System for detecting stress including feelings of guilt based on study of facial expression, has image acquisition tools that imports image for image processing, and then analyzes and manipulates image, and computer programs that are developed by machine learning that accesses data and used to learn
	THIRUPURASUNDARI D R
	2023-10-16
专利权人	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
申请日期	2023-10-16
专利号	IN202341069638-A
成果简介	NOVELTY - The system consists of machine learning algorithms i.e. K-nearest neighbors (KNN) classifiers that are applied to classify the stress. The image processing is used at an initial stage for detection, and an image of an employee is clicked by a camera which serves as input. An enhanced image is input or some useful information is extracted from the image processed by converting an image into digital form. The input is taken as an image from video frames and an output is an image or characteristics associated with the image. Image processing is carried out by importing the image by the image acquisition tools, and analyzing and manipulating the image. Output result is an altered image or report that is based on image analysis. The computer programs are developed by machine learning that accesses the data and used to learn. USE - System for detecting stress including feelings of guilt, shame, anxiety, aggression or frustration based on study of facial expression of information technology (IT) and IT enabled services (ITES) employees. Uses include but are not limited to acid peptic disease, alcoholism, asthma, diabetes, fatigue, tension headache, hypertension, insomnia, irritable bowel syndrome, psychoneurosis, sexual dysfunction and skin diseases such as psoriasis, lichen planus, urticaria, pruritus and neurodermatitis. ADVANTAGE - The system has an ability to automatically learn and improve from self-experiences without being explicitly programmed using machine learning which is an application of artificial intelligence (AI). The system excludes the live detection and the personal counseling and includes live detection and periodic analysis of employees and detecting physical and mental stress levels by providing the employees with proper remedies for managing stress by providing survey form periodically. The system focuses on managing stress and making the working environment healthy and spontaneous for the employees and to get the best out of them during working hours. The system reduces the stress and creates a much comfortable workplace for the employees.
IPC 分类号	A61B-005/16 ; A61M-021/02 ; G06N-020/00 ; G06Q-010/06 ; G16H-020/70
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/19541
专题	中国科学院新疆生态与地理研究所
作者单位	BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard)
推荐引用方式 GB/T 7714	THIRUPURASUNDARI D R. System for detecting stress including feelings of guilt based on study of facial expression, has image acquisition tools that imports image for image processing, and then analyzes and manipulates image, and computer programs that are developed by machine learning that accesses data and used to learn. IN202341069638-A[P]. 2023.

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