Abstract
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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.