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Output details

11 - Computer Science and Informatics

University of Westminster

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Output 1 of 79 in the submission

Output title

3D gesture recognition with growing neural gas

Type

E - Conference contribution

DOI

Name of conference/published proceedings

Proceedings of the International Joint Conference in Neural Networks, IJCNN 2013, 2-9 August 2013, Dallas, USA

Volume number

Issue number

First page of article

3034

ISSN of proceedings

Year of publication

2013

URL

http://westminsterresearch.wmin.ac.uk/12972/

Number of additional authors

Additional information

<23> Originality: This paper extends the growing neural network algorithm to address the correspondence problem and track the motion of 3D points obtained from cloud sequences. The algorithm is applied in the real-time recognition of 3D gestures.

Significance: The work is inspired by the need in medical applications for responsive touch free human-computer interaction for the consultation of visual data. The paper brings together collaborative research from the University of Westminster, University of Alicante, Spain and Griffiths University, Australia.

Rigour: Mathematical modelling of the algorithm followed by extensive experimentation of 3D gestures that include self-occlusion and close finger proximity.

Interdisciplinary

Cross-referral requested

Research group

None

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract