Towards a human airbag system using /spl mu/IMU with SVM training for falling-motion recognition

A micro inertial measurement unit (muIMU) which is based on MEMS accelerometers and gyro sensors is developed for real-time recognition of human body motions, specifically falling-down motions caused by slippage. A muIMU measures three-dimensional angular rates and accelerations. With an integrated microcontroller, the overall size of our muIMU is less than 26 mm*20 mm*20 mm. We present our progress on using this muIMU based on support vector machine (SVM) training to recognize falling-motions. The digital sample rate of the micro controller is 200 Hz which ensures rapid reaction to short falling time and also gives a sufficient data information for SVM recognition. Experimental results show that our system can achieve a lateral falling-motion recognition rate of 100% using selected eigenvector sets generated from 200 experimental sets. Our goal is to implement this system to a human airbag system designed to protect hip fractures of the elderly

[1]  A.H.F. Lam,et al.  MIDS: GUI and TUI in mid-air using MEP sensors , 2002 .

[2]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[3]  Robert B. McGhee,et al.  An inertial navigation system for small autonomous underwater vehicles , 2001, Adv. Robotics.

[4]  Robert B. McGhee,et al.  An improved quaternion-based Kalman filter for real-time tracking of rigid body orientation , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[5]  C. Baudoin,et al.  Clinical outcomes and mortality after hip fracture: a 2-year follow-up study. , 1996, Bone.

[6]  Yunhui Liu,et al.  MIDS: micro input devices system using MEMS sensors , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Tong Zhang,et al.  An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods , 2001, AI Mag..

[8]  Yunhui Liu,et al.  Motion sensing for robot hands using MIDS , 2003, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422).

[9]  K. Michaëlsson,et al.  External hip protectors to prevent osteoporotic hip fractures , 1997, The Lancet.

[10]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[11]  Keinosuke Fukunaga,et al.  Introduction to Statistical Pattern Recognition , 1972 .

[12]  Ming-Hsuan Yang,et al.  Gender classification with support vector machines , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[13]  Xiaoping Yun,et al.  An inertial navigation system for small autonomous underwater vehicles , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).