Event-based sampling for reducing communication load in realtime human motion analysis by wireless inertial sensor networks

Current Directions in Biomedical Engineering

Seel Thomas¹  Laidig Daniel¹  Trimpe Sebastian² 

[1] Control Systems Group, TU Berlin,Germany;Max Planck Institute for Intelligent Systems, Tübingen,Germany;

关键词: adaptive sampling;    event-based sampling;    human motion analysis;    imu;    inertial sensor networks;    send-on-area;    send-on-delta;   

DOI  :  10.1515/cdbme-2016-0154

来源: DOAJ

【 摘 要 】

We examine the usefulness of event-based sampling approaches for reducing communication in inertial-sensor-based analysis of human motion. To this end we consider realtime measurement of the knee joint angle during walking, employing a recently developed sensor fusion algorithm. We simulate the effects of different event-based sampling methods on a large set of experimental data with ground truth obtained from an external motion capture system. This results in a reduced wireless communication load at the cost of a slightly increased error in the calculated angles. The proposed methods are compared in terms of best balance of these two aspects. We show that the transmitted data can be reduced by 66% while maintaining the same level of accuracy.

【 授权许可】

Unknown