Human Emotion Detection and Recognition from Still Images
ثبت نشده
چکیده
For the interaction among human and machine communication systems, extraction and understanding of Emotion is of high importance. The most expressive way to display the human’s emotion is through facial expression analysis. Facial expression is an important channel for human communication and can be applied in many real applications. This paper presents and implements the detection and recognition method of facial expressions and emotion from still image. The main objective of this paper is the real-time implementation of a facial emotion recognition system.
منابع مشابه
Classification of emotional speech using spectral pattern features
Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic Energy features (HEs) for emotion recognition. These features extracted from the spectrogram ...
متن کاملطراحی و پیادهسازی سامانۀ بیدرنگ آشکارسازی و شناسایی پلاک خودرو در تصاویر ویدئویی
An automatic Number Plate Recognition (ANPR) is a popular topic in the field of image processing and is considered from different aspects, since early 90s. There are many challenges in this field, including; fast moving vehicles, different viewing angles and different distances from camera, complex and unpredictable backgrounds, poor quality images, existence of multiple plates in the scene, va...
متن کاملSpeech Emotion Recognition Using Scalogram Based Deep Structure
Speech Emotion Recognition (SER) is an important part of speech-based Human-Computer Interface (HCI) applications. Previous SER methods rely on the extraction of features and training an appropriate classifier. However, most of those features can be affected by emotionally irrelevant factors such as gender, speaking styles and environment. Here, an SER method has been proposed based on a concat...
متن کاملA Comparative Study of Gender and Age Classification in Speech Signals
Accurate gender classification is useful in speech and speaker recognition as well as speech emotion classification, because a better performance has been reported when separate acoustic models are employed for males and females. Gender classification is also apparent in face recognition, video summarization, human-robot interaction, etc. Although gender classification is rather mature in a...
متن کاملA framework for the Recognition of Human Emotion using Soft Computing models
Human-computer intelligent interaction (HCII) is an emerging field of science. The interaction between human beings and computers will be more natural if computers are able to perceive and respond to human non-verbal communication such as emotions. The most expressive way humans display emotions is through facial expressions. In this paper a method for emotion recognition from facial images has...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2014