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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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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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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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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.
CHANG SAMUEL HENRY +3 more
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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.
CHANG SAMUEL HENRY +3 more
+5 more sources
2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2023
M. Viswa Sowrabh Reddy +4 more
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M. Viswa Sowrabh Reddy +4 more
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Gesture Recognition Techniques
2023 15th International Conference on Developments in eSystems Engineering (DeSE), 2023Varun Sharma +4 more
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A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009Within the context of hand gesture recognition, spatiotemporal gesture segmentation is the task of determining, in a video sequence, where the gesturing hand is located and when the gesture starts and ends. Existing gesture recognition methods typically assume either known spatial segmentation or known temporal segmentation, or both.
Jonathan Alon +3 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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A lightweight gesture recognition network
Journal of Visual Communication and Image Representation, 2023Jinzhao Guo, Xuemei Lei, Bo Li
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