Deep learning-based approach for sign language gesture recognition with efficient hand gesture representation
Hand gesture recognition is an attractive research field with a wide range of applications,
including video games and telesurgery techniques. Another important application of hand …
including video games and telesurgery techniques. Another important application of hand …
A multi-scale descriptor for real time RGB-D hand gesture recognition
Y Huang, J Yang - Pattern Recognition Letters, 2021 - Elsevier
The development of depth cameras, eg, the Kinect sensor, provides new opportunities for
human computer interaction (HCI). Although the Kinect sensor has been extensively applied …
human computer interaction (HCI). Although the Kinect sensor has been extensively applied …
Vision based hand gesture recognition using 3D shape context
Hand gesture recognition is a popular topic in computer vision and makes human-computer
interaction more flexible and convenient. The representation of hand gestures is critical for …
interaction more flexible and convenient. The representation of hand gestures is critical for …
Comparing 3D trajectories for simple mid-air gesture recognition
User interfaces based on mid-air gesture recognition are expected to become popular in the
near future due to the increasing diffusion of virtual, mixed reality applications and smart …
near future due to the increasing diffusion of virtual, mixed reality applications and smart …
[PDF][PDF] A 3 Cent Recognizer: Simple and Effective Retrieval and Classification of Mid-air Gestures from Single 3D Traces.
In this paper we present a simple 3D gesture recognizer based on trajectory matching,
showing its good performances in classification and retrieval of command gestures based …
showing its good performances in classification and retrieval of command gestures based …
Movement trajectory recognition of sign language based on optimized dynamic time warping
W Li, Z Luo, X Xi - Electronics, 2020 - mdpi.com
Movement trajectory recognition is the key link of sign language (SL) translation research,
which directly affects the accuracy of SL translation results. A new method is proposed for …
which directly affects the accuracy of SL translation results. A new method is proposed for …
Learning dynamic relationship between joints for 3D hand pose estimation from single depth map
H Xing, J Yang, Y Xiao - Journal of Visual Communication and Image …, 2023 - Elsevier
Abstract 3D hand pose estimation from a single depth map is an essential topic in computer
vision. Most existing methods are devoted to designing a model to capture more spatial …
vision. Most existing methods are devoted to designing a model to capture more spatial …
Learning full context feature for human motion prediction
H Xing, Y Zhou, J Yang, Y Xiao - Journal of Visual Communication and …, 2023 - Elsevier
Human motion prediction aims to predict the target poses given the previous poses. Most
existing methods are devoted to extracting richer motion features from only the given …
existing methods are devoted to extracting richer motion features from only the given …
Keyframe Extraction and Process Recognition Method for Assembly Operation Based on Density Clustering
Y Liu, Q Qiao, S Shi, X Wang, M Yang, X Gao - IEEE Access, 2023 - ieeexplore.ieee.org
A keyframe extraction and process recognition method for assembly operations is proposed
based on density clustering to solve the problems of data redundancy and difficulty in …
based on density clustering to solve the problems of data redundancy and difficulty in …
Air-writing recognition using reverse time ordered stroke context
TH Tsai, JW Hsieh, CW Chang, CR Lay… - Journal of Visual …, 2021 - Elsevier
Air-writing is a new human and smart device communication approach, permits users to
write inputs in a natural and relentless way. This touch-less way can prevent users from virus …
write inputs in a natural and relentless way. This touch-less way can prevent users from virus …