The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A state-based approach to the representation and recognition of gesture
Abstract
A state-based technique for the representation and recognition of gesture is presented. We define a gesture to be a sequence of states in a measurement or configuration space. For a given gesture, these states are used to capture both the repeatability and variability evidenced in a training set of example trajectories. Using techniques for computing a prototype trajectory of an ensemble of trajectories, we develop methods for defining configuration states along the prototype and for recognizing gestures from an unsegmented, continuous stream of sensor data. The approach is illustrated by application to a range of gesture-related sensory data: the two-dimensional movements of a mouse input device, the movement of the hand measured by a magnetic spatial position and orientation sensor, and, lastly, the changing eigenvector projection coefficients computed from an image sequence.
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Cites
Turk, M., & Pentland, A. (1991) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1991.3.1.71 · Cited by 13,733
Recognizing human action in time-sequential images using hidden Markov model
Yamato, J., Ohya, J., & Ishii, K. (2003) · Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1992.223161 · Cited by 1,273
Cited by
A survey on behavior analysis in video surveillance for homeland security applications
Ko, T. (2008) · 2008 37th IEEE Applied Imagery Pattern Recognition Workshop · doi:10.1109/aipr.2008.4906450 · Cited by 209
Kinect-enabled home-based rehabilitation system using Dynamic Time Warping and fuzzy logic
Su, C.-J., Chiang, C.-Y., & Huang, J.-Y. (2014) · Applied Soft Computing · doi:10.1016/j.asoc.2014.04.020 · Cited by 149
Expectation grammars: leveraging high-level expectations for activity recognition
Minnen, D., Essa, I., & Starner, T. (2003) · 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. · doi:10.1109/cvpr.2003.1211525 · Cited by 110
Metadata
- Authors
- Bobick, A. F., & Wilson, A. D.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1997
- Volume
- 19
- Issue
- 12
- Pages
- 1325-1337
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2134518303
- Cited by
- 281
- References
- 2
- FWCI
- 8.36
- Type
- journal article
- Language
- en
- Open access
- closed
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