• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on omputational science and technology >Sensor Selection based on Minimum Redundancy Maximum Relevance for Activity Recognition in Smart Homes
【24h】

Sensor Selection based on Minimum Redundancy Maximum Relevance for Activity Recognition in Smart Homes

机译：传感器选择基于智能房屋中活动识别的最小冗余最大相关性

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Activity recognition in smart homes has attracted increasing attention from researchers due to its potential to recognize the occupant's activities of daily living such as showering, putting away laundry, grooming, etc. Recognizing the activities of daily living can help to support and assist the older adults, and enable them to continue living independently within their own homes. In order to support the occupants, activity recognition algorithms need to learn from a series of observations obtained from sensors. The central question that this paper aims to address is which sensors are informative for activity recognition. In this paper, the sensor selection problem is addressed using minimum-Redundancy Maximum-Relevance (mRMR) method.
机译：智能家居的活动识别引起了研究人员的越来越关注，因为它可能会识别占用者的日常生活活动，如淋浴，抛弃洗衣，美容等。承认日常生活活动可以帮助支持和协助老年人，并使他们能够在自己的家中独立生活。为了支持乘员，活动识别算法需要从一系列从传感器获得的观察结果中学习。本文旨在解决的核心问题是哪些传感器是信息识别的信息。在本文中，使用最小冗余最大关联（MRMR）方法来解决传感器选择问题。

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