OMG: Introducing optical myography as a new human machine interface for hand amputees

Nissler C, Mouriki N, Castellini C, Navab N, Belagiannis V (2015)

Publication Type: Conference contribution

Publication year: 2015

Journal

IEEE ... International Conference on Rehabilitation Robotics : [proceedings] Institute of Electrical and Electronics Engineers Inc.

Publisher: IEEE Computer Society

Book Volume: 2015-September

Pages Range: 937-942

Conference Proceedings Title: IEEE International Conference on Rehabilitation Robotics

Event location: Singapore SG

ISBN: 9781479918072

DOI: 10.1109/ICORR.2015.7281324

Abstract

Given the recent progress in the development of computer vision, it is nowadays possible to optically track features of the human body with unprecedented precision. We take this as a starting point to build a novel human-machine interface for the disabled. In this particular work we explore the possibility of visually inspecting the human forearm to detect what fingers are moving, and to what extent. In particular, in a psychophysical experiment with ten intact subjects, we tracked the deformations of the surface of the forearm to try and reconstruct intended finger motions. Ridge Regression was used for the reconstruction. The results are highly promising, leading to an average error in the range of 0.13 to 0.2 (normalized root mean square error). If further successfully tested in the large, this approach could represent a fully fledged alternative / replacement to similar traditional interfaces such as, e.g., surface electromyography.

Authors with CRIS profile

Claudio Castellini
Vasileios Belagiannis

Involved external institutions

Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR) / German Aerospace Center DE Germany (DE) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Nissler, C., Mouriki, N., Castellini, C., Navab, N., & Belagiannis, V. (2015). OMG: Introducing optical myography as a new human machine interface for hand amputees. In David Braun, Haoyong Yu, Domenico Campolo (Eds.), IEEE International Conference on Rehabilitation Robotics (pp. 937-942). Singapore, SG: IEEE Computer Society.

MLA:

Nissler, Christian, et al. "OMG: Introducing optical myography as a new human machine interface for hand amputees." Proceedings of the 14th IEEE/RAS-EMBS International Conference on Rehabilitation Robotics, ICORR 2015, Singapore Ed. David Braun, Haoyong Yu, Domenico Campolo, IEEE Computer Society, 2015. 937-942.

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