Towards an autonomous fall detection and alerting system on a mobile and pervasive environment

被引:0
|
作者
Ivo C. Lopes
Binod Vaidya
Joel J. P. C. Rodrigues
机构
[1] Instituto de Telecomunicações,Department of Informatics
[2] University of Beira Interior,undefined
来源
Telecommunication Systems | 2013年 / 52卷
关键词
Mobile devices; Sensors; Accelerometer; Fall detection;
D O I
暂无
中图分类号
学科分类号
摘要
In recent years, the use of sensors on mobile devices is highly desirable. In particular, an accelerometer can be used for numerous applications such as tracking object or monitoring of the elderly. This paper presents an application tool based on an accelerometer, call SensorFall to detect and report the acceleration caused by a fall, which allows sending alerts in the form of SMS, phone call, or by location using the GPS. We have implemented and verified the SensorFall in various environments, such as a hospital or a normal daily life for the elderly, also implemented the system calibration in order to adapt better the living conditions of each person. The results show that it performs well.
引用
收藏
页码:2299 / 2310
页数:11
相关论文
共 50 条
  • [1] Towards an autonomous fall detection and alerting system on a mobile and pervasive environment
    Lopes, Ivo C.
    Vaidya, Binod
    Rodrigues, Joel J. P. C.
    TELECOMMUNICATION SYSTEMS, 2013, 52 (04) : 2299 - 2310
  • [2] An Autonomous Fall Detection and Alerting System Based on Mobile and Ubiquitous Computing
    He, Jian
    Hu, Chen
    Li, Yang
    2013 IEEE 10TH INTERNATIONAL CONFERENCE ON AND 10TH INTERNATIONAL CONFERENCE ON AUTONOMIC AND TRUSTED COMPUTING (UIC/ATC) UBIQUITOUS INTELLIGENCE AND COMPUTING, 2013, : 539 - 543
  • [3] Mobile phone-based pervasive fall detection
    Dai, Jiangpeng
    Bai, Xiaole
    Yang, Zhimin
    Shen, Zhaohui
    Xuan, Dong
    PERSONAL AND UBIQUITOUS COMPUTING, 2010, 14 (07) : 633 - 643
  • [4] Mobile phone-based pervasive fall detection
    Jiangpeng Dai
    Xiaole Bai
    Zhimin Yang
    Zhaohui Shen
    Dong Xuan
    Personal and Ubiquitous Computing, 2010, 14 : 633 - 643
  • [5] Autonomous Learning System Towards Mobile Intelligence
    Xu M.-W.
    Liu Y.-Q.
    Huang K.
    Liu X.-Z.
    Huang G.
    Liu, Xuan-Zhe (xzl@pku.edu.cn), 1600, Chinese Academy of Sciences (31): : 3004 - 3018
  • [6] A Practical System towards the Secure, Robust and Pervasive Mobile Workstyle
    Ma, Zhan
    Yue, Tao
    Cao, Xun
    Xu, Yiling
    Li, Xin
    Wang, Yongjin
    2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2017,
  • [7] Action Selection Algorithms for Autonomous System in Pervasive Environment: A Computational Approach
    Gaber, Jaafar
    ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS, 2011, 6 (01)
  • [8] Towards an intrusion detection system for pervasive computing environments
    Kannadiga, P
    Zulkernine, M
    Ahamed, SI
    ITCC 2005: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: CODING AND COMPUTING, VOL 2, 2005, : 277 - 282
  • [9] A pervasive neural network based fall detection system on smart phone
    Kerdegari, Hamideh
    Mokaram, Saeid
    Samsudin, Khairulmizam
    Ramli, Abdul Rahman
    JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2015, 7 (02) : 221 - 230
  • [10] Towards a pervasive mobile multimedia experience
    Chen, Xu
    O'Grady, M. J.
    O'Hare, G. M. P.
    6TH INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT APPLICATIONS, PROCEEDINGS, 2007, : 209 - +