Thumb-tip force estimation from sEMG and a musculoskeletal model for real-time finger prosthesis

Won Il Park, Sun Cheol Kwon, Hae Dong Lee, Jung Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Due to the difficulties in measurement of muscle activities and the complex musculoskeletal structure, estimations of the thumb-tip force in real time have been a challenge for controlling artificial prosthesis naturally. This study describes an isometric thumb-tip force estimation technique based on phenomenological muscle model named Hill's model. The surface electromyogram (sEMG) signals of the muscles near surface were measured and converted to muscle activation information. The activations of deep muscles were inferred from the ratios of muscle activations from earlier study. The muscle length of each contributed muscle was obtained by using motion capture system and musculoskeletal modeling software packages. Once muscle forces were calculated, thumb-tip force was estimated based on mapping model from the muscle force to thumb-tip force. The proposed method was evaluated in comparisons with an artificial neural network (ANN) under four different thumb configurations to investigate the potential for estimations under conditions in which the thumb configuration changes. The results seem to be promising and the proposed method could be applied to predict finger-tip forces from non-invasive neurosignals with a real-time prosthesis control system.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009
Pages305-310
Number of pages6
DOIs
Publication statusPublished - 2009 Nov 17
Event2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009 - Kyoto, Japan
Duration: 2009 Jun 232009 Jun 26

Publication series

Name2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009

Other

Other2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009
CountryJapan
CityKyoto
Period09/6/2309/6/26

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All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Park, W. I., Kwon, S. C., Lee, H. D., & Kim, J. (2009). Thumb-tip force estimation from sEMG and a musculoskeletal model for real-time finger prosthesis. In 2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009 (pp. 305-310). [5209518] (2009 IEEE International Conference on Rehabilitation Robotics, ICORR 2009). https://doi.org/10.1109/ICORR.2009.5209518