Results 221 to 230 of about 19,416 (255)
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Hand gesture detection and extraction
2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013A novel algorithm for detecting and extracting hand gestures is proposed which uses an on-line adaptive learning approach to fit the hand skin color distribution of each individual user in various environments. The on-line adaptive skin-color learning approach is designed by two strategies: negative skin-color exclusion and dynamic skin-color standard ...
Yea-Shuan Huang +2 more
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Computer control by hand gestures
SPIE Proceedings, 2015This work fits into the context of the interpretation of automatic gestures based on computer vision. The aim of our work is to transform a conventional screen in a surface that allows the user to use his hands as pointing devices. These can be summarized in three main steps.
Intidhar Jemel +2 more
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Hand gesture coding based on experiments using a hand gesture interface device
ACM SIGCHI Bulletin, 1991It would be ideal for computer-human interaction if a computer could understand human gestures. Hand gestures are one means of interaction between computers and humans[1][2]. A hand gesture interface device, the VPL Data Glove TM , provides real-time information on a user's hand movement[3].
Tomoichi Takahashi, Fumio Kishino
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The Gesture Disagreement Problem in Free-hand Gesture Interaction
International Journal of Human–Computer Interaction, 2018ABSTRACTAccurately understanding a user’s intention is often essential to the success of any interactive system.
Huiyue Wu +4 more
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Measurement System for Classification of Hand’s Gesture
2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom), 2018The goal was to create precise hardware that would be able to measure signal of myopotentials from defined area of forearm for the computer analysis without external noise and with right amplification. The second goal was to program an algorithm which could classify specific gestures of hand based on an analysis of myopotencial signals.
Peter L. +3 more
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Synthesis of Hand-Arm Gestures
1997This paper presents a model that generates natural hand-arm movements. A simple command, specified in terms of successive target end-points is translated through the control model into a complete movement trajectory. This high-level command provides an easy way to describe and manipulate sequences of gestures. Moreover, by its nature, the command tends
Thierry Lebourque, Sylvie Gibet
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Solving the Hand-Hand Overlapping for Gesture Application
2011The most hand gestures used in Human Computer Interaction (HCI) are generated either by one hand or by two hands on condition that both hands do not pass each other. This constraint in the two-hands gestures is due to the difficulties in reacquiring both hands correctly at the end of the hand-hand occlusion. In this paper, we provide a solution to this
Anwar Saeed +3 more
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Hand shape and hand gesture recognition
2009 IEEE Symposium on Industrial Electronics & Applications, 2009We present two problems in the article, first concerns persons identification based on the shape of the hand and the second recognizing gestures and signs executed by hands.
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Homoeopathic Links, 2008
In every case it is very important to get the vital sensation of the patient. While narrating the patient gives many different sensations and in that case it is very difficult to come to what is the unique vital sensation. One way to find it - an innovation of Dr. Sankaran - is to observe the hand gestures of the patient while he is narrating. Just ask
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In every case it is very important to get the vital sensation of the patient. While narrating the patient gives many different sensations and in that case it is very difficult to come to what is the unique vital sensation. One way to find it - an innovation of Dr. Sankaran - is to observe the hand gestures of the patient while he is narrating. Just ask
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International Journal on Science and Technology
This paper presents the design and implementation of a vision-based hand gesture recognition system combined with voice control for human-computer interaction (HCI). The system uses MediaPipe for real-time hand tracking and OpenCV for image processing, translating gestures into cursor movements and clicks through PyAutoGUI.
SWATHI KUMARI +4 more
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This paper presents the design and implementation of a vision-based hand gesture recognition system combined with voice control for human-computer interaction (HCI). The system uses MediaPipe for real-time hand tracking and OpenCV for image processing, translating gestures into cursor movements and clicks through PyAutoGUI.
SWATHI KUMARI +4 more
openaire +1 more source