The Correlation Between the Set of Mental Functions and Emotion Recognition Skills Formation in Children with Autism Spectrum Disorder

Mesnyankina, Kira; Anishchenko, Sergey; Kalinin, Konstantin

doi:10.17759/autdd.2020180402

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…As a result, it can be seen that the classification accuracy is improved [6]. Learning the emotional information contained in the melody of songs to identify the emotional types of other songs has important practical value for the research of emotional computing [7].…”

Section: Introductionmentioning

confidence: 99%

Music Emotion Recognition Model Integrating Deep Learning

2022

IJAID

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With the development of digital music technology, people begin to explore new classification and recognition methods to retrieve target music from massive data. Music is the carrier of emotion, and the recognition research based on music emotion classification has very important objective significance. The purpose of this paper is to study a music emotion recognition model incorporating deep learning. The audio features of music are extracted and screened based on the underlying audio features, fused with the audio features obtained by deep learning, and combined with the CNN-SVM network model for music emotion classification and recognition. The advantages of the two are combined to carry out the task of music emotion classification, and the final comparative experiments are carried out on three different datasets. Experiments show that the CNN-SVM model in this paper, combined with the filtering of the CNN layer and the new chord vector feature, achieves the best results on all three datasets.

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Section: Introductionmentioning

confidence: 99%

Music Emotion Recognition Model Integrating Deep Learning

2022

IJAID

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“…Facial expression recognition (FER) is a necessary process for the next generation of human-computer interaction (HMI) clinical practice and behavioural description [6]. Jain N proposed a combined recurrent neural network method to obtain FER images The proposed hybrid model was evaluated based on two sets of public data and the results were more accurate than the latest method [7].…”

Section: Introductionmentioning

confidence: 99%

Recurrent Neural Networks for Sentiment Classification and Recognition

2021

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Website based sentiment analysis aims to reveal the potential emotional value of non constructive text data, which is very valuable to governments, enterprises and individuals. The purpose of this paper is to study emotion classification based on reverse neural network. In the experiment, we systematically describe the design and implementation of text emotion classification using long memory, short memory and recursive element models. In this paper, a synthesis method based on surface features and deep knowledge is proposed. In addition, LSTM recruitment neural network model is used to improve the classification accuracy to 88%, which is 18% higher than the traditional vector support method based on shallow features.

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Good Behavior Game: History and Modern Trends

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2021

Autism and Developmental Disorders

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The Good Behavior Game is a behavioral procedure aimed to change the behavior of all members of the student group through an interdependent group contingency. Since the middle of 60s years of XX century the Game is used in primary school and preschool groups, as well as in the secondary and high school, in different cultural contexts and in the context of inclusive education also. In presented paper the following points are reflected: the history of the development of the procedure, typical options for conducting, possible categories of participants, types of the aimed behavior, studies of the effectiveness of the Game usage and the factors influencing it. The paper includes step-by-step description of the one of the possible ways of conducting the procedure. Special attention is paid to the issue of using the Game in groups, which include students with autism. The existing precedents are analyzed. The theoretical perspectives for conducting the Game in such conditions are discussed including methodological base and the match between the procedure and cognitive features, which are often found in people with ASD.

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The Correlation Between the Set of Mental Functions and Emotion Recognition Skills Formation in Children with Autism Spectrum Disorder

Cited by 3 publications

References 27 publications

Music Emotion Recognition Model Integrating Deep Learning

Music Emotion Recognition Model Integrating Deep Learning

Recurrent Neural Networks for Sentiment Classification and Recognition

Good Behavior Game: History and Modern Trends

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