Rajeev Sharma mainly investigates Artificial intelligence, Human–computer interaction, Gesture recognition, Interface and Gesture. He combines subjects such as Computer vision and Pattern recognition with his study of Artificial intelligence. In the field of Computer vision, his study on Face model, Projection and Augmented reality overlaps with subjects such as Set and Demographics.
His Pattern recognition study combines topics in areas such as Optical flow and Facial expression. The study incorporates disciplines such as Modality, Visual computing and Virtual reality in addition to Gesture recognition. In his works, Rajeev Sharma performs multidisciplinary study on Gesture and Process.
His primary scientific interests are in Artificial intelligence, Computer vision, Robot, Human–computer interaction and Gesture. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Pattern recognition. His study in Computer vision is interdisciplinary in nature, drawing from both Robot control and Motion control.
In the subject of general Robot, his work in Motion planning and Robotics is often linked to Coding, thereby combining diverse domains of study. The Gesture recognition research Rajeev Sharma does as part of his general Gesture study is frequently linked to other disciplines of science, such as Deixis and Set, therefore creating a link between diverse domains of science. His study explores the link between Gesture recognition and topics such as Natural language processing that cross with problems in Prosody.
Microbiology, Pasteurella multocida, Geospatial analysis, Crisis management and Isolation are his primary areas of study. His research in the fields of Typing overlaps with other disciplines such as Filamentous haemagglutinin adhesin. Pasteurella multocida combines with fields such as Biochemistry, Bacterial outer membrane, Polyacrylamide gel electrophoresis, Pasteurella multocida serotype and Extraction in his investigation.
His Geospatial analysis study spans across into subjects like Emergency management, Relevance, Human–computer interaction, Immediacy and Risk management. Crisis management is integrated with Geovisualization, Process management, Mobile device, Analytics and Information access in his research. Rajeev Sharma performs integrative study on Isolation and Molecular identification in his works.
His primary areas of investigation include Crisis management, Geospatial analysis, Speech recognition, Linear classifier and Face detection. He integrates many fields in his works, including Crisis management, Geovisualization, Risk management, Immediacy, Human–computer interaction and Relevance. Along with Geospatial analysis, other disciplines of study including Emergency management, Knowledge management, User-centered design, Work and Interoperability are integrated into his research.
His Speech recognition study integrates concerns from other disciplines, such as Optical flow, Facial recognition system and Facial expression.
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Visual interpretation of hand gestures for human-computer interaction: a review
V.I. Pavlovic;R. Sharma;T.S. Huang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (1997)
Toward multimodal human-computer interface
R. Sharma;V.I. Pavlovic;T.S. Huang.
Proceedings of the IEEE (1998)
Recognition of facial expressions and measurement of levels of interest from video
M. Yeasin;B. Bullot;R. Sharma.
IEEE Transactions on Multimedia (2006)
Designing a human-centered, multimodal GIS interface to support emergency management
Ingmar Rauschert;Pyush Agrawal;Rajeev Sharma;Sven Fuhrmann.
advances in geographic information systems (2002)
Speech-gesture driven multimodal interfaces for crisis management
R. Sharma;M. Yeasin;N. Krahnstoever;I. Rauschert.
Proceedings of the IEEE (2003)
Enabling collaborative geoinformation access and decision‐making through a natural, multimodal interface
Alan M. MacEachren;Guoray Cai;Rajeev Sharma;Ingmar Rauschert.
International Journal of Geographical Information Science (2005)
Interactive evaluation of assembly sequences using augmented reality
V. Raghavan;J. Molineros;R. Sharma.
international conference on robotics and automation (1999)
From facial expression to level of interest: a spatio-temporal approach
M. Yeasin;B. Bullot;R. Sharma.
computer vision and pattern recognition (2004)
A real-time framework for natural multimodal interaction with large screen displays
N. Krahnstoever;S. Kettebekov;M. Yeasin;R. Sharma.
international conference on multimodal interfaces (2002)
Motion perceptibility and its application to active vision-based servo control
R. Sharma;S. Hutchinson.
international conference on robotics and automation (1997)
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