Results 21 to 30 of about 9,632 (295)
Dynamic Gesture Recognition Based on FMCW Millimeter Wave Radar: Review of Methodologies and Results
Sensors, 2023 As a convenient and natural way of human-computer interaction, gesture recognition technology has broad research and application prospects in many fields, such as intelligent perception and virtual reality.
Gaopeng Tang, Tongning Wu, Congsheng Li
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sEMG-Based Gesture Classifier for a Rehabilitation Glove
Frontiers in Neurorobotics, 2022 Human hand gesture recognition from surface electromyography (sEMG) signals is one of the main paradigms for prosthetic and rehabilitation device control. The accuracy of gesture recognition is correlated with the control mechanism.
Dorin Copaci +4 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2022 Aiming to provide feasible solutions for the realization of the robust and natural myoelectric control systems, a novel myoelectric control scheme supporting gesture recognition and muscle force estimation is proposed in this study.
Ruochen Hu +4 more
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Real-time fingertip localization conditioned on hand gesture classification
Image and Vision Computing, 2014 Xavier Suau +2 more
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Dynamic Hand Gesture Recognition in In-Vehicle Environment Based on FMCW Radar and Transformer
Sensors, 2021 Hand gesture recognition technology plays an important role in human-computer interaction and in-vehicle entertainment. Under in-vehicle conditions, it is a great challenge to design gesture recognition systems due to variable driving conditions, complex
Lianqing Zheng +6 more
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Big Data Mining and Analytics, 2023 The development of hand gesture recognition systems has gained more attention in recent days, due to its support of modern human-computer interfaces. Moreover, sign language recognition is mainly developed for enabling communication between deaf and dumb
Seetharam Khetavath +7 more
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Gesture Control of Sound Synthesis: Analysis and Classification of Percussion Gestures [PDF]
Acta Acustica united with Acustica, 2010 In recent years, the control of virtual instruments or sound-synthesis processes by natural gestures has become an important research field, both for building new audio-visual tools and for exploring gesture-sound relationships. Such multimodal and interactive tools typically present two advantages, on the one hand they provide realistic virtual ...
Bouënard, Alexandre +2 more
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Multiresolution Match Kernels for gesture video classification [PDF]
2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), 2013 ICME 2013 ...
Hemanth Venkateswara +3 more
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Visual and linguistic information in gesture classification [PDF]
ACM SIGGRAPH 2007 courses, 2004 Classification of natural hand gestures is usually approached by applying pattern recognition to the movements of the hand. However, the gesture categories most frequently cited in the psychology literature are fundamentally multimodal; the definitions make reference to the surrounding linguistic context. We address the question of whether gestures are
Jacob Eisenstein, Randall Davis
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Sensor-Based Hand Gesture Detection and Recognition by Key Intervals
Applied Sciences, 2022 This study aims to present a novel neural network architecture for sensor-based gesture detection and recognition. The algorithm is able to detect and classify accurately a sequence of hand gestures from the sensory data produced by accelerometers and ...
Yin-Lin Chen +3 more
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