BACKGROUND This study was designed to assess whether children with a sensory disability have consistent delays in acquiring emotion recognition and emotion understanding abilities. METHOD Younger (6-11 years) and older (12-18 years) hearing-impaired children (HI; n = 49), vision-impaired children (VI; n = 42), and children with no sensory impairment (NSI; n = 72) were assessed with the Emotio...

We present a speech signal driven emotion recognition system. Our system is trained and tested with the INTERSPEECH 2009 Emotion Challenge corpus, which includes spontaneous and emotionally rich recordings. The challenge includes classifier and feature sub-challenges with five-class and two-class classification problems. We investigate prosody related, spectral and HMM-based features for the ev...

BACKGROUND Patients with schizophrenia perform significantly worse on emotion recognition tasks than healthy participants across several sensory modalities. Emotion recognition abilities are correlated with the severity of clinical symptoms, particularly negative symptoms. However, the relationships between specific deficits of emotion recognition across sensory modalities and the presentation ...

Psychologically, emotion is related to someone’s feeling in particular condition. Some fields like: health, psychology, and police investigation need the information of emotion recognition. Human’s emotion can be classified into six types include happy, sad, angry, fear, disgusted, and normal. Psychologically, there are some methods that can be used to emotion recognition, like self-report anal...

Emotion recognition, a key step of affective computing, is the process of decoding an embedded emotional message from human communication signals, e.g. visual, audio, and/or other physiological cues. It is well-known that speech is the main channel for human communication and thus vital in the signalling of emotion and semantic cues for the correct interpretation of contexts. In the verbal chan...

In this paper, a Mandarin speech based emotion classification method is presented. Five primary human emotions including anger, boredom, happiness, neutral and sadness are investigated. For speech emotion recognition, we select 16 LPC coefficients, 12 LPCC components, 16 LFPC components, 16 PLP coefficients, 20 MFCC components and jitter as the basic features to form the feature vector. Two tex...

Previous research has yielded inconsistent findings regarding the ability of individuals with eating disorders (EDs) to recognize facial emotion, making the clinical features of this population hard to determine. This study tested the hypothesis that where observed, emotion recognition deficits exhibited by patients with EDs are due to alexithymia, a co-occurring condition also associated with ...

Emotion recognition is the ability to identify what people would think someone is feeling from moment to moment and understand the connection between his/her feelings and expressions. In today’s world, human–computer interaction (HCI) interface undoubtedly plays an important role in our daily life. Toward harmonious HCI interface, automated analysis and recognition of human emotion has attracte...

Patients with frontotemporal dementia have pervasive changes in emotion recognition and social cognition, yet the neural changes underlying these emotion processing deficits remain unclear. The multimodal system model of emotion proposes that basic emotions are dependent on distinct brain regions, which undergo significant pathological changes in frontotemporal dementia. As such, this syndrome ...