中图分类号： TN99 文献标识码： A DOI：10.16157/j.issn.0258-7998.200147 中文引用格式： 杨海清，钱涛. 基于Kinect的动态姿势识别方法在医疗康复中的应用[J].电子技术应用，2020，46(12)：94-96，102. 英文引用格式： Yang Haiqing，Qian Tao. Application of Kinect-based dynamic posture recognition method in medical rehabilitation[J]. Application of Electronic Technique，2020，46(12)：94-96，102.
Application of Kinect-based dynamic posture recognition method in medical rehabilitation
Yang Haiqing，Qian Tao
School of Information Engineering，Zhejiang University of Technology，Hangzhou 310014，China
Abstract： In the field of three-dimensional virtual experiment, human pose recognition is one of the key technologies. Applying this technology to modern medical treatment can provide certain assistance and promotion for medical rehabilitation. In this study, the Kinect human bone tracking technology is combined with medical rehabilitation. Based on the extensive collection of standard medical rehabilitation actions, a set of standard medical rehabilitation action database is constructed as the basis for comparison with the data collected by sensors. In order to improve the stability of joint angle measurement and the accuracy of pose recognition, a method of pose determination based on the Euclidean distance and angle between joint points is proposed. The results show that through the application of this technology, the recognition rate of posture is high, and the feedback can be given in time for the rehabilitation training of the trainer, which makes the movement evaluation and guidance for the trainer more convenient and efficient, and is conducive to the development of medical science and technology, with the promotion value.
Key words : human-computer interaction；gesture recognition；medical rehabilitation