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Active Vision for Tremor Disease Monitoring
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics. (Digital Media Lab)
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2015 (English)In: Procedia Manufacturing, ISSN 1873-6580, E-ISSN 2212-0173, Vol. 3, 2042-2048 p.Article in journal (Refereed) Published
Abstract [en]

The aim of this work is to introduce a prototype for monitoring tremor diseases using computer vision techniques.  While vision has been previously used for this purpose, the system we are introducing differs intrinsically from other traditional systems. The essential difference is characterized by the placement of the camera on the user’s body rather than in front of it, and thus reversing the whole process of motion estimation. This is called active motion tracking. Active vision is simpler in setup and achieves more accurate results compared to traditional arrangements, which we refer to as “passive” here. One main advantage of active tracking is its ability to detect even tiny motions using its simple setup, and that makes it very suitable for monitoring tremor disorders. 

Place, publisher, year, edition, pages
2015. Vol. 3, 2042-2048 p.
Keyword [en]
Active vision, Tremors, SIFT, Motion estimation, Motion tracking
National Category
Computer Vision and Robotics (Autonomous Systems) Computer Science
URN: urn:nbn:se:umu:diva-109206DOI: 10.1016/j.promfg.2015.07.252OAI: diva2:855949
6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015)
Available from: 2015-09-22 Created: 2015-09-22 Last updated: 2016-02-23Bibliographically approved

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Halawani, Alaaur Réhman, ShafiqLi, Haibo
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