Results 51 to 60 of about 388,710 (337)

Research of psycho-emotional stability in the basal emotions matrix [PDF]

Национальный психологический журнал, 2016
The paper presents the analysis of psycho-emotional state estimation, which is based on the facial feedback monitoring. The myographic research data revealed qualitative and quantitative singularities of epileptics on the range of basal emotion ...
Vyacheslav T. Volov, Vsevolod V. Volov
doaj   +1 more source

High Therapeutic and Esthetic Properties of Extracellular Vesicles Produced from the Stem Cells and Their Spheroids Cultured from Ocular Surgery-Derived Waste Orbicularis Oculi Muscle Tissues

Antioxidants, 2021
Extracellular vesicles (EVs) are paracrine factors that mediate stem cell therapeutics. We aimed at evaluating the possible therapeutic and esthetic applications of EVs prepared from the waste human facial tissue-derived orbicularis oculi muscle stem ...
Kyung Min Lim, Ahmed Abdal Dayem, Yujin Choi, Yoonjoo Lee, Jongyub An, Minchan Gil, Soobin Lee, Hee Jeong Kwak, Balachandar Vellingirl, Hyun Jin Shin, Ssang-Goo Cho   +10 more
doaj   +1 more source

Affective Medicine: a review of Affective Computing efforts in Medical Informatics [PDF]

, 2010
Background: Affective computing (AC) is concerned with emotional interactions performed with and through computers. It is defined as “computing that relates to, arises from, or deliberately influences emotions”. AC enables investigation and understanding
Bamidis, Panagiotis, Konstantinidis, Evdokimos, Luneski, Andrej   +2 more
core   +1 more source

Unlocking Human-Like Facial Expressions in Humanoid Robots: A Novel Approach for Action Unit Driven Facial Expression Disentangled Synthesis

IEEE Transactions on robotics
Humanoid robots often struggle to express the intricate and authentic facial expressions characteristic of humans, potentially hampering user engagement.
Xiaofeng Liu, Rongrong Ni, Biao Yang, Siyang Song, Angelo Cangelosi   +4 more
openalex   +3 more sources

Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis [PDF]

Computer Vision and Pattern Recognition
The relationship between muscle activity and resulting facial expressions is crucial for various fields, including psychology, medicine, and entertainment.
Tim Büchner, Christoph Anders, Orlando Guntinas‐Lichius, Joachim Denzler   +3 more
openalex   +2 more sources

cGAN Based Facial Expression Recognition for Human-Robot Interaction

IEEE Access, 2019
As an emerging research topic for proximity service (ProSe), automatic emotion recognition enables the machines to understand the emotional changes of human beings which can not only facilitate natural, effective, seamless, and advanced human-robot ...
Jia Deng, Gaoyang Pang, Zhiyu Zhang, Zhibo Pang, Huayong Yang, Geng Yang   +5 more
doaj   +1 more source

A survey on mouth modeling and analysis for Sign Language recognition [PDF]

, 2015
© 2015 IEEE.Around 70 million Deaf worldwide use Sign Languages (SLs) as their native languages. At the same time, they have limited reading/writing skills in the spoken language.
Antonakos, E, Roussos, A, Zafeiriou, S
core   +2 more sources

Language, Speech, and Facial Expression Features for Artificial Intelligence–Based Detection of Cancer Survivors’ Depression: Scoping Meta-Review

JMIR Mental Health, 2021
BackgroundCancer survivors often experience disorders from the depressive spectrum that remain largely unrecognized and overlooked.
Urška Smrke, Izidor Mlakar, Simon Lin, Bojan Musil, Nejc Plohl   +4 more
doaj   +1 more source

Using Photorealistic Face Synthesis and Domain Adaptation to Improve Facial Expression Analysis

, 2019
Cross-domain synthesizing realistic faces to learn deep models has attracted increasing attention for facial expression analysis as it helps to improve the performance of expression recognition accuracy despite having small number of real training images.
Bozorgtabar, Behzad, Ekenel, Hazim Kemal, Rad, Mohammad Saeed, Thiran, Jean-Philippe   +3 more
core   +1 more source

Generative Adversarial Networks in Human Emotion Synthesis: A Review

IEEE Access, 2020
Deep generative models have become an emerging topic in various research areas like computer vision and signal processing. These models allow synthesizing realistic data samples that are of great value for both academic and industrial communities ...
Noushin Hajarolasvadi, Miguel Arjona Ramirez, Wesley Beccaro, Hasan Demirel   +3 more
doaj   +1 more source