IFC: Your invisible fitness coach based on csi sensing

Exercise is of vital importance to people's health. Nowadays, more and more people trend to involve in it at home for lacking time and accelerating pace of modern life. However, many of them have difficulties in obtaining good performance due to the lack of professional guidance. For helping users with effective fitness evaluation in home environment and encouraging them to keep exercising, this paper presents a non-invasive, low-cost and high-precision fitness assistance system based on the commercial WIFI device. The IFC(Invisible Fitness Coach) system applies the CSI(Channel State Information) signal to perceive the user's exercise information in home, and accurately divides the continuous actions via the principal component variance, and then extracts the features from each completed action to train a multi-class SVM model to recognize them, finally, it analyzes the user's exercise frequency, intensity, duration, etc., then feeds back the comprehensive analysis based on the above features to him/her. The results of the experiment including 2160 workout samples from 6 volunteers shows that the continuous motion segmentation precision and accuracy of the system reached 94.8% and 96.5%, and the recognition rate of the activity reached 92.2%. To evaluate the IFC system, we record and analyze the fitness situation of a volunteer for one month. After the tracking experiment, the indicators of his exercise have observably been improved comparing with those one month ago. Experiments show that the IFC system can be applied as an individual family fitness coach in home environment.