Towards Deep Learning based Hand Keypoints Detection for Rapid\n Sequential Movements from RGB Images Article Swipe
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1804.01174
Hand keypoints detection and pose estimation has numerous applications in\ncomputer vision, but it is still an unsolved problem in many aspects. An\napplication of hand keypoints detection is in performing cognitive assessments\nof a subject by observing the performance of that subject in physical tasks\ninvolving rapid finger motion. As a part of this work, we introduce a novel\nhand key-points benchmark dataset that consists of hand gestures recorded\nspecifically for cognitive behavior monitoring. We explore the state of the art\nmethods in hand keypoint detection and we provide quantitative evaluations for\nthe performance of these methods on our dataset. In future, these results and\nour dataset can serve as a useful benchmark for hand keypoint recognition for\nrapid finger movements.\n
Related Topics To Compare & Contrast
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1804.01174
- https://arxiv.org/pdf/1804.01174
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4299797077