Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder

Lima, Antonio Marcos Oliveira de; Medeiros, Maxson Ramon dos Anjos; Costa, Paula Dornhofer Paro; Azoni, Cíntia Alves Salgado

doi:10.1590/1982-02162019/21112318

Cited by 7 publications

(6 citation statements)

References 24 publications

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“…The above is the content of vocal music emotion recognition. Lima et al [ 12 ] analyzed that sound is often used by humans to express inner feelings and is one of the ways of communication. Geraets et al [ 13 ] believe that the emotional information contained in the signal becomes an important channel for understanding things.…”

Section: Introductionmentioning

confidence: 99%

Design of Interactive Vocal Guidance and Artistic Psychological Intervention System Based on Emotion Recognition

Yuan

2022

Occupational Therapy International

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The research on artistic psychological intervention to judge emotional fluctuations by extracting emotional features from interactive vocal signals has become a research topic with great potential for development. Based on the interactive vocal music instruction theory of emotion recognition, this paper studies the design of artistic psychological intervention system. This paper uses the vocal music emotion recognition algorithm to first train the interactive recognition network, in which the input is a row vector composed of different vocal music characteristics, and finally recognizes the vocal music of different emotional categories, which solves the problem of low data coupling in the artistic psychological intervention system. Among them, the vocal music emotion recognition experiment based on the interactive recognition network is mainly carried out from six aspects: the number of iterative training, the vocal music instruction rate, the number of emotion recognition signal nodes in the artistic psychological intervention layer, the number of sample sets, different feature combinations, and the number of emotion types. The input data of the system is a training class learning video, and actions and expressions need to be recognized before scoring. In the simulation process, before the completion of the sample indicators is unbalanced, the R language statistical analysis tool is used to balance the existing unbalanced data based on the artificial data synthesis method, and 279 uniformly classified samples are obtained. The 279 ∗ 7 dataset was used for statistical identification of the participants. The experimental results show that under the guidance of four different interactive vocal music, the vocal emotion recognition rate is between 65.85%-91.00%, which promotes the intervention of music therapy on artistic psychological intervention.

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Section: Introductionmentioning

confidence: 99%

Design of Interactive Vocal Guidance and Artistic Psychological Intervention System Based on Emotion Recognition

Yuan

2022

Occupational Therapy International

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“…Depending on the level, individuals with ASD can also have difficulty interacting in collaborative environments and performing actions such as teamwork or public speaking due to the difficulty of muscle analysis and face expression recognition [17,18]. The development of software with the aim of contributing to this task for ASD individuals has been increasingly employed in our society according to data from an investigation into the global panorama of solutions published in the work presented by [4]. Software for this task that employs SG for the process of improving these skills are being explored in this area.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…According to the authors in [3], facial emotion recognition is a fundamental concept within the field of social cognition. Individuals with autism spectrum disorder (ASD) may have characteristics related to repetitive behavior patterns, impaired social interaction, impaired verbal and nonverbal communication, and limited social-emotional reciprocity present from childhood [4]. People with ASD can present difficulty improving and developing important socialemotional skills throughout life [5].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, these tools can be used on several devices and platforms, such as tablets, desktops, and smartphones. The development of techniques with ICT in digital game environments is being adopted in our society according to data published in the study presented in [4]. One of the approaches employed in this context is the use of serious games (SGs).…”

Section: Introductionmentioning

confidence: 99%

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Recognition of Emotions for People with Autism: An Approach to Improve Skills

Dantas

Nascimento

2022

International Journal of Computer Games Technology

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Autism spectrum disorder refers to a neurodevelopmental disorders characterized by repetitive behavior patterns, impaired social interaction, and impaired verbal and nonverbal communication. The ability to recognize mental states from facial expressions plays an important role in both social interaction and interpersonal communication. Thus, in recent years, several proposals have been presented, aiming to contribute to the improvement of emotional skills in order to improve social interaction. In this paper, a game is presented to support the development of emotional skills in people with autism spectrum disorder. The software used helps to develop the ability to recognize and express six basic emotions: joy, sadness, anger, disgust, surprise, and fear. Based on the theory of facial action coding systems and digital image processing techniques, it is possible to detect facial expressions and classify them into one of the six basic emotions. Experiments were performed using four public domain image databases (CK+, FER2013, RAF-DB, and MMI) and a group of children with autism spectrum disorder for evaluating the existing emotional skills. The results showed that the proposed software contributed to improvement of the skills of detection and recognition of the basic emotions in individuals with autism spectrum disorder.

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“…Facial emotion identification is a fundamental idea in the study of social cognition, claim the authors of [3]. Autism spectrum disease (ASD) sufferers may exhibit repetitive behaviour patterns, difficulty interacting with others, poor verbal and nonverbal communication, and inadequate social-emotional reciprocity from an early age [4]. Throughout their lives, people with ASD may struggle to learn and develop critical social emotional skills [5].…”

Section: Introductionmentioning

confidence: 99%

Exploration of Emotion Analysis and Personalized Emotion Adjustment Algorithm in English Learning Process

Liang

2024

jes

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An important component of human existence and behaviour is emotion. The automatic identification of emotions has gained significant importance in the domains of affective computing and human-machine interaction in recent times. Getting pictures of people's facial expressions is one of the simplest and least expensive methods for identifying emotions among the several physiological and kinematic data that may be utilised. Because of variations in anatomy, culture, and environment, developing a generalised, cross-subject model for emotion identification from facial expression remains difficult.This study presents an intelligent classroom that uses e-learning to help persons with autism spectrum condition strengthen their emotional abilities. Monitoring autism child engagement and participation in class while looking for signs of attention is necessary for effective classroom education. Teaching quality is increasingly being determined by the teachers' capacity to assess and evaluate the behaviour of their pupils in the classroom. Modern classroom systems are enhanced with the most recent technologies in educational institutions to make them more interactive, student-centered, and personalised. Even with these tools, it can be challenging for teachers to gauge their pupils' levels of interest and focus. This study makes use of contemporary technology to establish a real-time, intelligent vision-based classroom that can track students' moods, attendance, and levels of focus even when they are wearing face masks. In order to evaluate students' attention or lack thereof in a classroom, we trained AlexNet models that recognise student behaviour, including recognising facial expressions. Another designed to manage the irregular relationship between pupils and activities is the Interaction Students Education Neural Network ( Int_Edu_NN). The Q-matrix is used to firstly determine the pupil variable and the assignment indicator. This network is analyzed using two datasets in terms of various parameters and hence the proposed Int_Edu_NN achieves 99.% and 98% of accuracy.

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Analysis of softwares for emotion recognition in children and teenagers with autism spectrum disorder

Cited by 7 publications

References 24 publications

Design of Interactive Vocal Guidance and Artistic Psychological Intervention System Based on Emotion Recognition

Design of Interactive Vocal Guidance and Artistic Psychological Intervention System Based on Emotion Recognition

Recognition of Emotions for People with Autism: An Approach to Improve Skills

Exploration of Emotion Analysis and Personalized Emotion Adjustment Algorithm in English Learning Process

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