Predicting finger force from surface electromyography to reduce the response time in a force tracking task.
Published: 2005
Language: eng
Number of pages: 91
Description: The purpose of this work was to develop a control system that utilises somatosensory evoked potentials (SEPs) and myoelectric signals to augment the ability for manual control through a haptic interface. Although the results concerning SEPs were inconclusive, surface electromyography (EMG) could be used to circumvent the electromechanical time delay associated with muscular contraction during finger movements. Utilizing the properties of surface EMG, a predictive EMG-force model was developed to predict finger force 50 ms before the impending motion. By combining the predictive EMG-force model with the measured finger force (F), an EMG + F system was developed to augment finger control through a man-machine interface. The EMG input reduced the latencies involved in transmitting motor commands to the interface and improved the responsiveness of the system during abrupt movements. The experimental results suggest that the EMG + F system can be used in practical real-time man-machine interface applications.
Notes: Source: Masters Abstracts International, Volume: 44-02, page: 0960.

Thesis (M.A.Sc.)--University of Toronto, 2005.

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