Falling Monitoring System Based On Multi Axial Accelerometer

被引:0
|
作者
Liu, Wentao [1 ]
Luo, Yang [1 ]
Yan, Junze [2 ]
Tao, Chunjing [3 ]
Ma, Lifang [3 ]
机构
[1] Harbin Inst Technol, Dept Mech Design, Harbin, Heilongjiang, Peoples R China
[2] Harbin Elect Machinery Co Ltd, Harbin, Heilongjiang, Peoples R China
[3] Natl Res Ctr Rehabil Tech Aids, R&D Dept, Beijing, Peoples R China
关键词
Falling detection; three-axis Digital Accelerometer; SVM; Multi-condition comprehensive evaluation algorithm;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A portable & wearable falling monitoring system is proposed in this paper, which is based on microcontroller and triaxial accelerometer, and used for real-time monitoring of human body motion state. Its purpose is to make real-time judgments during the falling, and enable airbags or other protective devices before the body impacts with the ground, preventing or reducing the damage of falling to the human body. This paper proposes a multi-condition comprehensive evaluation algorithm based on the value of acceleration SVM, by analyzing acceleration curve of the processes of the body falling and various daily activities. In the algorithm, the weightlessness condition, the time condition, the speed condition, and the angle condition etc are considered in human body motion state analysis, then the judgment is made whether a falling is happening by these conditions. Experiments show that the method can effectively identify the course of the falling with a low miss report rate and false report rate, meanwhile it can provides the appropriate time margin, and should be a feasible and practical way.
引用
收藏
页码:7 / 12
页数:6
相关论文
共 50 条
  • [21] Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes
    Biagetti, Giorgio
    Crippa, Paolo
    Falaschetti, Laura
    Orcioni, Simone
    Turchetti, Claudio
    BIOMEDICAL ENGINEERING ONLINE, 2018, 17
  • [22] Accelerometer Based Static Gesture Recognition and Mobile Monitoring System Using Neural Networks
    Chakravarthi, M. Kalyan
    Tiwari, Rohit Kumar
    Handa, Shaunak
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON ECO-FRIENDLY COMPUTING AND COMMUNICATION SYSTEMS, 2015, 70 : 683 - 687
  • [23] IoT-based measurement system for classifying cow behavior from tri-axial accelerometer
    Wang, Jun
    He, Zhitao
    Ji, Jiangtao
    Zhao, Kaixuan
    Zhang, Haiyang
    CIENCIA RURAL, 2019, 49 (06):
  • [24] Human activity monitoring system based on wearable sEMG and accelerometer wireless sensor nodes
    Giorgio Biagetti
    Paolo Crippa
    Laura Falaschetti
    Simone Orcioni
    Claudio Turchetti
    BioMedical Engineering OnLine, 17
  • [25] Indoor activity monitoring system using an accelerometer and zigbee
    Han, Jonghee
    Kim, Hongwon
    Cho, Sukjin
    Park, Kwang Suk
    2007 6TH INTERNATIONAL SPECIAL TOPIC CONFERENCE ON INFORMATION TECHNOLOGY APPLICATIONS IN BIOMEDICINE, 2007, : 111 - +
  • [26] Optical Fiber Accelerometer System for Structural Dynamic Monitoring
    da Costa Antunes, Paulo Fernando
    Lima, Hugo F. T.
    Alberto, Nelia Jordao
    Rodrigues, Hugo
    Pinto, Pedro M. F.
    Pinto, Joao de Lemos
    Nogueira, Rogerio N.
    Varum, Humberto
    Costa, Anibal G.
    Andre, Paulo Sergio
    IEEE SENSORS JOURNAL, 2009, 9 (11) : 1347 - 1354
  • [27] Neuromuscular transmission module versus tri-axial accelerometer for neuromuscular block monitoring
    Lefrancois, V
    Daccache, G.
    Pegoix, M.
    Fellahi, J. L.
    Hanouz, J. L.
    EUROPEAN JOURNAL OF ANAESTHESIOLOGY, 2014, 31 : 37 - 37
  • [28] Dynamic monitoring of a mobile telecommunications tower with a bi-axial optical FBG accelerometer
    Antunes, Paulo
    Travanca, Rui
    Varum, Humberto
    Andre, Paulo
    INTERNATIONAL CONFERENCE ON APPLICATIONS OF OPTICS AND PHOTONICS, 2011, 8001
  • [29] Wavelet based multi-step filtering method for bridge health monitoring using GPS and accelerometer
    Yi, Ting-Hua
    Li, Hong-Nan
    Gu, Ming
    SMART STRUCTURES AND SYSTEMS, 2013, 11 (04) : 331 - 348
  • [30] Accelerometer based North finding system
    Sun, Guofu
    Gu, Qitai
    Record - IEEE PLANS, Position Location and Navigation Symposium, 2000, : 399 - 403