Emotion Recognition Systems In Healthcare
Bhawna
, Daogafu Gwra Narzary
Emotion Recognition, Healthcare, Facial Expression Analysis
Emotion Recognition Systems (ERS) have emerged as transformative tools in healthcare, leveraging artificial intelligence and machine learning to identify and analyse patients’ emotions. This technology, employing facial expression analysis, speech analysis, physiological markers, and natural language processing, enhances mental health evaluation, patient monitoring, and telemedicine. By interpreting emotions, healthcare practitioners can tailor therapies, improve diagnostic precision, and foster a more empathetic patient experience. While ERS holds promise, challenges such as privacy concerns, biases in algorithms, and ethical considerations must be addressed. Despite obstacles, ongoing research and collaboration between healthcare professionals, technologists, and legislators are essential for the responsible integration of emotion detection technologies, ultimately revolutionizing patient care and mental health assessment.
"Emotion Recognition Systems In Healthcare", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.9, Issue 2, page no.143 - 151, February-2024, Available :https://ijsdr.org/papers/IJSDR2402022.pdf
Volume 9
Issue 2,
February-2024
Pages : 143 - 151
Paper Reg. ID: IJSDR_210043
Published Paper Id: IJSDR2402022
Downloads: 000347244
Research Area: Health Science
Country: Yamunanagar, Haryana, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
