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

dc.citedby6
dc.contributor.authorNeoh D.en_US
dc.contributor.authorMohamed Sahari K.S.en_US
dc.contributor.authorWan Ibrahim W.Z.F.en_US
dc.contributor.authorid56942483000en_US
dc.contributor.authorid57218170038en_US
dc.contributor.authorid57209266911en_US
dc.date.accessioned2023-05-29T06:51:39Z
dc.date.available2023-05-29T06:51:39Z
dc.date.issued2018
dc.descriptionIntelligent computing; Intelligent systems; Open source software; Soft computing; Arduino; Dataglove; Gesture; Hardware design; Open-source hardwares; Sign language; Sign Language recognition; SIMPLE algorithm; Open systemsen_US
dc.description.abstractIn 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8716178
dc.identifier.doi10.1109/SCIS-ISIS.2018.00157
dc.identifier.epage949
dc.identifier.scopus2-s2.0-85067115397
dc.identifier.spage946
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85067115397&doi=10.1109%2fSCIS-ISIS.2018.00157&partnerID=40&md5=1cdb7ce882c4743df31a4b8bfb2fa69c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23764
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleProceedings - 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems, SCIS-ISIS 2018
dc.titleA dataglove hardware design and real-time sign gesture interpretation.en_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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