Recognition of human periodic movements from unstructured information using a motion-based frequency domain approach

Recognition of human periodic movements from unstructured information using a motion-based frequency domain approach

Feature-based motion cues play an important role in biological visual perception. We present a motion-based frequency-domain scheme for human periodic motion recognition. As a baseline study of feature based recognition we use unstructured feature-point kinematic data obtained directly from a marker...

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Bibliographic Details
Main Authors: Qinggang Meng, Baihua Li, Horst Holstein
Format: Default Article
Published: 2006
Subjects:
Artificial intelligence not elsewhere classified
Other information and computing sciences not elsewhere classified
Human periodic motion classification
Motion-based recognition
Gait analysis
Visual perception
Moving light displays (MLDs)
Motion power spectral analysis
Artificial Intelligence and Image Processing
Information and Computing Sciences not elsewhere classified
Online Access:https://hdl.handle.net/2134/20259
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Internet

https://hdl.handle.net/2134/20259

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