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Gesture Recognition : The Gesture Segmentation Problem
1999The gesture segmentation problem is introduced as the first step towards visual gesture recognition i.e. with the detection, analysis and recognition of gestures from sequences of real images. Our gesture segmentation scheme is composed of two steps: accurate gesture contour tracking in space domain, and continuous tracking in time domain. Experimental
M. K. Viblis, Kostas J. Kyriakopoulos
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IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2007
Gesture recognition pertains to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an intelligent and efficient human-computer interface. The applications of gesture recognition are manifold, ranging from sign language through medical rehabilitation to ...
Sushmita Mitra, T. Acharya
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Gesture recognition pertains to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. It is of utmost importance in designing an intelligent and efficient human-computer interface. The applications of gesture recognition are manifold, ranging from sign language through medical rehabilitation to ...
Sushmita Mitra, T. Acharya
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The neural substrate of gesture recognition
Neuropsychologia, 2008Previous studies have linked action recognition with a particular pool of neurons located in the ventral premotor cortex, the posterior parietal cortex and the superior temporal sulcus (the mirror neuron system). However, it is still unclear if transitive and intransitive gestures share the same neural substrates during action-recognition processes. In
Mirta, Villarreal +7 more
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An overview of gesture recognition
2012 6th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT), 2012The visual interpretation of gestures provides the most natural and intuitive interaction. However its implementation remains very difficult. Consequently gesture recognition research tries to developing systems that are able to analyze, recognize and interpret the gestures captured by a camera. In this article we give an overview of a current research.
Manel Ben Abdallah +2 more
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2009
From facial gestures, we can extract many kinds of messages in human communication: they represent visible speech signals and clarify whether our current focus of attention is important, funny or unpleasant for us. They are direct, naturally preeminent means for humans to communicate their emotions (Russell and Fernandez-Dols, 1997).
Daijin Kim, Jaewon Sung
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From facial gestures, we can extract many kinds of messages in human communication: they represent visible speech signals and clarify whether our current focus of attention is important, funny or unpleasant for us. They are direct, naturally preeminent means for humans to communicate their emotions (Russell and Fernandez-Dols, 1997).
Daijin Kim, Jaewon Sung
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Haptic gesture analysis and recognition
2008International audience; Haptic perception properties is achieved by the execution of specific exploratory procedures "Eps". An "EP" is a stereotyped movement pattern which is dictated by the object properties that the haptic system chooses to process, both perceptually and cognitively.
Chahir, Y. +3 more
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Gesture recognition with a DataGlove
IEEE Conference on Aerospace and Electronics, 2002An experiment was conducted to investigate gesture recognition with a human hand manipulating the DataGlove, an electronically instrumented glove which provides information about finger and hand position. A total of 22 gestures in three classes were investigated. The first class contained gestures which only involved finger flexure.
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Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2002
We describe a system that automatically detects and recognizes human head gestures such as nodding and shaking in complex background conditions using a cheap Web camera under uncontrolled conditions. The images of the head, captured at 20 frames per second, are very noisy and are of a low resolution.
Pei Chi Ng, L.C. De Silva
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We describe a system that automatically detects and recognizes human head gestures such as nodding and shaking in complex background conditions using a cheap Web camera under uncontrolled conditions. The images of the head, captured at 20 frames per second, are very noisy and are of a low resolution.
Pei Chi Ng, L.C. De Silva
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Emblematic Gestures Recognition
Volume 2: Applied Fluid Mechanics; Electromechanical Systems and Mechatronics; Advanced Energy Systems; Thermal Engineering; Human Factors and Cognitive Engineering, 2012This paper presents a framework allowing emblematic gestures detection, segmentation and their recognition for human-robots interaction purposes. This framework is based on a new coding of arms’ kinematics reflecting both the muscular activity of the performer and the appearance of arm seen by the recipient when a gesture is performed.
Ilaria Renna, Ryad Chellali
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Gesture Recognition in Patients with Aphasia
Journal of Speech and Hearing Disorders, 1982This study focuses on the controversial issue of the integrity of gestural communication abilities in subjects with aphasia. To define the ability of subjects to interpret symbolic gestures, an Amer-Ind Recognition Test (ART) was developed which required no verbal response from the examiner or the subject.
J. Douglas Noll +3 more
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