Recognition of 3D arm movements using neural networks

Mu Chun Su; Hai Huang; Yu Xiang Zhao; Hsuen Fan Chen; Yi Yuan Chen

Recognition of 3D arm movements using neural networks

Mu Chun Su, Hai Huang, Yu Xiang Zhao, Hsuen Fan Chen, Yi Yuan Chen

Department of Computer Science and Information Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

There are many different approaches to recognition of spatio-temporal patterns. Each has its own merits and disadvantages. In this paper we present a neural-network-based approach to spatio-temporal pattern recognition. The effectiveness of this method is evaluated by recognizing 3D arm movements involved in Taiwanese Sign Language (TSL).

Original language	English
Pages	4259-4262
Number of pages	4
State	Published - 1999
Event	International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA Duration: 10 Jul 1999 → 16 Jul 1999

Conference

Conference	International Joint Conference on Neural Networks (IJCNN'99)
City	Washington, DC, USA
Period	10/07/99 → 16/07/99

Cite this

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title = "Recognition of 3D arm movements using neural networks",

abstract = "There are many different approaches to recognition of spatio-temporal patterns. Each has its own merits and disadvantages. In this paper we present a neural-network-based approach to spatio-temporal pattern recognition. The effectiveness of this method is evaluated by recognizing 3D arm movements involved in Taiwanese Sign Language (TSL).",

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T1 - Recognition of 3D arm movements using neural networks

AU - Su, Mu Chun

AU - Huang, Hai

AU - Zhao, Yu Xiang

AU - Chen, Hsuen Fan

AU - Chen, Yi Yuan

PY - 1999

Y1 - 1999

N2 - There are many different approaches to recognition of spatio-temporal patterns. Each has its own merits and disadvantages. In this paper we present a neural-network-based approach to spatio-temporal pattern recognition. The effectiveness of this method is evaluated by recognizing 3D arm movements involved in Taiwanese Sign Language (TSL).

AB - There are many different approaches to recognition of spatio-temporal patterns. Each has its own merits and disadvantages. In this paper we present a neural-network-based approach to spatio-temporal pattern recognition. The effectiveness of this method is evaluated by recognizing 3D arm movements involved in Taiwanese Sign Language (TSL).

UR - http://www.scopus.com/inward/record.url?scp=0033346053&partnerID=8YFLogxK

M3 - 會議論文

AN - SCOPUS:0033346053

SP - 4259

EP - 4262

Y2 - 10 July 1999 through 16 July 1999

ER -

Recognition of 3D arm movements using neural networks

Abstract

Conference

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