Gesture recognition using recurrent neural networks

K. Murakami, Hitomi Taguchi · International Conference on Human Factors in Computing Systems · 1991

Summary

A gesture recognition method for Japanese sign language which can recognize continuous gesture is described and a recurrent neural network is used to deal with dynamic processes.

Type: article
Published: 1991-03-01
Cited by: 433
References: 5
Access: Open access
DOI: https://doi.org/10.1145/108844.108900
OpenAlex: https://openalex.org/W2073140603
Semantic Scholar: https://api.semanticscholar.org/CorpusID:15935134

Keywords

Computer science, Gesture, Gesture recognition, Recurrent neural network, Artificial neural network

References

Finding Structure in TimeJeffrey L. Elman — 1990
Grasping reality through illusion—interactive graphics serving scienceFrederick P. Brooks — 1988
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundationsDavid E. Rumelhart, James L. McClelland, AU — 1986

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Gesture recognition using recurrent neural networks

Summary

Keywords

References

Cited by

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