Results 41 to 50 of about 8,003 (296)
Skeleton-Based Dynamic Hand Gesture Recognition [PDF]
2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2016 In this paper, a new skeleton-based approach is proposed for 3D hand gesture recognition. Specifically, we exploit the geometric shape of the hand to extract an effective descriptor from hand skeleton connected joints returned by the Intel RealSense depth camera.
de Smedt, Quentin +2 more
openaire +2 more sources
Scientific Reports, 2022 Hand gesture recognition is one of the most widely explored areas under the human–computer interaction domain. Although various modalities of hand gesture recognition have been explored in the last three decades, in recent years, due to the availability ...
Md. Ahasan Atick Faisal +3 more
doaj +1 more source
Smart-Data-Glove-Based Gesture Recognition for Amphibious Communication
Micromachines, 2023 This study has designed and developed a smart data glove based on five-channel flexible capacitive stretch sensors and a six-axis inertial measurement unit (IMU) to recognize 25 static hand gestures and ten dynamic hand gestures for amphibious ...
Liufeng Fan +5 more
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Real-time hand gesture recognition for uncontrolled environments using adaptive SURF tracking and hidden conditional random fields [PDF]
, 2013 Challenges from the uncontrolled environments are the main difficulties in making hand gesture recognition methods robust in real-world scenarios. In this paper, we propose a real-time and purely vision-based method for hand gesture recognition in ...
Yi Yao +3 more
core +1 more source
Simultaneous Localization and Recognition of Dynamic Hand Gestures [PDF]
2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1, 2005 A method for the simultaneous localization and recognition of dynamic hand gestures is proposed. At the core of this method is a dynamic space-time warping (DSTW) algorithm, that aligns a pair of query and model gestures in both space and time. For every frame of the query sequence, feature detectors generate multiple hand region candidates.
Alon, Jonathan +3 more
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A framework for real-time hand gesture recognition in uncontrolled environments with partition matrix model based on hidden conditional random fields [PDF]
, 2013 The main obstructions of making hand gesture recognition methods robust in real-world applications are the challenges from the uncontrolled environments, including: gesturing hand out of the scene, pause during gestures, complex background, skin-coloured
Yi Yao +3 more
core +1 more source
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
doaj +1 more source
, 2021 Within the field of electromyography-based (EMG) gesture recognition, disparities exist between the off line accuracy reported in the literature and the real-time usability of a classifier.
Glette, Kyrre +7 more
core +1 more source
A Transformer-Based Network for Dynamic Hand Gesture Recognition [PDF]
2020 International Conference on 3D Vision (3DV), 2020 Transformer-based neural networks represent a successful self-attention mechanism that achieves state-of-the-art results in language understanding and sequence modeling. However, their application to visual data and, in particular, to the dynamic hand gesture recognition task has not yet been deeply investigated. In this paper, we propose a transformer-
Andrea D'Eusanio +5 more
openaire +2 more sources
Fusion of dynamic and static features for gait recognition over time [PDF]
, 2005 Gait recognition aims to identify people at a distance based on the way they walk. This paper deals with a problem of recognition by gait when time-dependent covariates are added, i.e.
Veres, Galina V +7 more
core +1 more source