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Active vision for tremor disease monitoring
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID.ORCID iD: 0000-0003-3779-5647
2015 (English)In: 6TH INTERNATIONAL CONFERENCE ON APPLIED HUMAN FACTORS AND ERGONOMICS (AHFE 2015) AND THE AFFILIATED CONFERENCES, AHFE 2015, Elsevier, 2015, 2042-2048 p.Conference paper (Refereed)
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
Elsevier, 2015. 2042-2048 p.
Keyword [en]
Active vision, Tremors, SIFT, Motion estimation, Motion tracking
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:kth:diva-197063DOI: 10.1016/j.promfg.2015.07.252ISI: 000383740302022OAI: oai:DiVA.org:kth-197063DiVA: diva2:1052679
Conference
6th International Conference on Applied Human Factors and Ergonomics (AHFE), JUL 26-30, 2015, Las Vegas, NV
Note

QC 20161207

Available from: 2016-12-07 Created: 2016-11-28 Last updated: 2016-12-07Bibliographically approved

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Li, Haibo
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