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Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review
In recent years, the rapid advances in machine learning (ML) and information fusion has
made it possible to endow machines/computers with the ability of emotion understanding …
made it possible to endow machines/computers with the ability of emotion understanding …
A review of affective computing: From unimodal analysis to multimodal fusion
Affective computing is an emerging interdisciplinary research field bringing together
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
researchers and practitioners from various fields, ranging from artificial intelligence, natural …
A review and meta-analysis of multimodal affect detection systems
Affect detection is an important pattern recognition problem that has inspired researchers
from several areas. The field is in need of a systematic review due to the recent influx of …
from several areas. The field is in need of a systematic review due to the recent influx of …
The biovid heat pain database data for the advancement and systematic validation of an automated pain recognition system
The objective measurement of subjective, multi-dimensionally experienced pain is still a
problem that has yet to be adequately solved. Though verbal methods (ie, pain scales …
problem that has yet to be adequately solved. Though verbal methods (ie, pain scales …
Toward emotion recognition from physiological signals in the wild: approaching the methodological issues in real-life data collection
Emotion, mood, and stress recognition (EMSR) has been studied in laboratory settings for
decades. In particular, physiological signals are widely used to detect and classify affective …
decades. In particular, physiological signals are widely used to detect and classify affective …
Multiple classifier systems for the classification of audio-visual emotional states
Research activities in the field of human-computer interaction increasingly addressed the
aspect of integrating some type of emotional intelligence. Human emotions are expressed …
aspect of integrating some type of emotional intelligence. Human emotions are expressed …
[HTML][HTML] Automatic pain quantification using autonomic parameters
The objective measurement of subjective, multi-dimensionally experienced pain is a
problem for which there has not been an adequate solution. Although verbal methods (eg …
problem for which there has not been an adequate solution. Although verbal methods (eg …
A case-based reasoning model for depression based on three-electrode EEG data
H Cai, X Zhang, Y Zhang, Z Wang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Depression, threatening the well-being of millions, has become one of the major diseases in
the past decade. However, the current method of diagnosing depression is questionnaire …
the past decade. However, the current method of diagnosing depression is questionnaire …
Method for distress and road rage detection
US10322728B1 - Method for distress and road rage detection - Google Patents US10322728B1
- Method for distress and road rage detection - Google Patents Method for distress and road …
- Method for distress and road rage detection - Google Patents Method for distress and road …
Hierarchical Bayesian theme models for multipose facial expression recognition
As an essential way of human emotional behavior understanding, facial expression
recognition (FER) has attracted a great deal of attention in multimedia research. Most of …
recognition (FER) has attracted a great deal of attention in multimedia research. Most of …