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
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Research on Gesture Recognition Method Based on Computer Vision
MATEC Web of Conferences, 2018 Gesture recognition is an important way of human-computer interaction. With time going on, people are no longer satisfied with gesture recognition based on wearable devices, but hope to perform gesture recognition in a more natural way.
Wang Xianghan +4 more
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Intelligent Contactless Gesture Recognition Using WLAN Physical Layer Information
IEEE Access, 2019 Contactless gesture recognition is an emerging interactive technique in ubiquitous and mobile computing. It combines the linguistics with the wireless signals to analyze, judge, and integrate human gestures by the usage of intelligent algorithms.
Shujie Ren +5 more
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Deep Learning Based Real-Time Recognition of Dynamic Finger Gestures Using a Data Glove
IEEE Access, 2020 In this article, a real-time dynamic finger gesture recognition using a soft sensor embedded data glove is presented, which measures the metacarpophalangeal (MCP) and proximal interphalangeal (PIP) joint angles of five fingers. In the gesture recognition
Minhyuk Lee, Joonbum Bae
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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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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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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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Surgical Gesture Segmentation and Recognition [PDF]
, 2013 Automatic surgical gesture segmentation and recognition can provide useful feedback for surgical training in robotic surgery. Most prior work in this field relies on the robot's kinematic data. Although recent work [1,2] shows that the robot's video data can be equally effective for surgical gesture recognition, the segmentation of the video into ...
Lingling Tao +3 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
doaj +1 more source
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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