PCA & HMM Based Arm Gesture Recognition Using Inertial Measurement Unit

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	PCA & HMM Based Arm Gesture Recognition Using Inertial Measurement Unit
	Zhang YL(张吟龙); Liang W(梁炜); Tan JD(谈金东); Li Y(李杨); Zeng ZM(曾子铭)
	2013
会议名称	8th International Conference on Body Area Networks
会议日期	September 30 - October 2, 2013
会议地点	Boston, MA, USA
关键词	Principal Component Analysis Hidden Markov Model Arm Gesture Recognition Inertial Measurement Unit
页码	193-196
中文摘要	This paper presents a novel arm gesture recognition approach that is capable of recognizing seven commonly used sequential arm gestures based upon the outputs from Inertial Measurement Unit (IMU) integrated with 3-D accelerometer and 3-D gyroscope. Unlike the traditional gesture recognition methods where the states in the gesture sequence are irrelevant, our proposed recognition system is intentionally designed to recognize the meaningful gesture sequence where each gesture state relates to the contiguous states which is applicable in the specific occasions such as the police directing the traffic and the arm-injured patients performing a set of arm gestures for effective rehabilitation. In the proposed arm gesture recognition system, the waveforms of the inertial outputs, i.e., 3-D accelerations and 3-D angular rates are automatically segmented for each arm gesture trace at first. Then we employ the Principal Component Analysis (PCA) - a computationally efficient feature selection method characteristic of compressing the inertial data and minimizing the influences of gesture variations. These selected features from PCA are compared with those standard features stored in pattern templates to acquire the gesture observation sequence that satisfy the Markov property. Finally, the Hidden Markov Model is applied in deducing the most likely arm gesture sequence. The experimental results show that our arm gesture classifier achieves up to 93% accuracy. By comparing with the other published recognition methods, our approach verifies the robustness and feasibility in arm gesture recognition using wearable MEMS sensors.
收录类别	EI
产权排序	1
会议录	Proceedings of the 8th International Conference on Body Area Networks
会议录出版者	ACM
会议录出版地	Brussels, Belgium
语种	英语
ISBN号	978-1-936968-89-3
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/14581]
专题	沈阳自动化研究所_工业控制网络与系统研究室
推荐引用方式 GB/T 7714	Zhang YL,Liang W,Tan JD,et al. PCA & HMM Based Arm Gesture Recognition Using Inertial Measurement Unit[C]. 见:8th International Conference on Body Area Networks. Boston, MA, USA. September 30 - October 2, 2013.