ESTIMATION OF RELATIVELY COMMANDED FORCE FROM EMG AND ITS APPICATION TO HUMAN-MACHINE INTERFACES

Masato Watanabe, Yasuhiro Yamamoto, Kumiyo Nakakoji, Hiroyuki Kambara, Yasuharu Koike
Abstract:
In this paper we present a novel calibration method for an electromyogram (EMG) based human-machine interface which estimates force. EMG based interfaces need a calibration process in which musculoskeletal model parameters are determined for each individual user. Most conventional calibration methods which relate EMG signals to force magnitude require not only EMG measurement devices but also force sensors. Our goal here is to develop a calibration method that requires only EMG measurement devices. In our method, users are asked to apply stepwise force indicated by visual or auditory information. With a multiple linear regression model, the EMG magnitude is then related to that of the indicated force, instead of the force being measured by force sensors. With the users showing strong ability to exert linearly graded force, the force estimations of the linear regression model fit well with the indications, and estimated force correlated well with that of actual measured force.
Keywords:
force estimation, electromyogram (EMG), human-machine interface
Download:
IMEKO-WC-2009-TC18-106.pdf
DOI:
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Event details
Event name:
XIX IMEKO World Congress
Title:

Fundamental and Applied Metrology

Place:
Lisbon, PORTUGAL
Time:
06 September 2009 - 11 September 2009