Emotion recognition using different sensors, emotion models, methods and datasets: A comprehensive review

Y Cai, X Li, J Li - Sensors, 2023 - mdpi.com
In recent years, the rapid development of sensors and information technology has made it
possible for machines to recognize and analyze human emotions. Emotion recognition is an …

Emotion on the road—necessity, acceptance, and feasibility of affective computing in the car

F Eyben, M Wöllmer, T Poitschke… - Advances in Human …, 2010 - Wiley Online Library
Besides reduction of energy consumption, which implies alternate actuation and light
construction, the main research domain in automobile development in the near future is …

Emotion and sentiment analysis from Twitter text

K Sailunaz, R Alhajj - Journal of computational science, 2019 - Elsevier
Online social networks have emerged as new platform that provide an arena for people to
share their views and perspectives on different issues and subjects with their friends, family …

Emotion detection from text and speech: a survey

K Sailunaz, M Dhaliwal, J Rokne, R Alhajj - Social Network Analysis and …, 2018 - Springer
Emotion recognition has emerged as an important research area which may reveal some
valuable input to a variety of purposes. People express their emotions directly or indirectly …

Robust multimodal emotion recognition from conversation with transformer-based crossmodality fusion

B Xie, M Sidulova, CH Park - Sensors, 2021 - mdpi.com
Decades of scientific research have been conducted on developing and evaluating methods
for automated emotion recognition. With exponentially growing technology, there is a wide …

Emotion recognition from EEG using higher order crossings

PC Petrantonakis… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
Electroencephalogram (EEG)-based emotion recognition is a relatively new field in the
affective computing area with challenging issues regarding the induction of the emotional …

[HTML][HTML] Humans are not machines—anthropocentric human–machine symbiosis for ultra-flexible smart manufacturing

Y Lu, JS Adrados, SS Chand, L Wang - Engineering, 2021 - Elsevier
Dedicated manufacturing systems are fading out as future manufacturing (ie, Industry 4.0 [1])
demands ultra-flexible smart manufacturing systems that can self-adapt to production …

Emotion recognition from brain signals using hybrid adaptive filtering and higher order crossings analysis

PC Petrantonakis… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
This paper aims at providing a new feature extraction method for a user-independent
emotion recognition system, namely, HAF-HOC, from electroencephalograms (EEGs). A …

A novel emotion elicitation index using frontal brain asymmetry for enhanced EEG-based emotion recognition

PC Petrantonakis… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
This paper aims at providing a novel method for evaluating the emotion elicitation
procedures in an electroencephalogram (EEG)-based emotion recognition setup. By …

Recognition of facial expressions and measurement of levels of interest from video

M Yeasin, B Bullot, R Sharma - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
This paper presents a spatio-temporal approach in recognizing six universal facial
expressions from visual data and using them to compute levels of interest. The classification …