Autonomic Fall Detection System

被引：10
|
作者：
Ozdemir, Ahmet Turan [1 ]
Tunc, Cihan [2 ]
Hariri, Salim [2 ]
机构：
[1] Erciyes Univ, Dept Elect & Elect Engn, Kayseri, Turkey
[2] Univ Arizona, NSF Cloud & Auton Comp Ctr NSF CAC, Tucson, AZ USA
来源：
2017 IEEE 2ND INTERNATIONAL WORKSHOPS ON FOUNDATIONS AND APPLICATIONS OF SELF* SYSTEMS (FAS*W) | 2017年
基金：
美国国家科学基金会;
关键词：
Cloud computing; fog computing; internet of things; wearable devices; fall detection; data analytics; WEARABLE SENSORS;
D O I：
10.1109/FAS-W.2017.142
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Internet of Things (IoT) and cloud computing have produced major breakthroughs in information services and applications. Internet provided the required connections to countless devices or things that have led to a significant improvement in the quality of life. In addition, using wearable devices and smart sensors has facilitated the deployment of pervasive healthcare services that provided better healthcare, and reduced life threatening risks without affecting one's privacy. In this paper, we present an architectural approach for autonomic healthcare management system and show how to use this system for autonomic fall detection, where we leverage wearable technologies, IoT, and cloud computing.
引用
收藏
页码：166 / 170
页数：5
相关论文
共 50 条
  • [1] Evaluation of the autonomic nervous system for fall detection
    Nocua, Ronald
    Noury, Norbert
    Gehin, Claudine
    Dittmar, Andre
    McAdams, Eric
    [J]. 2009 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-20, 2009, : 3225 - 3228
  • [2] Autonomic Intrusion Detection System
    Wang, Wei
    Guyet, Thomas
    Knapskog, Svein J.
    [J]. RECENT ADVANCES IN INTRUSION DETECTION, PROCEEDINGS, 2009, 5758 : 359 - +
  • [3] Fall Detection System for the Elderly
    Santiago, Joseph
    Cotto, Eric
    Jaimes, Luis G.
    Vergara-Laurens, Idalides
    [J]. 2017 IEEE 7TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE IEEE CCWC-2017, 2017,
  • [4] Implementation of a fall detection system
    Dong, C. C.
    Ren, M. Y.
    [J]. INFORMATION SCIENCE AND ELECTRONIC ENGINEERING, 2017, : 453 - 455
  • [5] Personalized Fall Detection System
    Ngu, Anne H.
    Metsis, Vangelis
    Coyne, Shaun
    Chung, Brian
    Pai, Rachel
    Chang, Joshua
    [J]. 2020 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS), 2020,
  • [6] Wearable Fall Detection System
    Rihana, S.
    Mondalak, J.
    [J]. 2016 3RD MIDDLE EAST CONFERENCE ON BIOMEDICAL ENGINEERING (MECBME), 2016, : 84 - 87
  • [7] A Fall Detection and Near-Fall Data Collection System
    Dinh, A.
    Teng, D.
    Chen, L.
    Shi, Y.
    McCrosky, C.
    Basran, J.
    Del Bello-Hass, V.
    Ko, S. B.
    Ralhan, A.
    Williams, D.
    Windels, N.
    Choudhury, A.
    [J]. 2008 1ST MICROSYSTEMS AND NANOELECTRONICS RESEARCH CONFERENCE, 2008, : 117 - 120
  • [8] A smart inertial system for fall detection
    Ando, Bruno
    Baglio, Salvatore
    Crispino, Ruben
    Marletta, Vincenzo
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021, 12 (04) : 4503 - 4511
  • [9] Fall detection system with portable camera
    Boudouane, Isma
    Makhlouf, Amina
    Harkat, Mohamed Aures
    Hammouche, Mohamed Zakaria
    Saadia, Nadia
    Ramdane Cherif, Amar
    [J]. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2020, 11 (07) : 2647 - 2659
  • [10] Smartphone based fall detection system
    Madansingh, Stefan
    Thrasher, Timothy A.
    Layne, Charles S.
    Lee, Beom-Chan
    [J]. 2015 15TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2015, : 370 - 374
12345