System for detecting posture of individuals for corporate wellness initiatives, based on artificial intelligence-powered software program application, has machine learning model trained on labeled posture datasets, and feedback mechanism for detecting improper posture
2025-03-31
专利权人KIET GROUP INST (KIET-Non-standard)
申请日期2025-03-31
专利号IN202511031520-A
成果简介NOVELTY - The system has a machine learning model trained on labeled posture datasets, where the machine learning model is a convolutional neural network (CNN). A real-time video processing module analyzes an user posture. A feedback mechanism provides alerts through visual indicators, audio prompts, or haptic feedback. A web-based interface enables users to access posture analysis. A posture history module stores previous postures and generates improvement recommendations based on data analytics. The feedback mechanism detects improper posture and provides alerts to the users. The history module tracks and suggests improvements to the user well-beings. USE - System for detecting posture of individuals for corporate wellness initiatives, fitness experts, healthcare institutions, and educational settings based on artificial intelligence (AI)-powered software program application using machine learning and computer vision ADVANTAGE - The system employs computer vision and machine learning to analyze user posture in real-time and provide corrective feedback, thus promoting ergonomic health and well-being. The system reduces the risks associated with poor posture, such as back pain and spinal issues. The users are provided with posture history and personalized recommendations for improvement. The web-based interface allows users to interact with the system conveniently.
IPC 分类号A61B-005/00 ; A61B-005/11 ; G06N-003/045 ; G09B-005/06 ; G10L-015/08
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/13270
专题中国科学院新疆生态与地理研究所
作者单位
KIET GROUP INST (KIET-Non-standard)
推荐引用方式
GB/T 7714
YADAV M,TIWARI T,KUMAR V,et al. System for detecting posture of individuals for corporate wellness initiatives, based on artificial intelligence-powered software program application, has machine learning model trained on labeled posture datasets, and feedback mechanism for detecting improper posture. IN202511031520-A[P]. 2025.
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