Guness, S.P., Deravi, Farzin, Sirlantzis, Konstantinos, Pepper, Matthew G., Sakel, Mohamed (2013) A Novel Depth-based Head Tracking and Gesture Recognition System. In: 12th European AAATE (Association for the Advancement of Assistive Technology in Europe) Conference. Assistive Technology Research Series Volume 33, Assistive Technology: From Research to Practice , 33. pp. 1021-1026. IOS Press EBooks (doi:10.3233/978-1-61499-304-9-1021) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:53303)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
Official URL: http://dx.doi.org/10.3233/978-1-61499-304-9-1021 |
Abstract
This paper presents the architecture for a novel RGB-D based assistive device that incorporates depth as well as RGB data to enhance head tracking and facial gesture based control for severely disabled users. Using depth information it is possible to remove background clutter and therefore achieve a more accurate and robust performance. The system is compared with the CameraMouse, SmartNav and our previous 2D head tracking system. For the RGB-D system, the effective throughput of dwell clicking increased by a third (from 0.21 to 0.30 bits per second) and that of blink clicking doubled (from 0.15 to 0.28 bits per second) compared to the 2D system.
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.3233/978-1-61499-304-9-1021 |
Subjects: | T Technology > TJ Mechanical engineering and machinery > Intelligent control systems |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Konstantinos Sirlantzis |
Date Deposited: | 14 Dec 2015 01:25 UTC |
Last Modified: | 05 Nov 2024 10:40 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/53303 (The current URI for this page, for reference purposes) |
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