Results 21 to 30 of about 4,696,743 (282)

RECOGNITION OF DYNAMIC LITHUANIAN LANGUAGE GESTURES

Mokslas - Lietuvos ateitis, 2023
This paper proposes a method for automated Lithuanian hands gestures data collection and for Lithuanian hands gestures classification. The dataset of 1100 samples was collected for 10 different classes of Lithuanian hands gesture. The features of hands gestures were extracted with CNN network. The classification was made with LSTM network.
Karmonas, Arnas, Katkevičius, Andrius
openaire   +2 more sources

Micro-motion Hand Gesture Recognition Method Based on Improved Multiple Dimensional Convolution Neural Network [PDF]

Jisuanji gongcheng, 2018
For the traditional Two Dimensional Convolutional Neural Network(2D-CNN),the time dimension information is lost,and thus the dynamic gesture cannot be recognized.This paper proposes a novel dynamic hand gesture recognition method based on video streams ...
LI Lingxia,WANG Yu,WU Jinjun,WANG Shasha
doaj   +1 more source

Gesture and Action Recognition by Evolved Dynamic Subgestures [PDF]

Procedings of the British Machine Vision Conference 2015, 2015
This paper introduces a framework for gesture and action recognition based on the evolution of temporal gesture primitives, or subgestures. Our work is inspired on the principle of producing genetic variations within a population of gesture subsequences, with the goal of obtaining a set of gesture units that enhance the generalization capability of ...
Víctor Ponce-López, Hugo Jair Escalante, Sergio Escalera, Xavier Baró   +3 more
openaire   +3 more sources

Real time hand gesture recognition including hand segmentation and tracking [PDF]

, 2006
In this paper we present a system that performs automatic gesture recognition. The system consists of two main components: (i) A unified technique for segmentation and tracking of face and hands using a skin detection algorithm along with handling ...
Sutherland, Alistair, Thomas Coogan, Junwei Han, Han, Junwei, Coogan, Thomas, Awad, George M., George Awad, Alistair Sutherland   +7 more
core   +2 more sources

Dynamic Gesture Recognition Based on MEMP Network [PDF]

Future Internet, 2019
In recent years, gesture recognition has been used in many fields, such as games, robotics and sign language recognition. Human computer interaction (HCI) has been significantly improved by the development of gesture recognition, and now gesture recognition in video is an important research direction.
Xinyu Zhang 0011, Xiaoqiang Li
openaire   +3 more sources

Skeleton-Based Dynamic Hand Gesture Recognition Using an Enhanced Network with One-Shot Learning

Applied Sciences, 2020
Dynamic hand gesture recognition based on one-shot learning requires full assimilation of the motion features from a few annotated data. However, how to effectively extract the spatio-temporal features of the hand gestures remains a challenging issue ...
Chunyong Ma, Shengsheng Zhang, Anni Wang, Yongyang Qi, Ge Chen   +4 more
doaj   +1 more source

3D Gesture Recognition and Adaptation for Human–Robot Interaction

IEEE Access, 2022
Gesture-based human-robot interaction has been an important area of research in recent years. The primary aspect for the researchers has always been to create a gesture detection system that is insensitive to lighting and backdrop surroundings.
Jubayer Al Mahmud, Bandhan Chandra Das, Jungpil Shin, Khan Md. Hasib, Rifat Sadik, M. F. Mridha   +5 more
doaj   +1 more source

Smart-Data-Glove-Based Gesture Recognition for Amphibious Communication

Micromachines, 2023
This study has designed and developed a smart data glove based on five-channel flexible capacitive stretch sensors and a six-axis inertial measurement unit (IMU) to recognize 25 static hand gestures and ten dynamic hand gestures for amphibious ...
Liufeng Fan, Zhan Zhang, Biao Zhu, Decheng Zuo, Xintong Yu, Yiwei Wang   +5 more
doaj   +1 more source

Exploiting domain transformation and deep learning for hand gesture recognition using a low-cost dataglove

Scientific Reports, 2022
Hand gesture recognition is one of the most widely explored areas under the human–computer interaction domain. Although various modalities of hand gesture recognition have been explored in the last three decades, in recent years, due to the availability ...
Md. Ahasan Atick Faisal, Farhan Fuad Abir, Mosabber Uddin Ahmed, Md Atiqur Rahman Ahad   +3 more
doaj   +1 more source

Simultaneous Localization and Recognition of Dynamic Hand Gestures [PDF]

2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1, 2005
A method for the simultaneous localization and recognition of dynamic hand gestures is proposed. At the core of this method is a dynamic space-time warping (DSTW) algorithm, that aligns a pair of query and model gestures in both space and time. For every frame of the query sequence, feature detectors generate multiple hand region candidates.
Alon, Jonathan, Athitsos, Vassilis, Yuan, Quan, Sclaroff, Stan   +3 more
openaire   +2 more sources