​Real-time Fitness Assistance via WiFi

Project Description

Workers cannot dedicate appropriate time during the day to travel to dedicated exercise places. Instead, they perform their exercise in an office/home environment. Unfortunately, it is difficult to analyze their form while doing their exercises without incurring the significant cost of a personal trainer or the discomfort of smart sensors on their person. Our solution is a device-free personalized fitness assistant that analyzes the channel state information of existing WiFi infrastructure.

When completed, our system will differentiate individuals when they are performing an exercise and assess the workout in real time. To detect individuals, we plan on using a deep neural network (DNN) with two layers: one to differentiate between exercises, and one deeper layer to differentiate individuals. To assess the workout, we will analyze the workout quality and provide a workout review for individuals to improve their exercises.