Using a Wearable Insole Gait Analyzing System for Automated Mobility Assessment for Older People

被引:0
|
作者
Oberzaucher, Johannes [1 ]
Jagos, Harald [1 ]
Zoedl, Christian [1 ]
Hlauschek, Walter [1 ]
Zagler, Wolfgang [1 ]
机构
[1] CEIT RALTEC, A-2320 Schwechat, Austria
关键词
wearable; fall risk assessment; gait analysis; accelerometer; ambient assisted living;
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
Falls among the older population are one of the most common causes for injuries, frailty and for morbidity. Fall incidents have various reasons and are often related to decreased mobility and hence an increasing fall risk could be detected in time. The objective of this paper is to show results and future prospects of the funded project "vitaliSHOE" and in detail of an automated multi-sensor-based method to determine fall risk indicators in older people's gait and body movements.
引用
收藏
页码:600 / 603
页数:4
相关论文
共 50 条
  • [31] Assessment and Calibration of Wearable Heart Rate Sensors Using a Fully Automated System
    Allegretti, Emanuela
    Sibilano, Elena
    Di Nisio, Attilio
    Lanzolla, Anna Maria Lucia
    Spadavecchia, Maurizio
    2020 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA), 2020,
  • [32] Gait Assessment Using Wearable Sensor-Based Devices in People Living with Dementia: A Systematic Review
    Weizman, Yehuda
    Tirosh, Oren
    Beh, Jeanie
    Fuss, Franz Konstantin
    Pedell, Sonja
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2021, 18 (23)
  • [33] AN AUTOMATED MEASUREMENT OF THE "TIMED UP& GO" AS AN ASSESSMENT OF MOBILITY AND GAIT
    Kiselev, J.
    Goevercin, M.
    Steinhagen-Thiessen, E.
    Wegel, S.
    GERONTOLOGIST, 2012, 52 : 83 - 83
  • [34] Mobility assessment in older people: new possibilities and challenges
    Zijlstra, Wiebren
    Aminian, Kamiar
    EUROPEAN JOURNAL OF AGEING, 2007, 4 (01) : 3 - 12
  • [35] Mobility assessment in older people: new possibilities and challenges
    Wiebren Zijlstra
    Kamiar Aminian
    European Journal of Ageing, 2007, 4 : 3 - 12
  • [36] An Easy Wearable Gait Assessment System for Assessing Stroke Patients
    Tseng, Mu-Hsun
    Chen, Tain-Song
    Chang, Ya-Ting
    2020 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2020), 2021, : 209 - 211
  • [37] Wearable System for Gait Assessment during Physical Rehabilitation Process
    Postolache, Octavian
    Girao, Pedro Silva
    Pereira, Jose M. D.
    Postolache, Gabriela
    2015 9TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE), 2015, : 321 - 326
  • [38] Automated gait analysis using wearable sensors can detect objective and reliable quantification of disability in people with Multiple Sclerosis
    Angelini, Lorenza
    Hodgkinson, William
    Smith, Craig
    Dodd, Jessie Moorman
    Ray, Jaydip
    Storm, F.
    Mazza, Claudia
    Sharrack, Basil
    Paling, David
    NEUROLOGY, 2019, 92 (15)
  • [39] The Smart-Insole Dataset: Gait Analysis Using Wearable Sensors with a Focus on Elderly and Parkinson's Patients
    Chatzaki, Chariklia
    Skaramagkas, Vasileios
    Tachos, Nikolaos
    Christodoulakis, Georgios
    Maniadi, Evangelia
    Kefalopoulou, Zinovia
    Fotiadis, Dimitrios I.
    Tsiknakis, Manolis
    SENSORS, 2021, 21 (08)
  • [40] Development of a wearable surveillance system using gait analysis
    Yoshida, Toshihiko
    Mizuno, Fumio
    Hayasaka, Tomoaki
    Tsubota, Kenichi
    Imai, Yousuke
    Ishikawa, Takuji
    Yamaguchi, Takami
    TELEMEDICINE JOURNAL AND E-HEALTH, 2007, 13 (06): : 703 - 713