Results 251 to 260 of about 143,707 (286)

Dynamic gesture track recognition based on HMM

Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology, 2005., 2005
The dynamic gesture track training based on HMM (hidden Markov model) is one of the key techniques in dynamic gesture recognition. This paper adapts the iteration algorithm of Baum-Welch on the HMM to train and do some research to the performance of dynamic gesture track training from iteration times, sample number selection and model initial value ...
null Wu Xiaojuan, null Zhao Zijian
openaire   +1 more source

Dynamic Gesture Recognition for Social Robots

2017
Interpreting users messages, both verbal and non-verbal is essential to achieve a natural Human-Robot Interaction. Traditionally, Social Robots, and particularly Care Robots, rely on interfaces such as voice, touch or images to acquire information from users although the latter is usually used to locate them.
José Carlos Castillo, David Cáceres-Domínguez, Fernando Alonso-Martín, Álvaro Castro-González, Miguel Ángel Salichs   +4 more
openaire   +1 more source

Dynamic Gesture Recognition Based on LSTM-CNN

2018 Chinese Automation Congress (CAC), 2018
The current research on using surface electromyography (sEMG) for gesture recognition mainly focuses on designing EMG signal features, decent feature designs can significantly improve the result. Nevertheless, the process of designing and selecting features can be complicated, as well as the precision of recognition for different features will be ...
Yuheng Wu, Bin Zheng, Yongting Zhao
openaire   +1 more source

Dynamic Gesture Recognition Sign Language Interpreter

Abstract—Hand gestures, body postures, and body movements are all part of sign language, which has been the first and millions of people's sole language for a long time. However, for them to interact with others, the other person must also understand these sign language.
UrmilaBachate, SubhaSubramaniam
openaire   +1 more source

Dynamic Hand Gesture Recognition Using Centroid Tracking

2015
In 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.
Premaratne, Prashan, Yang, Shuai, Vial, Peter J, Iftikhar, Zubair   +3 more
openaire   +2 more sources

Dynamic gesture recognition for human robot interaction

2009 6th Latin American Robotics Symposium (LARS 2009), 2009
In this article a robust and real-time dynamic hand gesture recognition system meant to allow a natural interaction with a service robot, in dynamic environments, is proposed. The main novelty of the proposed approach is the use of temporal statistics about the hand's positions and velocities as basic information to recognize the gestures.
Jong Lee-Ferng, Javier Ruiz-del-Solar, Rodrigo Verschae, Mauricio Correa   +3 more
openaire   +1 more source

Dynamic Hand Gesture Recognition

2022 IEEE 2nd International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC), 2022
Subash Chandra Bose Jaganathan, Kesavan R, Thevaprakash P, Krishna Basak, Shinjan Verma, Anisha Mital   +5 more
openaire   +1 more source

A Real-Time Dynamic Gesture Recognition System

Applied Mechanics and Materials, 2013
In this paper, we present a dynamic gesture recognition system. We focus on the visual sensory information to recognize human activity in form of hand movements from a small, predefined vocabulary. A fast and effective method is presented for hand detection and tracking at first for the trajectory extraction.
Jiang Guo, Jun Cheng, Yu Guo, Jian Xin Pang   +3 more
openaire   +1 more source

Hand gestures recognition using dynamic Bayesian networks

2013 3rd Joint Conference of AI & Robotics and 5th RoboCup Iran Open International Symposium, 2013
In this study a method for hand gesture recognition using dynamic Bayesian networks was presented. This study includes two main subdivisions namely: hand posture recognition and dynamic hand gesture recognition (without hand posture recognition). In the first session, after hand segmentation using a method based on histogram of direction and fuzzy SVM ...
Somayeh Shiravandi, Mohammad Rahmati, Fariborz Mahmoudi   +2 more
openaire   +1 more source

Learning dynamics for exemplar-based gesture recognition

2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings., 2003
This paper addresses the problem of capturing the dynamics for exemplar-based recognition systems. Traditional HMM provides a probabilistic tool to capture system dynamics and in exemplar paradigm, HMM states are typically coupled with the exemplars. Alternatively, we propose a non-parametric HMM approach that uses a discrete HMM with arbitrary states (
A. Elgammal, V. Shet, Y. Yacoob, L.S. Davis   +3 more
openaire   +1 more source