Hybrid Method for Human Emotion Recognition

Registration ID: IJNRD_219576

Published ID: IJNRD2405050

DOI: Click Here to Get

Dr.A. Jainul Fathima , G.Keerthana , K.A. Farithul Dhilsath

facial emotion , emotion recognition, compound emotions, machine learning, random forest algorithm

Now a days, Human health care and well-being is the most important considerations. Because humans mostly youngsters are morely affected by the stress and depression due to work load. Over the past few decades, machine learning-based automatic facial emotion detection has developed into simulating and active field of the study. Real time Facial Emotion Recognition System has been proposed to automatically detect the human’s emotion using machine learning. Emotion recognition from human expressions is crucial for numerous field , including healthcare, psychology and human-computer interaction. But issues like inconsistent expression, cultural quirks, and privacy concerns still exist. The study highlights the potential influence on enhancing mental health diagnosis and treatment by examining a variety of uses of face expression recognition, from virtual reality to healthcare and education. It emphasizes the Researches, psychologists, and technologists must work together transdisciplinary to address current issues and fully utilize the social advantages of emotion identification technology. The paper also addresses the significance of large-scale datasets and established evaluation mmeasures in promoting breakthroughs in recognition algorithms and facilitating comparative studies. Concerns about consent, bias, and possible abuse are among the ethical difficulties underlying emotion identification that are frequently discussed, highlighting the significance of responsible development and implementation. The study concludes by highlighting the shortcomings of current emotion recognition techniques and promoting the creation of automated systems. The challenges persist such as variability in expressions, cultural differences and privacy concerns. This paper explores diverse applications like education, healthcare and virtual reality. The necessity for interdisciplinary collaboration to address remaining challenges and fully realize the social benefits. The paper also discuss the importance of datasets and standardized evaluation metrics to facilitate comparative studies and advancements in recognition algorithms. It explores the ethical implications of emotion recognition technology including issues related consent, bias and the potential for misuse. It highlights the limitations of traditional methods of emotion recognition and emphasis the need for automated systems that can accurately detect and interpret human emotions from facial expressions, body languages.

Published Paper   E-Certificate

Dr.A. Jainul Fathima, G.Keerthana , & K.A. Farithul Dhilsath (May-2024). Hybrid Method for Human Emotion Recognition. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), a481-a490. https://ijnrd.org/papers/IJNRD2405050.pdf

Volume 9 Issue 5, May-2024

Pages : a481-a490

Paper Reg. ID: IJNRD_219576

Published Paper Id: IJNRD2405050

Downloads: 000121981

Research Area: Information Technology 

Country: Tirunelveli, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2405050.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405050

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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