Recognizing emotional states from biological motion within noise
نویسندگان
چکیده
منابع مشابه
Recognizing Emotional States Using Speech Information.
Emotion recognition plays an important role in several applications, such as human computer interaction and understanding affective state of users in certain tasks, e.g., within a learning process, monitoring of elderly, interactive entertainment etc. It may be based upon several modalities, e.g., by analyzing facial expressions and/or speech, using electroencephalograms, electrocardiograms etc...
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NOISE exists in many different forms [1], but in noise of human origin; in speech and in inarticulate cries, it can be defined as sound whose frequency lies above and below the frequency band 200 Hz-8kHz wherein lies most of the intelligibility of lettered speech [2]. This high frequency sound, from 8 kHz to 40 kHz is also found in the physical environment. Here, it is associated with sounds of...
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1. STATEMENT OF THE PROBLEM To recognize affective states is important in humancomputer interaction. Many researchers are committed to develop methods that can help computers to better understand people’s emotion. Nowadays most work about emotion recognition focus on facial expression analysis. But people’s affect status can be represented through the whole body and facial expression is only on...
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BACKGROUND Schizophrenia patients exhibit deficient processing of perceptual and cognitive information. However, it is not well-understood how basic perceptual deficits contribute to higher level cognitive problems in this mental disorder. Perception of biological motion, a motion-based cognitive recognition task, relies on both basic visual motion processing and social cognitive processing, th...
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ژورنال
عنوان ژورنال: Journal of Vision
سال: 2010
ISSN: 1534-7362
DOI: 10.1167/8.6.915