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90 articles for “Emotional Health Apps”
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Leveraging Emotional Intelligence Based Computer Applications to Analyze Psychological Mitigate Suicidal Ideation in Society
Abstract: The increasing incidence of suicidal ideation is a significant societal concern that requires novel, multifaceted approaches for effective mitigation. This research delves into the promising potential of Emotional Intelligence (EI) based computer applications as tools for the detection, analysis, and mitigation of psychological suicidal ideation within our society. The crux of this study lies at the intersection of Emotional Intelligence and Artificial Intelligence (AI), where AI techniques are enriched with …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 7–14 Read article
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A Study to Analyze the Increasing Psychotic Behavior in Youth, Through the Lens of Emotional Intelligence-based Applications
Abstract: The alarming rise of psychotic behavior among the youth population necessitates innovative methodologies for early detection, analysis, and intervention. The present study, titled “A Study to Analyze the Increasing Psychotic Behavior in Youth Through the Lens of Emotional Intelligence-Based Applications”, proposes the integration of Emotional Intelligence (EI) principles with Artificial Intelligence (AI) techniques to devise an effective strategy for managing this escalating issue. EI, a critical determinant of mental health, …
Published in Current Trends in Information Technology · Vol. 13, Issue 3, 2023 · pp. 8–13 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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Improving Postpartum Care Through Nursing Interventions: A Focus on Mental Health, Breastfeeding Support, and Physical Recovery
Abstract: Postpartum care is a vital phase that requires a comprehensive approach to addressing mothers' physical, emotional, and psychological needs. Nursing interventions, which focus on mental health, breastfeeding support, and physical recovery, play a critical role in enhancing postpartum outcomes. Nurses are central to identifying and managing postpartum depression and anxiety through early screening, counselling, and facilitating access to mental health resources. This ensures timely intervention, reducing the long-term impact of …
Published in International Journal of Midwifery Nursing And Practices · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Integrating Counseling into ESRD Care: Addressing Mental Health to Enhance Patient Outcomes
Abstract: End-Stage Renal Disease (ESRD), also referred to as Chronic Kidney Disease Stage 5 (CKD-5), profoundly impacts patients' physical health as well as their emotional and psychological well-being. As individuals approach renal failure, they commonly encounter complex mental health challenges such as depression, anxiety, chronic stress, and a markedly diminished quality of life. This study underscores the critical importance of integrating emotional and mental health support into the care of ESRD …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 3, 2025 Read article
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Emotionally Intelligent AI: The Future of Mental Health Care and Emotional Well-being
Abstract: With the potential to improve emotional well-being through sophisticated AI systems, emotionally intelligent AI (EI-AI) represents a revolutionary frontier in mental health treatment. EI-AI can recognize, understand, and react to human emotions in real- time by utilizing recent advancements in machine learning, natural language processing, and emotion detection. These features are being used more and more in mental health settings, where chatbots and other AI-driven interventions help with emotional regulation, …
Published in Recent Trends in Social Studies · Vol. 2, Issue 1, 2025 · pp. 17–21 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article
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Yoga as Holistic Approach to Stress Management Across the Lifespan: Benefits for Children, Adults, and Seniors
Abstract: Stress affects both mental and physical health and has become a commonplace aspect of life in today's fast-paced culture. This essay examines yoga's function as a comprehensive stress-reduction strategy, emphasizing methods that encourage calmness and strengthen resilience. By examining various research studies conducted on stress management through yoga. This study investigates their effectiveness in reducing stress and fostering emotional balance. Empirical evidence and psychological theories supporting the practice of yoga …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 35–40 Read article
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Review of Machine Technique for Prediction of Depression Using EEG Signal
Abstract: Depression is a prevalent mental health disorder that affects millions worldwide, often leading to significant personal and societal burdens. Traditional diagnostic methods for depression rely heavily on subjective assessments, which can be prone to bias and inconsistency. In recent years, there has been a growing interest in utilizing machine learning techniques to predict depression based onelectroencephalogram (EEG) signals, offering a promising avenue for more objective and reliable diagnosis. This review …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 23–29 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
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Effect of the Integrated Approach to Yoga Therapy on Stress-Related Anxiety Disorder of a Roller Skater
Abstract: Anxiety and stress are common problems for competitive skaters, which frequently impairs their performance and general health. The Integrated Approach to Yoga Therapy (IAYT) offers a holistic intervention, addressing the physical, mental, and emotional dimensions of health. This study investigates the impact of IAYT on stress-related anxiety disorders in skaters, incorporating yoga postures (asanas), breathing techniques (pranayama), meditation, and relaxation practices. An 8-week intervention was conducted with 30 competitive skaters …
Published in Recent Trends in Sports · Vol. 2, Issue 1, 2025 · pp. 7–13 Read article
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Machine Learning Approach to Predict the Mental Health Issues of Employees in Tech Companies
Abstract: Mental disorders are conditions that have an impact on your emotions, thoughts, and behaviour. It may happen infrequently or have a persistent effect. The topic of mental health has been major and challenging, especially for working professionals. Over time, the urbanized living and workload put a strain on people, making them more vulnerable to mental disorders like anxiety and mental disorders. Working professionals therefore seem to be at an elevated …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 1–10 Read article
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Enhancing Human-Computer Communication and Interaction Through Natural Language Processing
Abstract: The advancement of natural language processing (NLP) has significantly enhanced human-computer communication (HCC), transforming how users interact with machines. Traditionally, HCC relied on command-based interfaces and graphical user interfaces (GUIs), but the introduction of conversational artificial intelligence (AI) systems powered by NLP has revolutionized this field. This paper explores the role of NLP in improving communication between humans and computers, emphasizing its impact on language understanding, context processing, and interactive …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 13–26 Read article
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Aura Pulse: An AI-Powered System for Real-Time Emotional Support and Personalized Recommendations
Abstract: Aura Pulse is a cutting-edge AI-powered platform developed to provide real-time emotional support, tackling the growing challenges of stress, anxiety, and burnout in today’s fast-moving digital era. Utilizing advanced facial expression analysis, Aura Pulse interprets visual cues to create a comprehensive emotional profile of the user. This instant emotional evaluation enables the platform to deliver personalized suggestions aligned with the user’s mood and mental state, promoting overall well- being and …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 18–25 Read article
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Application Henderson's Need Theory on a Case of Esophageal Cancer
Abstract: Cancer is a broad term that refers to the uncontrolled growth of abnormal cells, which can invade or spread to other areas of the body. Cancer encompasses over 150 different types, each presenting unique challenges. Patients with cancer often require specialized healthcare to manage their condition and the treatments involved. This case report discusses a 55-year-old female diagnosed with esophageal cancer, who was admitted for chemotherapy. Throughout her treatment, nursing …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 12–17 Read article
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Effect of Mindfulness, Meditation, Yoga on Mental Health
Abstract: In the last few years to improve quality of life importance has been given to the alternative method of therapy. Yoga, Meditation and Mindfulness has a positive impact on mental well-being. These alternate therapies of healing which help in self-healing tendencies. These alternate ways are both safe and effective treatment and it helps to stimulate positive thinking, destress, resilience, improved interpersonal relationships and increased productivity. Yoga, Meditation and Mindfulness has …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 73–78 Read article
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Needles of Wellness: Exploring the Transformative Benefits of Acupuncture
Abstract: Acupuncture, rooted in traditional Chinese medicine, has expanded beyond treating physical pain to playing a significant role in mental wellness. The term “Needles of Wellness” captures its dual benefits in pain relief and emotional health. While effective for conditions, like osteoarthritis and migraines, recent studies show its growing use in managing anxiety, depression, insomnia, and PTSD. Stimulating specific body points modulates the autonomic nervous system, reducing cortisol and enhancing endorphin …
Published in Research and Reviews: A Journal of Medicine · Vol. 15, Issue 2, 2025 · pp. 1–9 Read article
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Advanced Miasmatic Approach in Ante Natal Care - Multi Faceted Homoepathy
Abstract: Homeopathy and pregnancy care? Looks challenging? The structural deformities investigation in modern medicine is an unforeseen combination of a physical, mental breakdown of pregnant lady, resulting an immediate call for effective therapy of the lady and family. The female-being the pivot, her health in pregnancy marks great responsibility for an Altruistic homeopath. The advanced miasmatic lens in antenatal care magnifies the role of multifaceted homeopathy. Such type of synergistic efforts …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 29–37 Read article
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AI and Machine Learning Approaches for Estimating Depression Severity: Techniques, Trends, and Applications
Abstract: Depression is a very common mental health disorder that results in a disorder of a person’s behavior, emotions, and cognitive abilities. Depression can be caused by environmental factors or hereditary factors. The person suffering from depression might have symptoms of suicidal thoughts, altering food patterns as well as sleeping issues. Depression is a global issue that has impacted millions of people globally having more effect on women worldwide. The complexity …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 29–38 Read article
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Reward-Aligned Reinforcement Learning from Human Feedback for Emotion-Sensitive Large Language Model Therapists: Balancing Empathetic Engagement, Boundary Safety, and Clinical Accountability
Abstract: The deployment of large language models (LLMs) in mental health therapy contexts introduces a critical alignment challenge: these systems must simultaneously cultivate genuine empathic rapport, observe clinically grounded safety boundaries, and remain auditable under institutional accountability frameworks. Existing reinforcement learning from human feedback (RLHF) pipelines optimize for a scalar reward signal that is demonstrably insufficient for the multi-objective, temporally extended nature of therapeutic conversation. This paper presents RA-RLHF-T (Reward-Aligned RLHF …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 Read article