Analysis System for Dumbbell Curl Exercise based on Wireless Sensor Networks

Recently, many people are interested in physical exercises to manage their body-build and to achieve diet effect for body. For this purpose, u-Wellness systems are introduced based on intelligent sensor systems. However, the existing u-Wellness systems only focus on the outdoor exercises like walking, running, and bi-cycling. The u-Wellness system study for indoor exercises exploiting sensor systems is not enough. In this paper, Based on the wireless sensor networks, an exercise monitoring system is implemented for the dumbbell curl among weight-training. It measures the number of dumbbell curl action and the amount of energy expenditure during the exercising time. With triaxial accelerometer sensors. the proposed system transforms the rotation information of dumbbell curl into three angle data. As the proposed system applies the zero-crossing and threshold algorithm with the angle data, it calculates the total number of dumbbell curl actions. We estimate amount of energy expenditure based on the measured dumbbell curl number and rotation velocity. With the experimental data of multiple participators, we evaluate the cognition rate of dumbbell curl analysis algorithm.