Making human鈥揷omputer interaction more organic and personalized for users essentially demands advancement in human emotion recognition. Emotions are perceived by humans considering multiple factors such as facial expressions, voice tonality, and information context. Although significant research has been ...
Personality and emotion as intrinsic factors often have great influences on the cognition of people's behavior. In computer vision, there is a lot of work done on the recognition of emotions, such as classification of a person's emotions via analyzing facial expressions. Relatively there is less...
In addition, emotion recognition, especially facial emotion recognition, has long been crucial in the human–computer interaction (HCI) field, as it helps computers efficiently interact with humans. Recently, several scientific studies have been conducted on facial emotion recognition (FER) in an ...
We present a learning model for multimodal context-aware emotion recognition. Our approach combines multiple human co-occurring modalities(such as facial, ... T Mittal,A Bera,D Manocha - 《IEEE Multimedia》 被引量: 0发表: 2021年 Application of Artificial Intelligence in Symptom Monitoring in Adu...
Dey:“emotion, focus of concentration, location, adaption, date and time, nearby things, nearby people”(Shin et al.2009; Dey2001). The ability to analyze a contextual environment allows for improving recommendations provided to the user. ...
In recent years, there has been an increasing interest in exploiting contextual information on emotion recognition. Some previous explorations in psychology show that emotional perception is impacted by facial expressions, as well as contextual information from the scene, such as hu...
Aniket BeraDinesh ManochaPooja GuhanRohan ChandraTrisha MittalUttaran Bhattacharya
Context-learningLong short-term memoryTime-continuous dataMulti-dimensional dataModern research in the field of automatic emotion recognition systems are often dealing with acted affective databases. However, such data is far from the real-world problems. Human-computer interaction systems are extending ...
Barolli, "Semantic Valence Modeling: Emotion Recognition and Affective States in Context-Aware Systems," 2014 28th Int. Conf. Adv. Inf. Netw. Appl. Work., pp. 536- 541, May 2014.Philip Moore , Fatos Xhafa , Leonard Barolli, Semantic Valence Modeling: Emotion Recognition and Affective States...
Emotion recognitionNonverbal signals processingInteraction analysisDeep learningPersonality and emotion as intrinsic factors often have great influences on the cognition of people's behavior. In computer vision, there is a lot of work done on the recognition of emotions, such as classification of a ...