Toward Natural Gesture/Speech Control of a Large Display

dc.creatorKettebekov, S.
dc.creatorSharma, R.
dc.date2001-05-17
dc.date.accessioned2026-07-07T03:17:09Z
dc.date.available2026-07-07T03:17:09Z
dc.descriptionIn recent years because of the advances in computer vision research, free hand gestures have been explored as means of human-computer interaction (HCI). Together with improved speech processing technology it is an important step toward natural multimodal HCI. However, inclusion of non-predefined continuous gestures into a multimodal framework is a challenging problem. In this paper, we propose a structured approach for studying patterns of multimodal language in the context of a 2D-display control. We consider systematic analysis of gestures from observable kinematical primitives to their semantics as pertinent to a linguistic structure. Proposed semantic classification of co-verbal gestures distinguishes six categories based on their spatio-temporal deixis. We discuss evolution of a computational framework for gesture and speech integration which was used to develop an interactive testbed (iMAP). The testbed enabled elicitation of adequate, non-sequential, multimodal patterns in a narrative mode of HCI. Conducted user studies illustrate significance of accounting for the temporal alignment of gesture and speech parts in semantic mapping. Furthermore, co-occurrence analysis of gesture/speech production suggests syntactic organization of gestures at the lexical level.
dc.descriptionEngineering for Human-Computer Interaction (EHCI'01),Toronto, Canada. May 11-14, 2001. Lecture Notes in Computer Science, Springer Verlag. 14 pages
dc.identifierhttps://arxiv.org/abs/cs/0105026
dc.identifierhttp://arxiv.org/abs/cs/0105026
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30618
dc.subjectComputer Vision and Pattern Recognition
dc.subjectHuman-Computer Interaction
dc.subjectH.5.2; I.5.4; I.2.7
dc.titleToward Natural Gesture/Speech Control of a Large Display
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