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Dynamic time warping for off-line recognition of a small gesture vocabulary
Abstract
We focus on the visual sensory information to recognize human activity in form of hand-arm movements from a small, predefined vocabulary. We accomplish this task by means of a matching technique by determining the distance between the unknown input and a set of previously defined templates. A dynamic time warping algorithm is used to perform the time alignment and normalization by computing a temporal transformation allowing the two signals to be matched. The system is trained with finite video sequences of single gesture performances whose start and end-point are accurately known. Preliminary experiments are accomplished off-line and result in a recognition accuracy of up to 92%.
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Bellman, R. E. (2010) · doi:10.1515/9781400835386 · Cited by 14,588
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Miao, Q., Li, Y., Ouyang, W., Ma, Z., Xu, X., Shi, W., & Cao, X. (2017) · 2017 IEEE International Conference on Computer Vision Workshops (ICCVW) · doi:10.1109/iccvw.2017.360 · Cited by 168
Kinect-enabled home-based rehabilitation system using Dynamic Time Warping and fuzzy logic
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A Unified Framework for Quality Indexing and Classification of Seismocardiogram Signals
Zia, J., Kimball, J., Hersek, S., Shandhi, M. M. H., Semiz, B., & Inan, O. T. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2931348 · Cited by 48
“ysis, including gait classification [24] and small gesture recognition [25].”
Background
Metadata
- Authors
- Corradini, A.
- Venue
- Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
- Publisher
- IEEE Comput. Soc
- Published
- 2002-11-13
- Pages
- 82-89
- OpenAlex
- W2134450328
- Cited by
- 173
- References
- 1
- FWCI
- 2.07
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Corradini, A. (2002). Dynamic time warping for off-line recognition of a small gesture vocabulary. Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems. https://doi.org/10.1109/ratfg.2001.938914
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