Results 71 to 80 of about 8,003 (296)

Dynamic Hand Gesture Recognition Based on a Leap Motion Controller and Two-Layer Bidirectional Recurrent Neural Network

Sensors, 2020
Dynamic hand gesture recognition is one of the most significant tools for human–computer interaction. In order to improve the accuracy of the dynamic hand gesture recognition, in this paper, a two-layer Bidirectional Recurrent Neural Network for the ...
Linchu Yang, Ji’an Chen, Weihang Zhu
doaj   +1 more source

Design and Implementation of Virtual Reality Interactive Product Software Based on Artificial Intelligence Deep Learning Algorithm

Advances in Multimedia, 2022
The aim of this study is to improve the interactive needs of artificial intelligence in the virtual reality environment. Based on the in-depth study of the interactive needs of virtual reality, a virtual reality interactive glove based on nine-axis ...
Yi Wang, Junhai Sun
doaj   +1 more source

A Depth-based Approach for 3D Dynamic Gesture Recognition

Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics, 2015
In this paper we propose a recognition technique of 3D dynamic gesture for human robot interaction (HRI) based on depth information provided by Kinect sensor. The body is tracked using the skeleton algorithm provided by the Kinect SDK. The main idea of this work is to compute the angles of the upper body joints which are active when executing gesture ...
Hiyadi, Hajar, Ababsa, Fakhr-Eddine, Montagne, Christophe, Bouyakhf, El Houssine, Regragui, Fakhita   +4 more
openaire   +2 more sources

Automatic emotional state detection using facial expression dynamic in videos [PDF]

, 2014
In this paper, an automatic emotion detection system is built for a computer or machine to detect the emotional state from facial expressions in human computer communication.
Huang, D, Di Huang, Meng, H, Hongying Meng   +3 more
core   +1 more source

Dynamic gesture recognition results (a.lr = 0.01; b.lr = 0.001).

, 2023
Dynamic gesture recognition results (a.lr = 0.01; b.lr = 0.001).
Yan Feng (128912)
core   +1 more source

pH‐mediated activation of the lysosomal arginine sensor SLC38A9

FEBS Letters, EarlyView.
Cells monitor nutrient levels via the lysosomal transporter SLC38A9 to activate the mechanistic target of rapamycin complex 1 (mTORC1). This study reveals that SLC38A9 function is regulated by pH. We identified histidine 544 as a critical pH sensor that undergoes conformational changes to control amino acid efflux from lysosomes; therefore, it ...
Xuelang Mu, Ampon Sae Her, Tamir Gonen
wiley   +1 more source

Deep Learning-Based Approach for Sign Language Gesture Recognition With Efficient Hand Gesture Representation

IEEE Access, 2020
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 gesture recognition is the translation of sign language, which is a ...
Muneer Al-Hammadi, Ghulam Muhammad, Wadood Abdul, Mansour Alsulaiman, Mohammed A. Bencherif, Tareq S. Alrayes, Hassan Mathkour, Mohamed Amine Mekhtiche   +7 more
doaj   +1 more source

Residual tail twisting in ascidian larvae is stabilized by asymmetric myofibrils that resist bilateral symmetry restoration

FEBS Letters, EarlyView.
Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure, Misaki K. Nishio, Satoru Okuda, Kohji Hotta   +3 more
wiley   +1 more source

Application of gesture recognition based on domain transfer learning and SimSiam network in education management

Journal of Applied Science and Engineering
As one of the important components of augmented reality system, gesture recognition is widely used in virtual reality, intelligent interaction and human-machine interface.
Xiaoxu He
doaj   +1 more source

Hand posture recognition using SURF with adaptive boosting [PDF]

, 2012
An approach making use of SURF feature and Adaboost for hand posture recognition is proposed. First the SURF key points are extracted to describe the blob or ridge-like structures from grey level images. These are potential points of interest that can be
Yao, Yi, Li, Chang-Tsun
core