主动跌倒预防：AAL中的机器人视觉
Active fall prevention: robotic vision in AAL
Warsaw University of Technology（华沙理工大学）
摘要：
有效预防跌倒的方法能显著提高老年人的生活质量。如今，人们主要关注的是公寓的扶手和跌倒检测系统，一旦发生。本文介绍了一种使用配有视觉传感器的服务机器人对家庭空间中的跌倒风险进行主动检测和分类的系统。危险分类允许有效执行分配给机器人的任务，同时保持较高的用户安全水平。
英文摘要：
Effective methods of preventing falls significantly improve the quality of life of the Elderly. Nowadays, people focus mainly on the proper provision of the apartment with handrails and fall detection systems once they have occurred. The article presents a~system of active detection and classification of the risk of falls in the home space using a~service robot equipped with a~vision sensor. Hazard classification allows for effective performance of tasks assigned to the robot while maintaining a~high level of user safety.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
