Artificial intelligence-powered mental health assessment system for use in telehealth application, integrates text sentiment analysis, speech emotion recognition, facial expression analysis, and physiological monitoring to provide accurate, real-time mental health evaluations
	PAHWA S; DWIVEDI S P; PRADEEP J; BAGGA M; DATTA R; RAGUPATHI T
	2025-03-28
专利权人	PAHWA S (PAHW-Individual) ; DWIVEDI S P (DWIV-Individual) ; PRADEEP J (PRAD-Individual) ; BAGGA M (BAGG-Individual) ; DATTA R (DATT-Individual) ; RAGUPATHI T (RAGU-Individual)
申请日期	2025-03-28
专利号	IN202541029741-A
成果简介	NOVELTY - The system integrates text sentiment analysis, speech emotion recognition, facial expression analysis, and physiological monitoring to provide accurate, real-time mental health evaluations. The system uses machine learning algorithms and natural language processing (NLP) to analyze text-based inputs, detecting linguistic patterns indicative of depression, anxiety, or emotional distress. A multimodal AI framework combines speech tone, vocal pitch, and speech fluency analysis to assess an individual's psychological state with enhanced accuracy compared to traditional methods. A facial expression recognition module utilizes computer vision techniques to identify micro expressions, eye movement patterns, and facial tension as non-verbal indicators of mental health conditions. USE - AI-powered mental health assessment system for assessing mental health disorders in telehealth, workplace wellness programs, clinical settings. Uses include but are not limited to depression, anxiety, bipolar disorder, and post-traumatic stress disorder (PTSD). ADVANTAGE - The system provides scalable, real-time mental health assessments for use in telehealth, workplace wellness programs, and clinical settings, thus making mental healthcare more accessible, personalized, and effective. The system utilizes ethical AI principles, bias reduction mechanisms, and human-in-the-loop validation to enhance reliability and trust.
IPC 分类号	A61B-005/00 ; G06N-020/00 ; G10L-025/63 ; G16H-020/70 ; G16H-050/30
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13418
专题	中国科学院新疆生态与地理研究所
作者单位	1.PAHWA S (PAHW-Individual) 2.DWIVEDI S P (DWIV-Individual) 3.PRADEEP J (PRAD-Individual) 4.BAGGA M (BAGG-Individual) 5.DATTA R (DATT-Individual) 6.RAGUPATHI T (RAGU-Individual)
推荐引用方式 GB/T 7714	PAHWA S,DWIVEDI S P,PRADEEP J,et al. Artificial intelligence-powered mental health assessment system for use in telehealth application, integrates text sentiment analysis, speech emotion recognition, facial expression analysis, and physiological monitoring to provide accurate, real-time mental health evaluations. IN202541029741-A[P]. 2025.

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