A dataglove hardware design and real-time sign gesture interpretation.
Intelligent computing; Intelligent systems; Open source software; Soft computing; Arduino; Dataglove; Gesture; Hardware design; Open-source hardwares; Sign language; Sign Language recognition; SIMPLE algorithm; Open systems
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| Format: | Conference Paper |
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Institute of Electrical and Electronics Engineers Inc.
2023
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| _version_ | 1833351759332900864 |
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| author | Neoh D. Mohamed Sahari K.S. Wan Ibrahim W.Z.F. |
| author2 | 56942483000 |
| author_facet | 56942483000 Neoh D. Mohamed Sahari K.S. Wan Ibrahim W.Z.F. |
| author_sort | Neoh D. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Intelligent computing; Intelligent systems; Open source software; Soft computing; Arduino; Dataglove; Gesture; Hardware design; Open-source hardwares; Sign language; Sign Language recognition; SIMPLE algorithm; Open systems |
| format | Conference Paper |
| id | my.uniten.dspace-23764 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Institute of Electrical and Electronics Engineers Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-237642023-05-29T14:51:39Z A dataglove hardware design and real-time sign gesture interpretation. Neoh D. Mohamed Sahari K.S. Wan Ibrahim W.Z.F. 56942483000 57218170038 57209266911 Intelligent computing; Intelligent systems; Open source software; Soft computing; Arduino; Dataglove; Gesture; Hardware design; Open-source hardwares; Sign language; Sign Language recognition; SIMPLE algorithm; Open systems 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. � 2018 IEEE. Final 2023-05-29T06:51:39Z 2023-05-29T06:51:39Z 2018 Conference Paper 10.1109/SCIS-ISIS.2018.00157 2-s2.0-85067115397 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067115397&doi=10.1109%2fSCIS-ISIS.2018.00157&partnerID=40&md5=1cdb7ce882c4743df31a4b8bfb2fa69c https://irepository.uniten.edu.my/handle/123456789/23764 8716178 946 949 Institute of Electrical and Electronics Engineers Inc. Scopus |
| spellingShingle | Neoh D. Mohamed Sahari K.S. Wan Ibrahim W.Z.F. A dataglove hardware design and real-time sign gesture interpretation. |
| title | A dataglove hardware design and real-time sign gesture interpretation. |
| title_full | A dataglove hardware design and real-time sign gesture interpretation. |
| title_fullStr | A dataglove hardware design and real-time sign gesture interpretation. |
| title_full_unstemmed | A dataglove hardware design and real-time sign gesture interpretation. |
| title_short | A dataglove hardware design and real-time sign gesture interpretation. |
| title_sort | dataglove hardware design and real-time sign gesture interpretation. |
| url_provider | http://dspace.uniten.edu.my/ |