在线客服: 点击这里给我发消息  新用户使用步骤:会员注册→充值→重新登入→进入资源
标题:Home Camera-Based Fall Detection System for the Elderly.
时间:2020-01-15 10:39:03
DOI:10.3390/s17122864
PMID:29232846
作者:de Miguel Koldo; Brunete Alberto; Hernando Miguel
关键词:fall detection;camera-based;elderly;home automation
出版源: 《Sensors》 ,17 (12) :2864-
摘要:Falls are the leading cause of injury and death in elderly individuals. Unfortunately, fall detectors are typically based on wearable devices, and the elderly often forget to wear them. In addition, fall detectors based on artificial vision are not yet available on the market. In this paper, we present a new low-cost fall detector for smart homes based on artificial vision algorithms. Our detector combines several algorithms (background subtraction, Kalman filtering and optical flow) as input to a machine learning algorithm with high detection accuracy. Tests conducted on over 50 different fall videos have shown a detection ratio of greater than 96%.
大小:6036 kb
页数:22 PAGES
下载: 点击下载
预览:

浏览器不支持嵌入PDF阅读,打开新页面在线阅读

目录:
  • Introduction
  • State of the Art
    • Wearable Sensors
    • Ambient Devices
    • Vision-Based Devices
      • Cameras
      • Processing Units
      • Relevant Information Segmentation
      • Subject Tracking
      • Data Modelling
      • State Classification
  • Description of the Hardware
  • Fall Detection Algorithm
    • Data Model
    • Background Subtractor
    • Kalman Filter
    • Optical Flow
    • State Classification
    • Occlusions
    • Alert System
  • System Installation
  • Results and Discussion
    • Dataset
    • Parameters Used for Performance Measurement
    • Results Obtained
    • Performance of the System
  • Conclusions
  • References

本页内容由网络收集而来,版权归原创者所有,如有侵权请及时联系