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Co-articulation Detection in Hand Gestures
TENCON 2005 - 2005 IEEE Region 10 Conference, 2005The task of automatic gesture recognition is highly challenging due to the presence of unpredictable and ambiguous non gesture hand motions referred to as co-articulation. Due to co-articulation that occurs during transition from one gesture to the next, problem is encountered in continuous hand gesture recognition. In this paper, we have shown that co-
M.K. Bhuyan, D. Ghosh, P.K. Bora
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Fast hand detection and gesture recognition
2015 International Conference on Machine Learning and Cybernetics (ICMLC), 2015A fast hand detection and gesture recognition method is proposed in this paper. To reduce the computation time, we employ symmetric mask-based discrete wavelet transform (SMDWT) to reduce the image resolution and then utilize the extracted characteristics to perform hand detection and gesture recognition.
Yuh-Rau Wang +3 more
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Real-time detection of hand gestures
2016 21st International Conference on Methods and Models in Automation and Robotics (MMAR), 2016This paper presents one of the approaches to the gesture recognition problem, which might be valuable in development of social robots, companions for deaf-mute people or in design of new control methods. A universal PC application for gesture recognition in image sequence acquired from a simple USB camera in real-time was made.
Piotr Muzyka +2 more
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Hand-Raising Gesture Detection in Real Classroom
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018This paper proposes a novel method for hand-raising detection in the real classroom environment. Different from traditional motion detection, the hand-raising detection is quite challenging in the real classroom due to complex scenarios, various gestures, and low resolutions.
Jiaojiao Lin, Fei Jiang, Ruimin Shen
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Non-invasive optical detection of hand gestures
Proceedings of the 6th Augmented Human International Conference, 2015In this paper we present a novel type of sensing technology for hand and finger gesture recognition that utilizes light in the invisible spectrum to detect changes in position and form of body tissue like tendons and muscles. The proposed system can be easily integrated with existing wearable devices.
Santiago Ortega-Avila +3 more
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Touchless capacitive sensor for hand gesture detection
2011 IEEE SENSORS Proceedings, 2011This paper presents a capacitive motion-tracking sensor system including the electrodes and interface electronics. The main advantages of the presented method over existing methods include low power consumption, seamless integration, and low cost. The experimental results were obtained which demonstrated the capability of the sensor system to track a ...
Fatemeh Aezinia +2 more
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Hand Gesture Recognition Based on Fingertip Detection
2013 Fourth Global Congress on Intelligent Systems, 2013To improve the hand gesture recognition accuracy based on Hu moment features, a new recognition algorithm was developed based on the fingertip structure detection. Firstly, the geometric features, the areas of skin region and the image, were designed to segment the skin region from the background in space of hue, saturation and value of brightness ...
null Guoqing-Meng, Mei Wang
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Hand Gesture Detection with Indication
AbstractThis paper presents a method for hand gesture detection and indication using a flex sensor and Arduino. Hand gesture detection using flexible sensors and Arduino platforms offers an innovative approach to human-computer interaction, enabling intuitive control systems in various applications such as robotics, gaming, and assistive technology ...Shaha, Arya Ashish +3 more
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Hand Gesture Detection with Convolutional Neural Networks
2019In this paper, we present a method for locating and recognizing hand gestures from images, based on Deep Learning. Our goal is to provide an intuitive and accessible way to interact with Computer Vision-based mobile applications aimed to assist visually impaired people (e.g.
Samer Alashhab +2 more
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Robust Hand Gesture Detection Based on Feature Classifier
Advanced Materials Research, 2013In this article, a novel automatic hand gesture detection approach based on the boosted classifiers is proposed, which analyze the hand gesture features. At first, hand gesture images are processed with local binary pattern (LBP) operator which has the powerful capability of texture feature description.
Zhi Qin Zhang, Wei Zhu
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