Results 31 to 40 of about 4,696,743 (282)
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 +3 more sources
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
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
Dynamic Hand Gesture Recognition Using Electrical Impedance Tomography
Sensors, 2022 Electrical impedance tomography (EIT) has been applied in the field of human-computer interaction due to its advantages including the fact that it is non-invasive and has both low power consumption and a low cost.
Xiuyan Li +6 more
doaj +1 more source
IEEE AccessAdding dynamic gesture recognition to the new interactive teaching system is of great significance to improve the teaching efficiency. However, the features extracted by traditional dynamic gesture recognition methods are usually difficult to accurately ...
Li Jiashan, Li Zhonghua
doaj +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
Dynamic gesture recognition pipeline based on A-CBLN.
, 2023 Dynamic gesture recognition pipeline based on A-CBLN.
Xiao Zhang (152326) +5 more
core +1 more source
Dynamic gesture recognition results (a.lr = 0.01; b.lr = 0.001).
, 2023 Dynamic gesture recognition results (a.lr = 0.01; b.lr = 0.001).
Yan Feng (128912)
core +1 more source
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
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Young adult childhood cancer survivors (YA‐CCS) have an increased risk of treatment‐related health complications throughout their lives. Lifelong survivorship care is recommended, yet many YA‐CCS experience disruptions in care during pediatric‐to‐adult transitions and do not receive recommended survivorship care.
Kevin Shanchen Pu +8 more
wiley +1 more source