Results 11 to 20 of about 1,057,991 (261)
IEEE Access, 2021 Accurate fast hand detection and gesture recognition for hand understanding are still challenging tasks that are influenced by the diversity of hands and the complexity of the scene in color images.
Baohua Qiang +6 more
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Hands on the wheel: A Dataset for Driver Hand Detection and Tracking [PDF]
2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), 2018 The ability to detect, localize and track the hands is crucial in many applications requiring the understanding of the person behavior, attitude and interactions. In particular, this is true for the automotive context, in which hand analysis allows to predict preparatory movements for maneuvers or to investigate the driver's attention level.
Guido Borghi +3 more
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Deep Learning for Highly Accurate Hand Recognition Based on Yolov7 Model
Big Data and Cognitive Computing, 2023 Hand detection is a key step in the pre-processing stage of many computer vision tasks because human hands are involved in the activity. Some examples of such tasks are hand posture estimation, hand gesture recognition, human activity analysis, and other
Christine Dewi +2 more
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Recognize The Alphabet of Fingerspelling Using Statistical Classifiers to Facilitate Communication Between Hearing-Impaired Persons and Others [PDF]
Mağallaẗ Kulliyyaẗ Al-Adāb Bi-Qinā, 2022 The predominant method of communication for hearing-impaired and deaf people is still sign language. It is a carefully constructed hand gesture language, and each motion denotes a certain meaning.
Amr Mohmed Soliman +2 more
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Content-Adaptive and Attention-Based Network for Hand Gesture Recognition
Applied Sciences, 2022 For hand gesture recognition, recurrent neural networks and 3D convolutional neural networks are the most commonly used methods for learning the spatial–temporal features of gestures. The calculation of the hidden state of the recurrent neural network at
Zongjing Cao, Yan Li, Byeong-Seok Shin
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Big Data and Cognitive Computing, 2022 The human hand is involved in many computer vision tasks, such as hand posture estimation, hand movement identification, human activity analysis, and other similar tasks, in which hand detection is an important preprocessing step.
Christine Dewi, Henoch Juli Christanto
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YOLO Series for Human Hand Action Detection and Classification from Egocentric Videos
Sensors, 2023 Hand detection and classification is a very important pre-processing step in building applications based on three-dimensional (3D) hand pose estimation and hand activity recognition.
Hung-Cuong Nguyen +3 more
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Real-Time Hand Gesture Recognition using Motion Tracking [PDF]
International Journal of Computational Intelligence Systems, 2011 This paper proposes a real-time recognition system for hand gestures, which serves as an alternative of human computer interface. We focus on hand gestures performed by hand motions, and 10 hand signed digits are recognized.
Chi-Man Pun, Hong-Min Zhu, Wei Feng
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Feature Detection for Hand Hygiene Stages [PDF]
CoRR, 2021 The process of hand washing involves complex hand movements. There are six principal sequential steps for washing hands as per the World Health Organisation (WHO) guidelines. In this work, a detailed description of an aluminium rig construction for creating a robust hand-washing dataset is discussed.
Bakshi, Rashmi +3 more
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Frontiers in Neurorobotics, 2018 Humans are capable of complex manipulation interactions with the environment, relying on the intrinsic adaptability and compliance of their hands. Recently, soft robotic manipulation has attempted to reproduce such an extraordinary behavior, through the ...
Visar Arapi +8 more
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