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    A novel facial feature extraction method based on ICM network for affective recognition 

    Type: Journal Paper
    Author : F. Mokhayeri; M.-R. Akbarzadeh-T.
    Year: 2011
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    Mental stress detection using physiological signals based on soft computing techniques 

    Type: Journal Paper
    Author : F. Mokhayeri; M-R. Akbarzadeh-T; S. Toosizadeh
    Year: 2011
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    A Novel Facial Feature Extraction Method Based on ICM Network for Affective Recognition 

    Type: Conference Paper
    Author : F. Mokhayeri; محمدرضا اکبرزاده توتونچی; Mohammad Reza Akbarzadeh Totonchi
    Year: 2011
    Abstract:

    This paper presents a facial expression recognition

    approach to recognize the affective states. Feature extraction is

    a vital step in the recognition of facial expressions. In this work,

    a novel facial ...

    Mental Stress Detection Based on Soft Computing Techniques 

    Type: Conference Paper
    Author : F. Mokhayeri; محمدرضا اکبرزاده توتونچی; Mohammad Reza Akbarzadeh Totonchi
    Year: 2011
    Abstract:

    In this study, a novel approach is proposed for

    mental stress recognition through automatic analysis of eye

    video sequences. The proposed system consists of five stages:

    video capturing, fuzzy image ...

    A Novel Approach for Pupil Diameter Measurement Based on Soft Computing Techniques 

    Type: Conference Paper
    Author : F. Mokhayeri; S. Toosizadeh; محمدرضا اکبرزاده توتونچی; Mohammad Reza Akbarzadeh Totonchi
    Year: 2011
    Abstract:

    In this paper, a hybrid approach for the pupil

    diameter (PD) measurement from the eye video is described. The

    proposed algorithm is composed of five main stages; data

    acquisition, pre-processing, edge ...

    A Novel Method for Pupil Diameter Measurement based on Fuzzy Techniques 

    Type: Conference Paper
    Author : F. Mokhayeri; S.Toosizadeh; محمدرضا اکبرزاده توتونچی; F. Ghasemzadeh-R; Mohammad Reza Akbarzadeh Totonchi
    Year: 2011
    Abstract:

    This paper proposes a fuzzy-based algorithm for measurement of the pupil diameter (PD) from the pupil video.The proposed algorithm consists of fourstages: data

    acquisition, preprocessing, edge detection, and ...

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