Results 221 to 230 of about 6,308 (254)

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 0001, David Cáceres-Domínguez, Fernando Alonso-Martín, Álvaro Castro González, Miguel Angel Salichs   +4 more
openaire   +1 more source

Dynamic gesture recognition based on CNN-LSTM-Attention

2021 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2021
Compared with traditional human-computer interaction techniques, gesture recognition is closer to human expression habits and have some advantages of being efficient and easy to master. Vision-based gesture recognition does not require additional equipment, and is very convenient and relatively low cost.
Jinwei Liu, Baoguo Wei, Mingzhi Cai, Yong Xu   +3 more
openaire   +1 more source

Democratizing 3D dynamic gestures recognition

2013 1st IEEE Workshop on User-Centered Computer Vision (UCCV), 2013
Developing vision-based 3D gestures recognition systems requires strong expertise and knowledge in computer vision and machine learning techniques. As human-computer interaction researchers do not generally have a thorough knowledge of these techniques, we developed Gesta.
M. Caon, null Yong Yue, J. Tscherrig, O. A. Khaled, E. Mugellini   +4 more
openaire   +1 more source

Dynamic Hand Gesture Recognition Based On Depth Information

2018 International Conference on Control, Automation and Information Sciences (ICCAIS), 2018
Dynamic 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, Chen Li 0033, Lihua Tian, Hui Song   +3 more
openaire   +1 more source

The Effect of Static and Dynamic Gesture Presentation on the Recognition of Two Manipulation Gestures

2018
Gesture is an important means of nonverbal communication and used in conveying messages before the advent of language. With the development of computer technology, gesture interaction has become a trend of natural and harmonious human-computer interaction.
Wenyuan Yu, Ye Liu 0010, Xiaolan Fu
openaire   +1 more source

A Dynamic Gesture Recognition System based on CIPBR Algorithm

Polibits, 2014
Dynamic 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, Rodrigo C. Neto, Bruno J. T. Fernandes, Byron L. D. Bezerra   +3 more
openaire   +1 more source

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), 2019
This 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, Yen-Cheng Chu, Tsung-Ming Tai, Wen-Jyi Hwang, Po-Wen Cheng, Cheng-Kuang Lee   +5 more
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.
Prashan Premaratne, Shuai Yang, Peter Vial, Zubair Ifthikar   +3 more
openaire   +2 more sources

Featureweighting in dynamic timewarping for gesture recognition in depth data

2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011
We 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, Gabriel Dominguez, Sergio Escalera   +2 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