TY - JOUR
T1 - Gait monitoring for older adults during guided walking
T2 - An integrated assistive robot and wearable sensor approach
AU - Zhao, Qingya
AU - Chen, Zhuo
AU - Landis, Corey D.
AU - Lytle, Ashley
AU - Rao, Ashwini K.
AU - Zanotto, Damiano
AU - Guo, Yi
N1 - Publisher Copyright:
© 2022 The Author(s). Published by Cambridge University Press.
PY - 2022/10/25
Y1 - 2022/10/25
N2 - An active lifestyle can mitigate physical decline and cognitive impairment in older adults. Regular walking exercises for older individuals result in enhanced balance and reduced risk of falling. In this article, we present a study on gait monitoring for older adults during walking using an integrated system encompassing an assistive robot and wearable sensors. The system fuses data from the robot onboard Red Green Blue plus Depth (RGB-D) sensor with inertial and pressure sensors embedded in shoe insoles, and estimates spatiotemporal gait parameters and dynamic margin of stability in real-time. Data collected with 24 participants at a community center reveal associations between gait parameters, physical performance (evaluated with the Short Physical Performance Battery), and cognitive ability (measured with the Montreal Cognitive Assessment). The results validate the feasibility of using such a portable system in out-of-the-lab conditions and will be helpful for designing future technology-enhanced exercise interventions to improve balance, mobility, and strength and potentially reduce falls in older adults.
AB - An active lifestyle can mitigate physical decline and cognitive impairment in older adults. Regular walking exercises for older individuals result in enhanced balance and reduced risk of falling. In this article, we present a study on gait monitoring for older adults during walking using an integrated system encompassing an assistive robot and wearable sensors. The system fuses data from the robot onboard Red Green Blue plus Depth (RGB-D) sensor with inertial and pressure sensors embedded in shoe insoles, and estimates spatiotemporal gait parameters and dynamic margin of stability in real-time. Data collected with 24 participants at a community center reveal associations between gait parameters, physical performance (evaluated with the Short Physical Performance Battery), and cognitive ability (measured with the Montreal Cognitive Assessment). The results validate the feasibility of using such a portable system in out-of-the-lab conditions and will be helpful for designing future technology-enhanced exercise interventions to improve balance, mobility, and strength and potentially reduce falls in older adults.
KW - assistive robot
KW - cognitive assessment
KW - dynamic margin of stability
KW - gait analysis
KW - instrumented footwear
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U2 - 10.1017/wtc.2022.23
DO - 10.1017/wtc.2022.23
M3 - Article
AN - SCOPUS:85145834781
VL - 3
JO - Wearable Technologies
JF - Wearable Technologies
M1 - e28
ER -