Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
We focus on the problem of estimating human hand-tremor frequency from input RGB video data. Estimating tremors from video is important for non-invasive monitoring, analyzing and diagnosing patients suffering from motor-disorders such as Parkinson’s disease. We consider two approaches for hand-tremor frequency estimation: (a) a Lagrangian approach where we detect the hand at every frame in the video, and estimate the tremor frequency along the trajectory; and (b) an Eulerian approach where we first localize the hand, we subsequently remove the large motion along the movement trajectory of the hand, and we use the video information over time encoded as intensity values or phase information to estimate the tremor frequency. We estimate hand tremors on a new human tremor dataset, TIM-Tremor, containing static tasks as well as a multitude of more dynamic tasks, involving larger motion of the hands. The dataset has 55 tremor patient recordings together with: associated ground truth accelerometer data from the most affected hand, RGB video data, and aligned depth data.
Original language | English |
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Title of host publication | Computer Vision |
Subtitle of host publication | ECCV 2018 Workshops, Proceedings |
Editors | Laura Leal-Taixé, Stefan Roth |
Place of Publication | Cham |
Publisher | Springer |
Pages | 213-228 |
Number of pages | 16 |
Edition | Part VI |
ISBN (Electronic) | 978-3-030-11024-6 |
ISBN (Print) | 978-303011023-9 |
DOIs | |
Publication status | Published - 2019 |
Event | 15th European Conference on Computer Vision, ECCV 2018 - Munich, Germany Duration: 8 Sep 2018 → 14 Sep 2018 |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11134 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 15th European Conference on Computer Vision, ECCV 2018 |
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Country | Germany |
City | Munich |
Period | 8/09/18 → 14/09/18 |
ID: 51682936