Gait motion analysis based on WB-4 sensor with quaternion algorithm
conference contributionposted on 02.08.2017 by Chunbao Wang, Tongyang Sun, Lihong Duan, Quanquan Liu, Zhijiang Lu, Meng Li, Pengfang Chen, Chengdong Wei, Anxin Hou, Yajing Shen, Qihong Liu, Jian Qin, Weiguang Li, Qing Shi, Yulong Wang, Jianjun Long, Jianjun Wei, Massimiliano Zecca, Zhengzhi Wu
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Up to now, with the increasing of the elderly population, more and more patients are suffering from hemiplegia. The needs for hemiplegic rehabilitation is increasing quickly. As traditional rehabilitation, each patient must be treated by therapist, one by one. However, because of the different levels of therapists, the rehabilitation cannot be performed as the as the same. Normally, the rehabilitation status diagnosing is still be performed by therapists with the subjective experience. It caused the inhomogeneity on rehabilitation evaluation. It also sometimes causes negative influence on the rehabilitation effect. To solve these problems, many researches focusing on assessing the status of the hemiplegic patients quantitatively are proposed rehabilitation evaluation systems. Rehabilitation motion detection is the basis of the evaluation system, and it requires the participation of therapist. In this paper, a method is presented to detect lower limb motion of hemiplegic patients based on inertial sensor technology. The gesture quaternion of lower limb can be obtained through LPMS. With the matrix and Euler angle changing algorithm, combining with the simplified lower limb motion model, the rotation angle of joint can be computed. Finally, the curve of rotation angle of knee is established.
Research supported by Shenzhen Honkong Joint research Project (No.SGLH20150211093607169); Postdoctoral Science Foundation of China (No. 2015M580759); Technology Research Foundation of Basic Research Project of Shenzhen (JCYJ20150330102401102, JCYJ20150401171152771); Science and Technology Department of Guangdong(2014A020215004ˈ 2016A020220001); Guangxi Key Scientific and Technological Project (1598013-12).
- Mechanical, Electrical and Manufacturing Engineering