| 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. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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