坐
上传
计算机科学
电话
工作(物理)
压力传感器
智能手机
光学(聚焦)
人机交互
人工智能
工程类
医学
万维网
电信
机械工程
光学
物理
哲学
病理
语言学
作者
Yimei Xu,Pengju He,Hongfei Hu
出处
期刊:2021 4th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)
日期:2024-08-07
卷期号:: 16-16
被引量:1
摘要
With the advancement of technology and social development, significant changes have occurred in people's production and lifestyle, with prolonged sedentary work and study becoming the norm for contemporary individuals. However, incorrect or irregular sitting postures for extended periods have increasingly severe health implications, affecting people's learning and work efficiency, and even leading to spinal diseases, causing inconvenience in daily life. The identification and monitoring of human postures have always been a research focus. The core of this system lies in the pressure array sensors embedded in the seat, which can real-time collect the force data on the chair surface and perform in-depth analysis through the algorithm embedded in the hardware system, accurately identifying the user's sitting posture. Once the system detects an improper sitting posture, it will immediately display relevant information and issue reminders to guide the user to adjust to a correct sitting posture. The system also features data uploading and cloud storage capabilities. By uploading the sitting posture recognition results to the cloud platform, users can conveniently check their prolonged sitting time and the cumulative time of various sitting postures through a mobile phone app. This function not only facilitates users to understand their sitting habits, but also plays a corrective and reminding role, helping users establish healthy sitting habits.
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