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
  • [1] A Mechatronic System Mounted on Insole for Analyzing Human Gait
    Giovanelli, Davide
    Giovanelli, Nicola
    Taboga, Paolo
    Barjuei, Erfan Shojaei
    Boscariol, Paolo
    Vidoni, Renato
    Gasparetto, Alessandro
    Lazzer, Stefano
    2014 SECOND RSI/ISM INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM), 2014, : 817 - 822
  • [2] Fall risk assessment of construction workers based on biomechanical gait stability parameters using wearable insole pressure system
    Antwi-Afari, Maxwell Fordjour
    Li, Heng
    ADVANCED ENGINEERING INFORMATICS, 2018, 38 : 683 - 694
  • [3] Clinical assessment of gait and functional mobility in Italian healthy and cognitively impaired older persons using wearable inertial sensors
    Mulas, Ilaria
    Putzu, Valeria
    Asoni, Gesuina
    Viale, Daniela
    Mameli, Irene
    Pau, Massimiliano
    AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2021, 33 (07) : 1853 - 1864
  • [4] Clinical assessment of gait and functional mobility in Italian healthy and cognitively impaired older persons using wearable inertial sensors
    Ilaria Mulas
    Valeria Putzu
    Gesuina Asoni
    Daniela Viale
    Irene Mameli
    Massimiliano Pau
    Aging Clinical and Experimental Research, 2021, 33 : 1853 - 1864
  • [5] Quantifying workers' gait patterns to identify safety hazards in construction using a wearable insole pressure system
    Antwi-Afari, Maxwell Fordjour
    Li, Heng
    Anwer, Shahnawaz
    Yevu, Sitsofe Kwame
    Wu, Zezhou
    Antwi-Afari, Prince
    Kim, Inhan
    SAFETY SCIENCE, 2020, 129 (129)
  • [6] Construction Activity Recognition and Ergonomic Risk Assessment Using a Wearable Insole Pressure System
    Antwi-Afari, Maxwell Fordjour
    Li, Heng
    Umer, Waleed
    Yu, Yantao
    Xing, Xuejiao
    JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2020, 146 (07)
  • [7] A Wearable Insole System to Measure Plantar Pressure and Shear for People with Diabetes
    Tang, Jinghua
    Bader, Dan L.
    Moser, David
    Parker, Daniel J.
    Forghany, Saeed
    Nester, Christopher J.
    Jiang, Liudi
    SENSORS, 2023, 23 (06)
  • [8] Assessment of gait and balance impairment in people with spinocerebellar ataxia using wearable sensors
    He Zhou
    Hung Nguyen
    Ana Enriquez
    Louie Morsy
    Michael Curtis
    Timothy Piser
    Christopher Kenney
    Christopher D. Stephen
    Anoopum S. Gupta
    Jeremy D. Schmahmann
    Ashkan Vaziri
    Neurological Sciences, 2022, 43 : 2589 - 2599
  • [9] Assessment of gait and balance impairment in people with spinocerebellar ataxia using wearable sensors
    Zhou, He
    Hung Nguyen
    Enriquez, Ana
    Morsy, Louie
    Curtis, Michael
    Piser, Timothy
    Kenney, Christopher
    Stephen, Christopher D.
    Gupta, Anoopum S.
    Schmahmann, Jeremy D.
    Vaziri, Ashkan
    NEUROLOGICAL SCIENCES, 2022, 43 (04) : 2589 - 2599
  • [10] Automated Gait Variability Assessment In Real-World Running Using Wearable Accelerometry
    Davis, John J.
    Straczkiewicz, Marcin
    McDonnell, James
    Harezlak, Jaroslaw
    Paquette, Max R.
    Raglin, John S.
    Gruber, Allison H.
    MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2020, 52 (07) : 819 - 819