Development of Hand Gesture Based Electronic Key Using Microsoft Kinect
MATEC Web of Conferences, 2018 Computer vision is one of the fields of research that can be applied in a various subject. One application of computer vision is the hand gesture recognition system. The hand gesture is one of the ways to interact with computers or machines.
Ramadhani Arief +2 more
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Hand Motion and Posture Recognition in a Network of Calibrated Cameras
Advances in Multimedia, 2017 This paper presents a vision-based approach for hand gesture recognition which combines both trajectory and hand posture recognition. The hand area is segmented by fixed-range CbCr from cluttered and moving backgrounds and tracked by Kalman Filter.
Jingya Wang, Shahram Payandeh
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Dynamic Hand Gesture Classification Based on Radar Micro-Doppler Signatures [PDF]
, 2016 Dynamic hand gesture recognition is of great importance for human-computer interaction. In this paper, we present a method to discriminate the four kinds of dynamic hand gestures, snapping fingers, flipping fingers, hand rotation and calling, using a ...
Fioranelli, Francesco +4 more
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HAGR-D: A Novel Approach for Gesture Recognition with Depth Maps
Sensors, 2015 The hand is an important part of the body used to express information through gestures, and its movements can be used in dynamic gesture recognition systems based on computer vision with practical applications, such as medical, games and sign language ...
Diego G. Santos +2 more
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Two-Dimensional Parallel Spatio-Temporal Pyramid Pooling for Hand Gesture Recognition
IEEE Access, 2023 Hand Gesture Recognition (HGR) plays a crucial role in user-friendly interactions between humans and computers. In recent years, using the Convolutional Neural Network (CNN) has improved the accuracy of image processing problems.
Farzaneh Jafari, Anup Basu
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Hand gesture recognition with jointly calibrated Leap Motion and depth sensor [PDF]
, 2015 Novel 3D acquisition devices like depth cameras and the Leap Motion have recently reached the market. Depth cameras allow to obtain a complete 3D description of the framed scene while the Leap Motion sensor is a device explicitly targeted for hand ...
Dominio, Fabio +2 more
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Skeleton-Based Dynamic Hand Gesture Recognition Using an Enhanced Network with One-Shot Learning
Applied Sciences, 2020 Dynamic hand gesture recognition based on one-shot learning requires full assimilation of the motion features from a few annotated data. However, how to effectively extract the spatio-temporal features of the hand gestures remains a challenging issue ...
Chunyong Ma +4 more
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Ultra-Low Power Hand Gesture Sensor Using Electrostatic Induction
Sensors, 2021 This paper presents an ultra-low power hand gesture sensor using electrostatic induction for mobile devices. Two electrodes, which consist of electret foils stacked on metal sheets, are used to recognize two gestures such as hand movements from left to ...
Hiroshi Fuketa
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Real-Time Hand Gesture Monitoring Model Based on MediaPipe’s Registerable System
SensorsHand gesture recognition plays a significant role in human-to-human and human-to-machine interactions. Currently, most hand gesture detection methods rely on fixed hand gesture recognition.
Yuting Meng +3 more
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A Frame Detection Method for Real-Time Hand Gesture Recognition Systems Using CW-Radar
Sensors, 2020 In this paper, a method to detect frames was described that can be used as hand gesture data when configuring a real-time hand gesture recognition system using continuous wave (CW) radar.
Myoungseok Yu +3 more
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