TY-Net: Transforming YOLO for Hand Gesture Recognition
IEEE Access, 2023 Hand gesture recognition is a rapidly expanding field with diverse applications, and the use of skeleton-based methods is gaining popularity due to their potential for lightweight execution on embedded devices.
Zorana Dozdor +3 more
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Sensors, 2022 Pixel-based images captured by a charge-coupled device (CCD) with infrared (IR) LEDs around the image sensor are the well-known CCD Red–Green–Blue IR (the so-called CCD RGB-IR) data.
Ing-Jr Ding, Nai-Wei Zheng
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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
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
Instant 3D design concept generation and visualization by real-time hand gesture recognition [PDF]
, 2013 3D conceptual design is a creative process. While the designers are in the inspirational mode, they want to quickly express the design ideas in 3D and visualize it in real time without obstacle.
Wright, David +9 more
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Data glove-based gesture recognition using CNN-BiLSTM model with attention mechanism.
PLoS ONE, 2023 As a novel form of human machine interaction (HMI), hand gesture recognition (HGR) has garnered extensive attention and research. The majority of HGR studies are based on visual systems, inevitably encountering challenges such as depth and occlusion.
Jiawei Wu +5 more
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UAV-GESTURE: A Dataset for UAV Control and Gesture Recognition [PDF]
, 2019 Current UAV-recorded datasets are mostly limited to action recognition and object tracking, whereas the gesture signals datasets were mostly recorded in indoor spaces.
Perera, Asanka G. +8 more
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Attention Based Residual Network for Micro-Gesture Recognition [PDF]
, 2018 Finger micro-gesture recognition is increasingly become an important part of human-computer interaction (HCI) in applications of augmented reality (AR) and virtual reality (VR) technologies.
Peng, M, Chen, T, Wang, C
core +2 more sources
Robotic gesture recognition [PDF]
, 2005 Robots of the future should communicate with humans in a natural way. We are especially interested in vision-based gesture interfaces. In the context of robotics several constraints exist, which make the task of gesture recognition particularly ...
Malsburg, Christoph von der +3 more
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Wi-NN: Human Gesture Recognition System Based on Weighted KNN
Applied Sciences, 2023 Gesture recognition, the basis of human–computer interaction (HCI), is a significant component for the development of smart home, VR, and senior care management.
Yajun Zhang +4 more
doaj +1 more source