Results 11 to 20 of about 2,864,786 (285)
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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Improved change detection with nearby hands [PDF]
Experimental Brain Research, 2011 Recent studies have suggested altered visual processing for objects that are near the hands. We present three experiments that test whether an observer's hands near the display facilitate change detection. While performing the task, observers placed both hands either near or away from the display.
Tseng, Philip, Bridgeman, Bruce
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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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HAND GESTURE DETECTION USING SEGMENTATION
International Journal of Innovative Research in Computer Science & Technology, 2021 Hand gesture detection is a project which recognizes the gesture of hands and detect accordingly. Hand Gesture recognition is an important technique for creating user-friendly interfaces. Hand gesture is recognized by robots, for example, can take human commands, and those who are deaf or who cannot speak, can recognize the sign language for ...
Nishu Sethi +2 more
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Egocentric Hand-object Interaction Detection
2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta), 2022 In this paper, we propose a method to jointly determine the status of hand-object interaction. This is crucial for egocentric human activity understanding and interaction. From a computer vision perspective, we believe that determining whether a hand is interacting with an object depends on whether there is an interactive hand pose and whether the hand
Lu, Yao, Liu, Yanan
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Sensors, 2020 The use of human gesturing to interact with devices such as computers or smartphones has presented several problems. This form of interaction relies on gesture interaction technology such as Leap Motion from Leap Motion, Inc, which enables humans to use ...
Chanhwi Lee +5 more
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Vietnam Journal of Computer Science, 2023 Hand-raising gesture is one of the most popular signs of communication, whose frequency is related to the classroom’s atmosphere, the attractiveness of the subject, and the level of interactions between students and teachers.
Thu-Hien Le +8 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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