Los puntos clave no están disponibles para este artículo en este momento.
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.
Xu et al. (Wed,) studied this question.