دسته بندی:
اینترنت اشیاء - Internet of Things
سال انتشار:
2022
عنوان انگلیسی مقاله:
In-home Health Monitoring using Floor-based Gait Tracking
ترجمه فارسی عنوان مقاله:
نظارت بر سلامت در خانه با استفاده از ردیابی راه رفتن مبتنی بر کف
منبع:
ScienceDirect- Elsevier- Internet of Things, 19 (2022) 100541: doi:10:1016/j:iot:2022:100541
نویسنده:
Katie S. Hahm
چکیده انگلیسی:
Gait assessments are commonly used for clinical evaluations of neurocognitive disease progression and general wellness. However, gait measurements in clinical settings do not accurately
reflect gait in daily life. We present a non-wearable and unobtrusive method of detecting
gait parameters in the home through the vibrations in the floor created by footfalls. Gait
characteristics and gait asymmetry are estimated despite a low sensor density of 6.7 m2/sensor.
Features from each footfall vibration signal is extracted and used to estimate gait parameters
with gradient boosting regression and probabilistic models. Temporal gait asymmetry, locations
of the footfalls, and peak tibial acceleration asymmetry can be predicted with a root mean
square error of 0.013 s, 0.42 m, and 0.34 g respectively. This system allows for continuous
at-home monitoring of gait which aids in early detection of gait anomalies.
keywords: Gait monitoring | Smart home | Signal processing | Localization | Ground reaction force
قیمت: رایگان
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