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dc.contributor.authorChen, Hui
dc.contributor.authorBallal, Tarig
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.date.accessioned2019-08-21T13:40:04Z
dc.date.available2019-08-21T13:40:04Z
dc.date.issued2019-08-15
dc.identifier.citationChen, H., Ballal, T., & Al-Naffouri, T. (2019). A Decomposition Approach for Complex Gesture Recognition Using DTW and Prefix Tree. 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). doi:10.1109/vr.2019.8797868
dc.identifier.doi10.1109/vr.2019.8797868
dc.identifier.urihttp://hdl.handle.net/10754/656575
dc.description.abstractGestures are effective tools for expressing emotions and conveying information to the environment. Sequence matching and machine-learning based algorithm are two main methods to recognize continuous gestures. Machine-learning based recognition systems are not flexible to new gestures because the models have to be trained again. On the other hand, the computational time that matching methods required increases with the complexity and the class of the gestures. In this work, we propose a decomposition approach for complex gesture recognition utilizing DTW and prefix tree. This system can recognize 100 gestures with an accuracy of 97.38%.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8797868/
dc.rightsArchived with thanks to 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
dc.subjectGesture Recognition
dc.subjectTime Sequence
dc.subjectDTW
dc.subjectPrefix Tree
dc.subjectHuman-machine-interaction
dc.subjectHuman-centered computing-Human computer interaction (HCI)-HCI design and evaluation methods-Gestural input
dc.titleA Decomposition Approach for Complex Gesture Recognition Using DTW and Prefix Tree
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.conference.date23-27 March 2019
dc.conference.name2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
dc.conference.locationOsaka, Japan
dc.eprint.versionPost-print
kaust.personChen, Hui
kaust.personBallal, Tarig
kaust.personAl-Naffouri, Tareq Y.
refterms.dateFOA2019-08-21T13:58:00Z
dc.date.published-online2019-08-15
dc.date.published-print2019-03


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