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  • Open Access

    ARTICLE

    Rien ne sert de courir, il faut partir à point ; Leçons apprises d’une intervention psychologique en oncologie : de l’importance de conduire des études pilotes et/ou de faisabilité dans les interventions complexes

    Sophie Lelorain1,*, Christelle Duprez2, Laura Caton2, Marie-Mai Nguyen2, Gildas d’Almeida2, Guillaume Piessen3, Alexis Cortot4

    Psycho-Oncologie, Vol.17, No.3, pp. 201-209, 2023, DOI:10.32604/po.2023.044910

    Abstract Cet article retrace l’histoire d’un projet de recherche qui a échoué. Nous avons conçu et implémenté une intervention psychologique visant à augmenter les compétences émotionnelles des patient·e·s atteint·e·s de cancer œsogastrique ou de cancer du poumon, après leurs traitements. L’étude était un essai contrôlé randomisé dans un hôpital public. Nous présentons le protocole final de l’étude, décrivons les difficultés rencontrées et nos réflexions à ce sujet, afin de transmettre notre expérience et les messages clefs qui vont avec aux chercheur·e·s et clinicien·ne·s pour la mise en œuvre de telles interventions. Tout d’abord, le rôle de… More >

  • Open Access

    ARTICLE

    Deep Facial Emotion Recognition Using Local Features Based on Facial Landmarks for Security System

    Youngeun An, Jimin Lee, EunSang Bak*, Sungbum Pan*

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1817-1832, 2023, DOI:10.32604/cmc.2023.039460

    Abstract Emotion recognition based on facial expressions is one of the most critical elements of human-machine interfaces. Most conventional methods for emotion recognition using facial expressions use the entire facial image to extract features and then recognize specific emotions through a pre-trained model. In contrast, this paper proposes a novel feature vector extraction method using the Euclidean distance between the landmarks changing their positions according to facial expressions, especially around the eyes, eyebrows, nose, and mouth. Then, we apply a new classifier using an ensemble network to increase emotion recognition accuracy. The emotion recognition performance was More >

  • Open Access

    ARTICLE

    Effect of Online Social Networking on Emotional Status and Its Interaction with Offline Reality during the Early Stage of the COVID-19 Pandemic in China

    Xiaolin Lu1,*, Xiaolei Miao2

    International Journal of Mental Health Promotion, Vol.25, No.9, pp. 1041-1052, 2023, DOI:10.32604/ijmhp.2023.030232

    Abstract Background: During the early stages of the COVID-19 pandemic in China, social interactions shifted to online spaces due to lock-downs and social distancing measures. As a result, the impact of online social networking on users’ emotional status has become stronger than ever. This study examines the association between online social networking and Internet users’ emotional status and how offline reality affects this relationship. Methods: The study utilizes cross-sectional online survey data (n = 3004) and Baidu Migration big data from the first 3 months of the pandemic. Two dimensions of online networking are measured: social… More > Graphic Abstract

    Effect of Online Social Networking on Emotional Status and Its Interaction with Offline Reality during the Early Stage of the COVID-19 Pandemic in China

  • Open Access

    ARTICLE

    A Method of Multimodal Emotion Recognition in Video Learning Based on Knowledge Enhancement

    Hanmin Ye1,2, Yinghui Zhou1, Xiaomei Tao3,*

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1709-1732, 2023, DOI:10.32604/csse.2023.039186

    Abstract With the popularity of online learning and due to the significant influence of emotion on the learning effect, more and more researches focus on emotion recognition in online learning. Most of the current research uses the comments of the learning platform or the learner’s expression for emotion recognition. The research data on other modalities are scarce. Most of the studies also ignore the impact of instructional videos on learners and the guidance of knowledge on data. Because of the need for other modal research data, we construct a synchronous multimodal data set for analyzing learners’… More >

  • Open Access

    ARTICLE

    A PERT-BiLSTM-Att Model for Online Public Opinion Text Sentiment Analysis

    Mingyong Li, Zheng Jiang*, Zongwei Zhao, Longfei Ma

    Intelligent Automation & Soft Computing, Vol.37, No.2, pp. 2387-2406, 2023, DOI:10.32604/iasc.2023.037900

    Abstract As an essential category of public event management and control, sentiment analysis of online public opinion text plays a vital role in public opinion early warning, network rumor management, and netizens’ personality portraits under massive public opinion data. The traditional sentiment analysis model is not sensitive to the location information of words, it is difficult to solve the problem of polysemy, and the learning representation ability of long and short sentences is very different, which leads to the low accuracy of sentiment classification. This paper proposes a sentiment analysis model PERT-BiLSTM-Att for public opinion text… More >

  • Open Access

    REVIEW

    Towards Innovative Research Approaches to Investigating the Role of Emotional Variables in Promoting Language Teachers’ and Learners’ Mental Health

    Ali Derakhshan1, Yongliang Wang2,*, Yongxiang Wang2,*, José Luis Ortega-Martín3

    International Journal of Mental Health Promotion, Vol.25, No.7, pp. 823-832, 2023, DOI:10.32604/ijmhp.2023.029877

    Abstract The adequacy of language education largely depends on the favorable and unfavorable emotions that teachers and students experience throughout the education process. Simply said, emotional factors play a key role in improving the quality of language teaching and learning. Furthermore, these emotional factors also promote the well-being of language teachers and learners and place them in a suitable mental condition. In view of the favorable impact of emotional factors on the mental health of language teachers and learners, many educational scholars around the world have studied these factors, their background, and their pedagogical consequences. Nonetheless,… More >

  • Open Access

    ARTICLE

    Acknowledge of Emotions for Improving Student-Robot Interaction

    Hasan Han1, Oguzcan Karadeniz1, Tugba Dalyan2,*, Elena Battini Sonmez2, Baykal Sarioglu1

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 1209-1224, 2023, DOI:10.32604/iasc.2023.030674

    Abstract Robot companions will soon be part of our everyday life and students in the engineering faculty must be trained to design, build, and interact with them. The two affordable robots presented in this paper have been designed and constructed by two undergraduate students; one artificial agent is based on the Nvidia Jetson Nano development board and the other one on a remote computer system. Moreover, the robots have been refined with an empathetic system, to make them more user-friendly. Since automatic facial expression recognition skills is a necessary pre-processing step for acknowledging emotions, this paper More >

  • Open Access

    ARTICLE

    An Intervention Study of Language Cognition and Emotional Speech Community Method for Children’s Speech Disorders

    Yali Qiang*

    International Journal of Mental Health Promotion, Vol.25, No.5, pp. 627-637, 2023, DOI:10.32604/ijmhp.2023.025746

    Abstract Speech disorders are a common type of childhood disease. Through experimental intervention, this study aims to improve the vocabulary comprehension levels and language ability of children with speech disorders through the language cognition and emotional speech community method. We also conduct a statistical analysis of the interventional effect. Among children with speech disorders in Dongguan City, 224 were selected and grouped according to their receptive language ability and IQ. The 112 children in the experimental group (EG) received speech therapy with language cognitive and emotional speech community, while the 112 children in the control group… More >

  • Open Access

    ARTICLE

    Construction of Psychological Adjustment Function Model of Music Education Based on Emotional Tendency Analysis

    Bin Zhang*

    International Journal of Mental Health Promotion, Vol.25, No.5, pp. 655-671, 2023, DOI:10.32604/ijmhp.2023.025913

    Abstract In the face of fierce competition in the social environment, mental health problems gradually get the attention of the public, in order to achieve accurate mental health data analysis, the construction of music education is based on emotional tendency analysis of psychological adjustment function model. Design emotional tendency analysis of music education psychological adjustment function architecture, music teaching goal as psychological adjustment function architecture building orientation, music teaching content as a foundation for psychological adjustment function architecture and music teaching process as a psychological adjustment function architecture building, music teaching evaluation as the key of… More >

  • Open Access

    ARTICLE

    TC-Net: A Modest & Lightweight Emotion Recognition System Using Temporal Convolution Network

    Muhammad Ishaq1, Mustaqeem Khan1,2, Soonil Kwon1,*

    Computer Systems Science and Engineering, Vol.46, No.3, pp. 3355-3369, 2023, DOI:10.32604/csse.2023.037373

    Abstract Speech signals play an essential role in communication and provide an efficient way to exchange information between humans and machines. Speech Emotion Recognition (SER) is one of the critical sources for human evaluation, which is applicable in many real-world applications such as healthcare, call centers, robotics, safety, and virtual reality. This work developed a novel TCN-based emotion recognition system using speech signals through a spatial-temporal convolution network to recognize the speaker’s emotional state. The authors designed a Temporal Convolutional Network (TCN) core block to recognize long-term dependencies in speech signals and then feed these temporal More >

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