R
Rajeev Sharma
Researcher at Pennsylvania State University
Publications - 108
Citations - 5592
Rajeev Sharma is an academic researcher from Pennsylvania State University. The author has contributed to research in topics: Gesture & Gesture recognition. The author has an hindex of 34, co-authored 107 publications receiving 5446 citations. Previous affiliations of Rajeev Sharma include University of Illinois at Urbana–Champaign.
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Journal ArticleDOI
Visual interpretation of hand gestures for human-computer interaction: a review
TL;DR: A fraction of the recycle slurry is treated with sulphuric acid to convert at least some of the gypsum to calcium sulphate hemihydrate and the slurry comprising hemihYDrate is returned to contact the mixture of phosphate rock, phosphoric acid and recycle Gypsum slurry.
Journal ArticleDOI
Toward multimodal human-computer interface
TL;DR: It is clear that further research is needed for interpreting and fitting multiple sensing modalities in the context of HCI and the fundamental issues in integrating them at various levels, from early signal level to intermediate feature level to late decision level.
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Recognition of facial expressions and measurement of levels of interest from video
TL;DR: A spatio-temporal approach in recognizing six universal facial expressions from visual data and using them to compute levels of interest was presented and was found to be consistent with "ground truth" information in most of the cases.
Proceedings ArticleDOI
Designing a human-centered, multimodal GIS interface to support emergency management
TL;DR: The research reported upon here attempts to overcome analyst-driven, menu-controlled, keyboard and mouse operated GIS by designing a multimodal, multi-user GIS interface that puts geospatial data directly in the hands of decision makers.
Journal ArticleDOI
Speech-gesture driven multimodal interfaces for crisis management
Rajeev Sharma,Mohammed Yeasin,N. Krahnstoever,Ingmar Rauschert,Guoray Cai,Isaac Brewer,Alan M. MacEachren,Kuntal Sengupta +7 more
TL;DR: The importance of multimodal interfaces in various aspects of crisis management is established and many issues in realizing successful speech-gesture driven, dialogue-enabled interfaces for crisis management are explored.