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Sudirman, S, Sophian, A, Za’aba, A, Qurratu’aini, D and Sediono, W (2016) Markerless detection of fingertips of object-manipulating hand. ARPN Journal of Engineering and Applied Sciences, 11 (23). ISSN 1819-6608
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Abstract
Most reported works on fingertip detection focus on extended fingers where the hand is not occluded by another object. This paper proposes a machine-vision-based technique exploiting the contour of the hand and fingers for detecting the fingertips when the hand is manipulating a ball, which means that the fingers are closed and the hand is partially occluded. The preliminary result of our on-going research is promising where it can be used to generate a more objective performance indicator for monitoring the progress during hand therapy by using a digital webcam. Being markerless and contactless, the proposed technique will require minimal preparation prior to the therapy.
| Item Type: | Article |
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| Uncontrolled Keywords: | Fingertip detection; Machine vision; Hand rehabilitation |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science & Mathematics |
| Publisher: | Asian Research Publishing Network (ARPN) |
| Date Deposited: | 05 Jan 2017 11:28 |
| Last Modified: | 04 Sep 2021 12:09 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/5167 |
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