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277 articles for “Emotion”
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Music on Mind and Body: A Simultaneous EEG and EMG Study to Quantify Emotions from Hindustani Classical Music
Abstract: With the advent of various techniques to assess the bioelectric signals on the surface of the body, it has become possible to develop various human-computer interface systems. In this study, for the first-time a cross- correlation based data is reported for two-different types of bio-signals viz. EEG (Electroencephalography) and EMG (Electromyography). Whereas EEG refers to the neuro-electric impulses generated in the brain recorded in the form of electric potentials, EMG …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 2, 2019 · pp. 27–38 Read article
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Cognitive Emotional Regulation Strategies and Locus of Control among Substance Users
Abstract: Substance use is among the major health concern that creates significant disability in a person's mood and behavior, which leads to poor health and loss of productivity. Increasing substance use is associated with various short and long-term effects which affect how they deal with stress, regulate their emotions, decision making, and overall quality of life. The current research aims to Examine relationship between cognitive emotional regulation strategies and locus of …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 01–09 Read article
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Study of Parenting Style and Its Effect on Emotional Regulation and Impulsiveness in Adolescents
Abstract: Parenting styles vary throughout parents, and these styles can have a big impact on the growth and welfare of their kids. The study's goals include the following: (i) To determine how parenting practices affect teenagers' ability to control their emotions and impulsivity. (ii) To find out the impact of parenting style on emotional regulation and impulsiveness in adolescents. (iii) To determine the differences in impulsivity and emotional regulation between teenage …
Published in International Journal of Children · Vol. 1, Issue 2, 2024 · pp. 1–14 Read article
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Comparative Analysis of MCNN and RCNN for Speech Emotion Recognition Using Gender Information
Abstract: Speech emotion recognition is a speech processing task and a computer-based approach designed to identify and classify the emotions conveyed in audio signals. The aim of this system is to evaluate a speaker's emotional state, such as happiness, anger, sadness, or frustration, by analyzing their speech patterns, which include prosodic features like pitch, frequency, and rhythm. Speech emotion recognition is used in various real-life scenarios that include Customer Service, Healthcare, …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 1–10 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Effect of Emotional Intelligence Program to Improve Academic Performance Among Nursing Students of Selected Colleges
Abstract: Introduction: Emotional intelligence involves understanding one’s own feelings as well as those of others and reacting appropriately in different situations. It represents a form of social intelligence characterized by the ability to observe and distinguish between emotions, both personal and others', and to leverage this insight to inform decision-making and behavior. Materials and Method: An experimental study design is used in the research. The study was conducted at selected nursing …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 2, Issue 1, 2024 · pp. 20–25 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Student Academic Achievement Forecast Based on Emotional Intelligence, Personality, Demographic Characteristics and Attitude Towards Education and Future Career
Abstract: This study was aimed at predicting students' academic achievement based on emotional intelligence of personality traits, attitudes to education and future career. The present study was a correlational-analytical study. The statistical population of Zanjan University students in the academic year of 1395-1395 was the sample of 489 people selected by cluster random sampling method. Academic Resilience Scale (ARI) and Schotte Emotional Intelligence Questionnaire and Researcher Attitude Questionnaire were used to …
Published in International Journal of Education Sciences · Vol. 1, Issue 2, 2024 · pp. 25–36 Read article
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Development of Polymer-Based Sensors for Speech Emotion Recognition
Abstract: Traditional SER research often utilizes microphones with polymer components like Diaphragms and Membranes. Within some microphone designs, polymer membranes which plays a crucial role in converting sound pressure into electrical signals. The paper highlights the application (speech emotion recognition) and have tried to find polymer-based sensors. This work further delves deeper, investigating the performance of the CatBoost algorithm for emotion recognition in voice assistants designed for Indian languages. The research …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 268–274 Read article
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Exploring the Impact of Artistic Expression on Children's Emotional Well-being: A Review
Abstract: Aim: The purpose of the review was to focus on how art therapy could improve children's mental health, particularly for those who are dealing with psychological or emotional difficulties. Children can communicate feelings and experiences that they might find difficult to express verbally via art therapy, a type of therapy that makes use of artistic expression. The review explores developmental ideas, including Malaguzzi's Reggio Emilia method, which encourages self-expression via …
Published in International Journal of Children · Vol. 2, Issue 1, 2025 · pp. 27–31 Read article
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Emotional Intelligence among Various Levels of Nursing Students
Abstract: Introduction: Emotional Intelligence skills help nurses to stay focussed on their job underimmense pressure of work in the challenging hospital environment. It reduces work-relatedstress, improve job-performance and enhance effective leadership. Objective: To compare theemotional intelligence of three levels of under-graduate nursing students. Methodology: Thiscross-sectional study was carried out at National Institute of Nursing Education (NINE),PGIMER, Chandigarh. A total of 216 students including 79 B.Sc. Nursing 1st year, 65 B.Sc.Nursing 2nd …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 2, 2020 · pp. 33–43 Read article
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Entropy Analysis Based Differential Evolution Approach for Emotion Classification for EEG
Abstract: Electroencephalography (EEG) signal processing is having its significance in various applications related to the emotion recognition and classification. The behavior monitoring, behavior class identification, emotion class identification are the major aspects for classification of EEG signal. In this paper, a feature adaptive differential evolution (DE) approach is defined to perform emotion classification. In this work, we used discrete wavelet transform (DWT), for extracting the statistical features from the EEG signal …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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Association of Social Media and Emotional Imbalance: A Literature Review
Abstract: In the era of internet, people are becoming more technology savvy. From a 10-year-old child to 60-year-old person, people are using internet in some or the other way. Statistics shows that people are using internet majorly for social media such as Facebook, Instagram, Twitter, Linked in etc. In this study, we try and understand the major reasons for joining the social media platforms, the repercussion of excessive usage and the …
Published in Research and Reviews : Journal of Computational Biology · Vol. 9, Issue 2-3, 2020 · pp. 1–6 Read article
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FACE EMOTION RECOGNITION TO DETECT DEPRESSION
Abstract: In the current competitive world, one of the most familiar and grave mental illness we encounter in humans is Depression also called as major depression or major depressive disorder. It makes you feel depressed and disinterested all the time, which has a bad impact on your thoughts and behaviour. Thus affecting not only the victim but also people associated with them, such as family, friends and society. If not treated …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 1–14 Read article
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Investigating the Effect of Rational Emotional Behavioral Therapy Training on Sensitivity in Women’s & Mutual Relationships
Abstract: The topic of Haaz's research is to investigate the effect of rational-emotional behavioral therapy training on sensitivity in women's mutual relationships. The purpose of this research is to prepare and compile a program in which the concepts of the rational-emotional behavioral therapy approach are used in order to investigate sensitivity in women's mutual relationships after the implementation of its training to women. The statistical population includes 120 women with risky …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 2, 2024 · pp. 18–25 Read article
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Comparison and Analysis of Facial Emotion Detection Using Various Deep Learning Neural Networks
Abstract: Facial emotion recognition employs Convolutional Neural Networks (CNNs), Residual Networks (ResNet), Long Short-Term Memory (LSTM) networks, and Deep Neural Networks (DNNs) to automatically identify various emotions, including disgust, anger, fear, happiness, sadness, surprise, and neutrality. This study utilizes transfer learning along with data preprocessing techniques such as rotation, flipping, brightness adjustment, and enhancement methods. Traditional machine learning models achieve an accuracy range of 45 to 50%. In contrast, our proposed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 37–42 Read article
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Emotional Intelligence and its Impact on Service Quality–An Empirical Study on Garment Retail Stores of Jammu City
Abstract: Today, employers cannot afford to loose quality employees because of the competition. If they do, then leftemployee working with different company can turn-out as a threat for your company in future. Fundamental canbe applicable for any sector or for any industry, but negative impact will be more on retail sector–being the lastbut closest element of distribution channel to the customers. The purpose of this research paper is to find outrelationship …
Published in Journal of Construction Engineering, Technology & Management · Vol. 1, Issue 1-3, 2011 · pp. 1–14 Read article
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Mind-Gut Connection: The Psychosomatic Effects of Stress and Emotions on Digestive System
Abstract: Stress, understood as an immediate disruption to bodily equilibrium, triggers an adaptive or allostatic response that impacts gastrointestinal function both in the short and long term. The enteric nervous system communicates in both directions with the brain through parasympathetic and sympathetic pathways, collectively forming what is known as the brain-gut axis. Unani scholars describe stress as a response to the loss of something valuable, such as an opportunity, a desired …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 1, 2025 · pp. 11–14 Read article
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Infant Cry Analysis for Emotion Detection by using Cross-Correlation Algorithm
Abstract: Crying is the part of normal behavior of human. It is the first way of communication for the infant after his birth and it is a very positive sign of a new healthy life. There are several reasons for which infant cry including hunger, discomfort, and need for attention. Analysis of infant cry is very useful because infant cry contains useful information, which helps in detecting the nature of infant …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 3, Issue 2, 2014 · pp. 27–33 Read article
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Qualitative assessment of the psychological and emotional responses of COVID-19 patients and the stigma they feel and face from the society prior and post math of their recovery: A preliminary study.
Abstract: Abstract:From the very beginning of the SARS-COV-2 pandemic, there has been an enormous and everlasting uncertainty among the people about how things will get back on track. This uncertainty along with the other contagious pandemic protocols like social distancing, quarantine, lockdown, job loss, financial crisis, stress, career anxieties, eviction from rooms and apartments and social stigma to the patients have contributed enormously the psychological pressures. This study aimed at estimating …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 12, Issue 3, 2022 · pp. 14–24 Read article