An Edge Device for Personal Big Data Tracking

Abstract

In this paper, we present our design of a smart wristband, iFit, which runs our customized operating system to monitor the wearer's daily activities. The smart wristband consists of a 3-axis gyroscope and a 3-axis accelerometer which records the user's motion data as six-axis time series data. We train a pattern model for different activities, such as walking, running and playing badminton. So iFit can automatically detect the types of ongoing sports and record a precise calorie consumption based on user's personal profile (e.g., weight and height).