Results 251 to 260 of about 4,696,743 (282)
Some of the next articles are maybe not open access.
Dynamic Hand Gesture Recognition Based On Depth Information
2018 International Conference on Control, Automation and Information Sciences (ICCAIS), 2018Dynamic hand gesture is consisted by hand movement trajectory and the changes of hand shape. However, some existing methods only focus on the trajectory, and those methods can not accurately recognize the gesture that has the similar trajectory but different hand shape changes.
Xinran Bai +3 more
openaire +2 more sources
A Dynamic Gesture Recognition System based on CIPBR Algorithm
Polibits, 2014Dynamic gesture recognition has been studied actually for it big application in several areas such as virtual reality, games and sign language. But some problems have to be solved in computer applications, such as response time and classification rate, which directly affect the real-time usage.
Diego G. S. Santos +3 more
openaire +1 more source
An Approach to Dynamic Gesture Recognition for Real-Time Interaction
2009Recently, the new Human Computer Interactive (HCI) technologies such as gesture recognition have drawn extensive attention, which have been extended to such field as the interaction between human and machine. In this paper, the critical technology about the gesture recognition is discussed, a method to locate human hand in high speed is proposed, based
Jinli Zhao, Tianding Chen
openaire +2 more sources
Sensor Based Dynamic Hand Gesture Recognition by PairNet
2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2019This paper presents a novel feedforward neural network for sensor-based dynamic hand gesture recognition. The algorithm, termed PairNet, is capable of carrying out accurate gesture spotting for the sensory data produced by basic accelerators and gyroscopes, which are commonly deployed in internet of things devices.
Yun-Jie Jhang +5 more
openaire +2 more sources
Deep Dynamic Neural Networks for Gesture Segmentation and Recognition
2015The purpose of this paper is to describe a novel method called Deep Dynamic Neural Networks(DDNN) for the Track 3 of the Chalearn Looking at People 2014 challenge [1]. A generalised semi-supervised hierarchical dynamic framework is proposed for simultaneous gesture segmentation and recognition taking both skeleton and depth images as input modules ...
Di Wu 0009, Ling Shao 0001
openaire +1 more source
Dynamic Hand Gesture Recognition
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), 2022Subash Chandra Bose Jaganathan +5 more
openaire +1 more source
Featureweighting in dynamic timewarping for gesture recognition in depth data
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011We present a gesture recognition approach for depth video data based on a novel Feature Weighting approach within the Dynamic Time Warping framework. Depth features from human joints are compared through video sequences using Dynamic Time Warping, and weights are assigned to features based on inter-intra class gesture variability.
Miguel Reyes +2 more
openaire +1 more source
Dynamic Hand Gesture Recognition Using Centroid Tracking
2015In many dynamic hand gesture recognition contexts, time information is not adequately used. The extracted features of dynamic gestures usually do not carry explicit information about time in gesture classification. This results in under-utilized data for more important accurate classification.
Prashan Premaratne +3 more
openaire +2 more sources
Multi-model ensemble gesture recognition network for high-accuracy dynamic hand gesture recognition
Journal of Ambient Intelligence and Humanized Computing, 2022Adam A. Q. Mohammed +3 more
openaire +2 more sources
Survey on vision-based dynamic hand gesture recognition
The Visual Computer, 2023Reena Tripathi, Bindu Verma
openaire +2 more sources