibhor Rawal, Shivam Garg, Amit Kumar · 2021
WiFi based technologies can be found everywhere and are an integral part of home and work environments. WiFi signals carry information related to the channel they are travelling through. Thus WiFi signals can be used to observe the changes in its vicinity. As WiFi signals are closely integrated with human workplace, the signals is used to observe the human activity in the vicinity of the WiFi routers, that is, the transmitter and the receiver. The activity once correctly identified can be used to store the changes in the activity and how often one performs such activity or is there a sudden change. using these metrics and quantifying the changes can help calculate and predict the heath of the individual and provide better statistics to health professionals to identify any ailment that may have caused a change in the individuals behaviours making them seek medical attention.