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A wearable inertial sensor system for human motion analysis Tao Liu Robotics and Dynamics Lab Kochi University of Technology 2005-6-29 6th IEEE International.

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Presentation on theme: "A wearable inertial sensor system for human motion analysis Tao Liu Robotics and Dynamics Lab Kochi University of Technology 2005-6-29 6th IEEE International."— Presentation transcript:

1 A wearable inertial sensor system for human motion analysis Tao Liu Robotics and Dynamics Lab Kochi University of Technology th IEEE International Symposium on Computational Intelligence in Robotics and Automation

2 IntroductionIntroduction Some application fields of human motion analysis Human dynamic analysis Functional electrical stimulation (FES) Humanoid robot

3 Research Background  Some human motion analysis systems have been developed, but are complicated and expensive for product developments.  In this research, a six-D reaction force sensor had been finished, and the wearable motion analysis system is constructed for the dynamic analysis of human walking.  A more compact measurement system with intelligent computation methods will be the focused problem in this research. IntroductionIntroduction

4 Methods and Materials Hardware Description Gyro: ENC-03J Accelerometer: ADXL202 A/D converter card with 14 bit resolution

5 Ay ωyωy Ax ωxωx Y: Gyro X: Gyro Two-axis Accelerometer 70mm 100mm Hardware Description Base board of inertial sensors Methods and Materials

6 Hardware Description Wearable motion measurement device with inertial sensors Methods and Materials

7 The Gait Phase Analysis Methods  Gait phases of a normal walking  Physical sense of each gait phase  Introduce the Fuzzy inference system into the detection of gait phases  Post-process of the FIS outputs (Pointer digital filter design)  The optical motion analysis system (In next step to validate above inference) Methods and Materials

8 The Gait Phase Analysis Methods Toe-rotation Swing Heel-rotation Stance  Gait phases of a normal walking Methods and Materials

9 The Gait Phase Analysis Methods  Physical sense of each gait phases ωyωy x ωxωx y z ωx: X-Rotational angular velocity ωy: Y-Rotational angular velocity Ax: X-Acceleration Ay: Y-Acceleration If ωx=0 AND ωy =0 AND Ax=0 AND Ay=0 Then ‘Stance Phase’; If ωy<0 AND Ax≠0 AND Ay≠0 Then ‘Swing Phase’; If ωy>0 AND Ax≠0 AND Ay≠0 Then If the case is before the ‘Swing Phase’ of the same walking cycle Then ‘Toe-rotation Phase’ Else ‘Heel-rotation Phase’. Methods and Materials

10 The Gait Phase Analysis Methods  Introduction of Fuzzy Inference System (FIS) Mamdani method is used in this FIS In this FIS, four inputs and one output were designed Methods and Materials

11 The Gait Phase Analysis Methods Fuzzy InputDe-fuzzy Output  Introduction of Fuzzy Inference System (FIS) Methods and Materials

12 The Gait Phase Analysis Methods  Introduction of Fuzzy Inference System (FIS) Rules Designed for the FIS Methods and Materials If ωx=0 AND ωy =0 AND Ax=0 AND Ay=0 Then ‘Stance Phase’; If ωy<0 AND Ax≠0 AND Ay≠0 Then ‘Swing Phase’; If ωy>0 AND Ax≠0 AND Ay≠0 Then If the case is before the ‘Swing Phase’ of the same walking cycle Then ‘Toe-rotation Phase’ Else ‘Heel-rotation Phase’.

13 The Gait Phase Analysis Methods  Introduction of Fuzzy Inference System (FIS) Results View The FIS is developed by using MATLAB Methods and Materials

14 The Gait Phase Analysis Methods  Post-process of the FIS outputs (Pointer digital filter design) Output of FIS Last filter result Methods and Materials

15 The Gait Phase Analysis Methods  The optical motion analysis system Knee marker Heel marker Toe marker Methods and Materials Ankle marker Hi-Dcam High speed camera by NAC

16 Experiment Study  Data sampling of two-axis Gyroscope and two-axis accelerometer  Gait phases analysis results in two walking tasks  Validating the analysis results using the optical motion analysis system

17  Data sampling of two-axis Gyroscope and two-axis accelerometer Experiment Study

18  Gait phases analysis results of an object Experiment Study

19  Validating the analysis results using the optical motion analysis system Experiment Study

20 Experimental Results Analysis and Conclusion  The wearable inertial sensors system can be used for foot-motion analysis;  A fuzzy inference system was used on the detection of gait phase.  A digital point filter was design for the results data processing.  The results of gait phases analysis can be used for next step dynamic analysis when a reaction force measurement system is integrated into this analysis system.

21 Thank You


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