A 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.

Item Type:	Refereed Conference Paper
Keywords:	wireless sensor, body networking,
Research Division:	Information and Computing Sciences
Research Group:	Information Systems
Research Field:	Computer-Human Interaction
Objective Division:	Information and Communication Services
Objective Group:	Computer Software and Services
Objective Field:	Application Tools and System Utilities
Author:	Duh, HBL (Professor Henry Duh)
ID Code:	90337
Year Published:	2008
Deposited By:	Computing and Information Systems
Deposited On:	2014-03-31
Last Modified:	2015-03-04
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