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

Rezazadeh, IM and Firoozabadi, S and Golpayegani, SH and Hu, H (2011) Controlling a virtual forehand prosthesis using an adaptive and affective Human-Machine Interface. In: UNSPECIFIED, ? - ?.

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Abstract

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). © 2011 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 19 Dec 2014 10:46
Last Modified: 11 Dec 2019 00:15
URI: http://repository.essex.ac.uk/id/eprint/9175

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