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A wearable, self-calibrating, wireless sensor network for body motion processing
conference contribution
posted on 2023-05-23, 08:48 authored by Lim, KY, Goh, FYK, Dong, W, Nguyen, KD, Chen, I-M, Yeo, SH, Duh, HBL, Kim, CGA novel self-calibrating sensing technology using miniature linear encoders and Inertial/magnetic Measurement Unit (IMU) provides the accuracy, fast response and robustness required by many body motion processing applications. Our sensor unit consists of an accelerometer, a 3-axis magnetic sensor, 2 gyroscopes and a miniature linear encoder. The fusion of data from the sensors is accomplished by extracting the gravity related term from the accelerometer and consistently calibrating the gyroscopes and linear encoder when the sensor unit is under static conditions. Using the fused sensors, we developed a complete motion processing system that consists of a gateway where the human kinematics modeling is embedded. A time divided multiple access wireless architecture is adopted to synchronize the sensor network at 100Hz. Experimental results show that the combination of the IMU and linear encoder produces a low RMS error of 3.5° and correlation coefficient of 99.01%. A video showing the capture a performer’s upper body motion is also realized.
History
Publication title
Proceedings of 2008 IEEE International Conference on Robotics and AutomationEditors
IEEEPagination
1017-1022ISBN
978-1-4244-1647-9Department/School
School of Information and Communication TechnologyPublisher
IEEEPlace of publication
USAEvent title
2008 IEEE International Conference on Robotics and AutomationEvent Venue
Pasadena, USADate of Event (Start Date)
2008-05-19Date of Event (End Date)
2008-05-23Rights statement
Copyright 2008 IEEERepository Status
- Restricted