• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>9th ACM/IEEE international conference on information processing in sensor networks 2010 >Demo Abstract: Multi-modal Fall Detection within the WeCare Framework
【24h】

Demo Abstract: Multi-modal Fall Detection within the WeCare Framework

机译：演示摘要：WeCare框架内的多模式跌倒检测

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Falls are identified as a major health risk for the elderly and a major obstacle to independent living. Considering the remarkable increase in the elderly population of developed countries, methods for fall detection have been a recent active area of research. However, existing methods often use only wearable sensors, such as acceloremeters, or cameras to detect falls. In this demonstration, in contrast to the state of the art solutions, we focus on the use of multi-modal wireless sensor networks within the WeCare framework. WeCare system is developed as a solution for independent living applications by remotely monitoring the health and well-being of its users. We describe the general structure of WeCare and demonstrate its fall detection method. Our set-up not only includes scalar sensors to detect falls and motion but also consists of embedded cameras and RFID tags and uses sensor fusion techniques to improve the success of fall detection and minimize the false positives.
机译：跌倒被确定为老年人的主要健康风险，也是独立生活的主要障碍。考虑到发达国家的老年人口显着增加，用于跌倒检测的方法已经成为最近研究的活跃领域。但是，现有方法通常仅使用可穿戴传感器（例如加速度计）或照相机来检测跌倒。在本演示中，与最先进的解决方案相比，我们重点关注在WeCare框架内使用多模式无线传感器网络。 WeCare系统是通过远程监控用户的健康状况来开发为独立生活应用程序的解决方案。我们描述了WeCare的总体结构并演示了跌倒检测方法。我们的设置不仅包括用于检测跌倒和运动的标量传感器，还包括嵌入式相机和RFID标签，并使用传感器融合技术来提高跌倒检测的成功率并将误报率降至最低。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号