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Output details

11 - Computer Science and Informatics

University of Westminster

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Output 75 of 79 in the submission

Output title

Tracking gestures using a probabilistic Self-Organising network

Type

E - Conference contribution

DOI

10.1109/IJCNN.2010.5596992

Name of conference/published proceedings

2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, 18-23 July 2010

Volume number

Issue number

First page of article

ISSN of proceedings

1098-7576

Year of publication

2010

URL

http://westminsterresearch.wmin.ac.uk/9715/

Number of additional authors

Additional information

<23>Originality: The paper proposes a low-cost solution that simplifies the tracking and representation of 2D hand gestures in sign language. It has great potential in Virtual Reality Environments (VEs) where user interaction becomes natural.

Significance: This work gained recognition by starting an on-going collaboration with Griffith University and Alicante University on the development of tools that allow users to naturally explore and manipulate volume visualisation tasks using the Kinect sensor. We have also organised successfully special sessions for WCCI'2010, IWANN'2011, IJCNN'2012 and IPR'2012.

Rigour: Mathematical analysis supports all major findings. Results published in a leading, peer-reviewed conference.

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