Development of 9-Axis Sensor-Based Motion Extraction Program for Generating a Motion Accuracy Determination Factor of the Personal Training

People steadily exercising for health maintenance and improvement are recently on the rise. Especially, people are highly interested in personal training (PT) that has no spatial restriction and that can maximize exercise effects for the short-term. However, it is important to maintain accurate exercise postures to prevent injuries and improve exercise effects in doing PT exercise. This study designs and implements a motion extraction program in which motion data can be acquired and analyzed through multi 9-axis motion sensors attached to user's body and accuracy judgement can be supported for each exercise. The proposed program collects the acceleration, gyro, and magnetometer data of each x, y, and z axis by attaching 9-aix motion sensors to various parts of human body. And Then selects specific intervals on preparatory, intermediate, and finishing postures accompanied using many movements in exercise, and calculates quaternion data-based Euler angles. Euler angles are extracted from major body parts in terms of exercises in which angle maintenance is important, and they are calculated as each exercise factor that can be used for PT exercise accuracy judgment.