Emotional expression and micro-expression recognition in depressive patients
نویسندگان
چکیده
منابع مشابه
Emotional Context Influences Micro-Expression Recognition
Micro-expressions are often embedded in a flow of expressions including both neutral and other facial expressions. However, it remains unclear whether the types of facial expressions appearing before and after the micro-expression, i.e., the emotional context, influence micro-expression recognition. To address this question, the present study used a modified METT (Micro-Expression Training Tool...
متن کاملAltered emotional recognition and expression in patients with Parkinson’s disease
Background Parkinson's disease (PD) patients exhibit deficits in emotional recognition and expression abilities, including emotional faces and voices. The aim of this study was to explore emotional processing in pre-deep brain stimulation (pre-DBS) PD patients using two sensory modalities (visual and auditory). Methods Fifteen PD patients who needed DBS surgery and 15 healthy, age- and gender...
متن کاملHuman Emotional Facial Expression Recognition
An automatic Facial Expression Recognition (FER) model with Adaboost face detector, feature selection based on manifold learning and synergetic prototype based classifier has been proposed. Improved feature selection method and proposed classifier can achieve favorable effectiveness to performance FER in reasonable processing time.
متن کاملFor micro-expression recognition: Database and suggestions
Micro-expression is gaining more attention in both the scientific field and the mass media. It represents genuine emotions that people try to conceal, thus making it a promising cue for lie detection. Since micro-expressions are considered almost imperceptible to naked eyes, researchers have sought to automatically detect and recognize these fleeting facial expressions to help people make use o...
متن کاملEmotional Expression Recognition using Support Vector Machines
The objective of this paper is to apply Support Vector Machines to the problem of classifying emotion on images of human faces. This welldefined problem is complicated by the natural variation in people’s faces, requiring the classification algorithm to distinguish the small number of relevant features from the large pool of input features. Recent experimentation using neural networks has achie...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Chinese Science Bulletin
سال: 2018
ISSN: 0023-074X
DOI: 10.1360/n972017-01272