Wireless Non-invasive Motion Tracking of Functional Behavior ✩ Heng Zhang a,* , Jan Smeddinck b , Rainer Malaka c , Yao Shu a , Chong Chen a , Bo He a , Zengjun Fu a , Michael Lawo d a College of Computer and Information Science, Southwest University,China b International Computer Science Institute, Berkeley, CA, USA c TZI Digital Media Lab, University of Bremen, Germany d TZI Artificial Intelligence Lab, University of Bremen, Germany Abstract The prevalence of a sedentary lifestyle is a major contributor to many chronic afflictions in modern society. Objective study and monitoring to gain an accu- rate understanding of situated sedentary behavior, for example when at home, present considerable challenges, e.g. regarding ecological validity. Non-intrusive monitoring based on Wi-Fi signals provides a new way to gain insights into pop- ulations that are at risk of the negative effects of a sedentary lifestyle, or who are already in functional rehabilitation. In this paper we describe a tracking tech- nology for everyday activities that consists of two parts: (1) recognizing general physical activity, as well as the activities of common classes; and (2) measur- ing the statistical duration of these recognized categories. Employing common commercial Wi-Fi equipment, we performed validation studies in a typical noisy family home environment, achieving the following key results: (1) a recognition rate of the general presence of physical activity of 99.05%, an average recog- nition rate of 92% when detecting four common classes of activities; and (2) Kappa coefficient analysis to evaluate the consistency of the statistical duration of the automatic activity detection based on Wi-Fi signals and manually coded activity detection based on camera recordings. The coefficient for the presence ✩ This work is supported by the Major transverse project , under grant SWU41015718 and SWU20710953. * Corresponding author Email address: dahaizhangheng@163.com (Heng Zhang) Preprint submitted to Journal of L A T E X Templates November 16, 2018