Signal processing of accelerometers for motion capture of human body

인체 동작 인식을 위한 가속도 센서의 신호 처리

  • Lee, Ji-Hong (Dept. of Mechatronics Engineering, Chungnam National University) ;
  • Ha, In-Soo (Dept. of Mechatronics Engineering, Chungnam National University)
  • 이지홍 (충남대학교 메카트로닉스공학과) ;
  • 하인수 (충남대학교 메카트로닉스공학과)
  • Published : 1999.11.01

Abstract

In this paper we handle a system that transform sensor data to sensor information. Sensor informations from redundant accelerometers are manipulated to represent the configuration of objects carrying sensors. Basic sensor unit of the proposed systme is composed of 3 accelerometers that are aligned along x-y-z coordination axes of motion. To refine the sensor information, at first the sensor data are fused by geometrical optimization to reduce the variance of sensor information. To overcome the error caused from inexact alignment of each sensor to the coordination system, we propose a calibration technique that identifies the transformation between the coordinate axes and real sensor axes. The calibration technique make the sensor information approach real value. Also, we propose a technique that decomposes the accelerometer data into motion acceleration component and gravity acceleration component so that we can get more exact configuration of objects than in the case of raw sensor data. A set of experimental results are given to show the usefulness of the proposed method as well as the experiments in which the proposed techniques are applied to human body motion capture.

Keywords

References

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