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Human emotion recognition: Review of sensors and methods
Automated emotion recognition (AEE) is an important issue in various fields of activities
which use human emotional reactions as a signal for marketing, technical equipment, or …
which use human emotional reactions as a signal for marketing, technical equipment, or …
A review of emotion recognition methods based on data acquired via smartphone sensors
In recent years, emotion recognition algorithms have achieved high efficiency, allowing the
development of various affective and affect-aware applications. This advancement has taken …
development of various affective and affect-aware applications. This advancement has taken …
Two-layer fuzzy multiple random forest for speech emotion recognition in human-robot interaction
The two-layer fuzzy multiple random forest (TLFMRF) is proposed for speech emotion
recognition. When recognizing speech emotion, there are usually some problems. One is …
recognition. When recognizing speech emotion, there are usually some problems. One is …
Automatic detection and classification of emotional states in virtual reality and standard environments (LCD): comparing valence and arousal of induced emotions
The following case study was carried out on a sample of one experimental and one control
group. The participants of the experimental group watched the movie section from the …
group. The participants of the experimental group watched the movie section from the …
Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects
In recent years, emotion recognition has received significant attention, presenting a plethora
of opportunities for application in diverse fields such as human–computer interaction …
of opportunities for application in diverse fields such as human–computer interaction …
Multimodality in language education: implications of a multimodal affective perspective in foreign language teaching
X Guo - Frontiers in Psychology, 2023 - frontiersin.org
Foreign language learners often encounter various emotional challenges within academic
environments, which can hinder their progress in develo** literacy skills. Effective …
environments, which can hinder their progress in develo** literacy skills. Effective …
A model for providing emotion awareness and feedback using fuzzy logic in online learning
Monitoring users' emotive states and using that information for providing feedback and
scaffolding is crucial. In the learning context, emotions can be used to increase students' …
scaffolding is crucial. In the learning context, emotions can be used to increase students' …
Designing IoT solutions for elderly home care: a systematic study of participatory design, personas and semiotics
Population aging is one of the most difficult challenges in the next years. The increase of life
expectancy is one of the most important human achievements in the 21st century. Despite …
expectancy is one of the most important human achievements in the 21st century. Despite …
Improving flood forecasting through feature selection by a genetic algorithm–experiments based on real data from an amazon rainforest river
This paper addresses the problem of feature selection aiming to improve a flood forecasting
model. The proposed model is carried out through a case study that uses 18 different time …
model. The proposed model is carried out through a case study that uses 18 different time …
Enhancing intelligence in multimodal emotion assessments
Computer systems are a part of everyday life, since they influence human behavior and
stimulate changes in the emotional states of the users. The assessment of users' emotions …
stimulate changes in the emotional states of the users. The assessment of users' emotions …