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Controlling a virtual forehand prosthesis using an adaptive and affective Human-Machine Interface

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4 Author(s)
I. Mohammad Rezazadeh ; School of Biomedical Eng., Science and Research Branch, Islamic Azad University, Tehran, Iran ; Smp Firoozabadi ; Smr. Hashemi Golpayegani ; H. Hu

This paper presents the design of an adaptable Human-Machine Interface (HMI) for controlling virtual forearm prosthesis. Direct physical performance measures (obtained score and completion time) for the requested tasks were calculated. Furthermore, bioelectric signals from the forehead were recorded using one pair of electrodes placed on the frontal region of the subject head to extract the mental (affective) measures while performing the tasks. By employing the proposed algorithm and above measures, the proposed HMI can adapt itself to the subject's mental states, thus improving the usability of the interface. The quantitative results from 15 subjects show that the proposed HMI achieved better physical performance measures in comparison to a conventional non-adaptive myoelectric controller (p <; 0.001).

Published in:

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Date of Conference:

Aug. 30 2011-Sept. 3 2011