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2012 19th IEEE International Conference on Image Processing, 2012
This paper presents a novel method for static gesture recognition based on visual attention. Our proposed method makes use of a visual attention model to automatically select points that correspond to fixation points of the human eye. Gesture recognition is then performed using the determined visual attention fixation points.
Samuel Fuller Dodge, Lina J. Karam
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This paper presents a novel method for static gesture recognition based on visual attention. Our proposed method makes use of a visual attention model to automatically select points that correspond to fixation points of the human eye. Gesture recognition is then performed using the determined visual attention fixation points.
Samuel Fuller Dodge, Lina J. Karam
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Proceedings of the International Conference on Machine Vision and Applications, 2018
This paper presents a methodology for a real time mobile gesture recognition system. It presents a new kind of Human - Machine interaction through mobile devices (microcontroller) and without the use of typical computer system. With the help of real time gesture recognition technologies and by using camera signal processing (web) the interaction with ...
Apostolos Tsagaris, Dimitrios Trigkas
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This paper presents a methodology for a real time mobile gesture recognition system. It presents a new kind of Human - Machine interaction through mobile devices (microcontroller) and without the use of typical computer system. With the help of real time gesture recognition technologies and by using camera signal processing (web) the interaction with ...
Apostolos Tsagaris, Dimitrios Trigkas
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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.
Liyanage C. De Silva, Ng Pei Chi
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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.
Liyanage C. De Silva, Ng Pei Chi
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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, Tinku 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, Tinku Acharya
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2017
The main objective of gesture recognition is to promote the technology behind the automation of registered gesture with a fusion of multidimensional data in a versatile manner. To achieve this goal, computers should be able to visually recognize hand gestures from video input.
Nandhini Kesavan, Raajan N. R.
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The main objective of gesture recognition is to promote the technology behind the automation of registered gesture with a fusion of multidimensional data in a versatile manner. To achieve this goal, computers should be able to visually recognize hand gestures from video input.
Nandhini Kesavan, Raajan N. R.
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Automatic recognition of hand gestures
2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2019Developing and implementing a software algorithm for detecting, recognizing and interpreting hand gestures. The project involves an automatic realtime image analysis system that recognizes several predefined movements. The analysis system first involves locating and separating the areas of the image associated with the hand, followed by the motion ...
Cristian Mocanu, George Suciu
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Recognition of gestures in the context of speech
Object recognition supported by user interaction for service robots, 2003The scope of this paper is the interpretation of a user's intention via a video camera and a speech recognizer In comparison to previous work which only takes into account gesture recognition, we demonstrate that by including speech, system comprehension increases.
Matthieu Bray +2 more
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Face Recognition and Gesture Recognition
2021This chapter continues from the thought from Pablo Picasso. We humans are intrigued by our faces and faces of others, our smiles, our emotions, the different poses we make, and different expressions we have. Our mobile phones and cameras capture all of this.
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Visual Recognition of Similar Gestures
18th International Conference on Pattern Recognition (ICPR'06), 2006Naturalness and effectiveness of gesture-based communication strongly depend on the success of gesture recognition. However, confusion in classification increases when considering gestures with similar evolutions. Given that neither typical motion-based features, nor hidden Markov models are capable to distinguish accurately among them, it is common to
Héctor Hugo Avilés-Arriaga +2 more
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