Grassmann manifold based dynamic hand gesture recognition using depth data

Bindu Verma; Ayesha Choudhary

doi:10.1007/s11042-019-08266-w

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Grassmann manifold based dynamic hand gesture recognition using depth data

Bindu Verma Ayesha Choudhary

Year: 2019 Journal: Multimedia Tools and Applications Vol: 79 (3-4)Pages: 2213-2237 Publisher: Springer Science+Business Media

DOI: 10.1007/s11042-019-08266-w

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Keywords:

Computer science Gesture Artificial intelligence Gesture recognition Computer vision Linear subspace Pattern recognition (psychology) Data set Feature vector Set (abstract data type) Feature (linguistics) Mathematics

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1.10

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0.78

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Topics

Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Grassmann manifold based dynamic hand gesture recognition using depth data

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Citation History

Topics

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