FMG-Based Body Motion Registration Using Piezoelectret Sensors

Li, Xiangxin1,2; Zhuo, Qifang1,2; Zhang, Xu1,3; Samuel, Oluwarotimi Williams1,2; Xia, Zeyang1; Zhang, Xiaoqing5; Fang, Peng1,4; Li, Guanglin1

2016

1557-170X

2016 38TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)

4626-4629

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Body motion registration can provide plenty of muscle activity information of human beings, which is applicable in the control of human-computer interfaces or real devices. Forcemyography (FMG) is a method to register real-time body motions by measuring the radially directed force distributions that are generated by muscle contractions. In this work, we recorded FMG maps by using a novel type of sensor, the polymer-based piezoelectrets. With five piezoelectret sensor units attached on the surface of thigh muscles, four basic lower-limb motions, leg-raising, leg-dropping, knee-extension, and knee-flexion, were properly captured on four able-bodied subjects. Motion classification accuracies of 92.9%, 84.8%, and 88.1% were obtained by using different recognition algorithms of KNN, LDA, and ANN, respectively. The pilot experimental results demonstrated the feasibility of FMG recording by using piezoelectret sensors, which may provide an alternative method for body motion registration.

其他

英语

CPCI-S

Shenzhen Technology Development Grant[CXZZ20150505093829781]

Engineering

Engineering, Biomedical ; Engineering, Electrical & Electronic

WOS:000399823504239

Web of Science

1.Chinese Acad Sci, Key Lab Human Machine Intelligence Synergy Syst, Shenzhen Inst Adv Technol, Shenzhen 518055, Peoples R China
2.Univ Chinese Acad Sci, Shenzhen Coll Adv Technol, Shenzhen 518055, Peoples R China
3.South Univ Sci & Technol China, Dept Biol, Shenzhen 518055, Peoples R China
4.South China Univ Technol, Natl Engn Res Ctr Tissue Regenerat & Reconstruct, Sch Mat Sci & Engn, Guangzhou 510641, Guangdong, Peoples R China
5.Tongji Univ, Sch Phys & Engn, Shanghai 200092, Peoples R China

Li, Xiangxin,Zhuo, Qifang,Zhang, Xu,et al. FMG-Based Body Motion Registration Using Piezoelectret Sensors[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2016:4626-4629.