A dataglove hardware design and real-time sign gesture interpretation.

Tze How Dickson Neoh; Khairul Salleh Mohamed Sahari; Wan Zul Fahmi Wan Ibrahim

doi:10.1109/SCIS-ISIS.2018.00157

A dataglove hardware design and real-time sign gesture interpretation.

Tze How Dickson Neoh, Khairul Salleh Mohamed Sahari, Wan Zul Fahmi Wan Ibrahim

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this work, we attempt to design a dataglove to assist sign language users communicate with non-users. We focus our work on designing a low cost dataglove using open source hardware and software. We run algorithms on the micro controller to interpret basic gestures and phrases. The interpretation results are sent wirelessly to a bluetooth enabled smartphone to be displayed on screen. We benchmark the interpretation accuracy on three different users. Our results show that most basic sign gestures can be interpreted rather accurately using only simple algorithms.

Original language	English
Title of host publication	Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	946-949
Number of pages	4
ISBN (Electronic)	9781538626337
DOIs	https://doi.org/10.1109/SCIS-ISIS.2018.00157
Publication status	Published - 02 Jul 2018
Event	Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 - Toyama, Japan Duration: 05 Dec 2018 → 08 Dec 2018

Publication series

Name	Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018

Conference

Conference	Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
Country	Japan
City	Toyama
Period	05/12/18 → 08/12/18

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Logic
Artificial Intelligence
Computational Theory and Mathematics
Computer Science Applications
Theoretical Computer Science

Access to Document

10.1109/SCIS-ISIS.2018.00157

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Dickson Neoh, T. H., Mohamed Sahari, K. S., & Wan Ibrahim, W. Z. F. (2018). A dataglove hardware design and real-time sign gesture interpretation. In Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018 (pp. 946-949). [8716178] (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCIS-ISIS.2018.00157

Dickson Neoh, Tze How ; Mohamed Sahari, Khairul Salleh ; Wan Ibrahim, Wan Zul Fahmi. / A dataglove hardware design and real-time sign gesture interpretation. Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 946-949 (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018).

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abstract = "In this work, we attempt to design a dataglove to assist sign language users communicate with non-users. We focus our work on designing a low cost dataglove using open source hardware and software. We run algorithms on the micro controller to interpret basic gestures and phrases. The interpretation results are sent wirelessly to a bluetooth enabled smartphone to be displayed on screen. We benchmark the interpretation accuracy on three different users. Our results show that most basic sign gestures can be interpreted rather accurately using only simple algorithms.",

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Dickson Neoh, TH , Mohamed Sahari, KS & Wan Ibrahim, WZF 2018, A dataglove hardware design and real-time sign gesture interpretation. in Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018., 8716178, Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018, Institute of Electrical and Electronics Engineers Inc., pp. 946-949, Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018, Toyama, Japan, 05/12/18. https://doi.org/10.1109/SCIS-ISIS.2018.00157

A dataglove hardware design and real-time sign gesture interpretation. / Dickson Neoh, Tze How ; Mohamed Sahari, Khairul Salleh; Wan Ibrahim, Wan Zul Fahmi.

Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 946-949 8716178 (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - In this work, we attempt to design a dataglove to assist sign language users communicate with non-users. We focus our work on designing a low cost dataglove using open source hardware and software. We run algorithms on the micro controller to interpret basic gestures and phrases. The interpretation results are sent wirelessly to a bluetooth enabled smartphone to be displayed on screen. We benchmark the interpretation accuracy on three different users. Our results show that most basic sign gestures can be interpreted rather accurately using only simple algorithms.

AB - In this work, we attempt to design a dataglove to assist sign language users communicate with non-users. We focus our work on designing a low cost dataglove using open source hardware and software. We run algorithms on the micro controller to interpret basic gestures and phrases. The interpretation results are sent wirelessly to a bluetooth enabled smartphone to be displayed on screen. We benchmark the interpretation accuracy on three different users. Our results show that most basic sign gestures can be interpreted rather accurately using only simple algorithms.

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Dickson Neoh TH , Mohamed Sahari KS, Wan Ibrahim WZF. A dataglove hardware design and real-time sign gesture interpretation. In Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 946-949. 8716178. (Proceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018). https://doi.org/10.1109/SCIS-ISIS.2018.00157