Towards in-Home Quantitative Gait Assessment Using Millimeter-wave Radar
步态
雷达
计算机科学
极高频率
人工智能
物理医学与康复
电信
医学
作者
Xuezhi Zeng
标识
DOI:10.1109/imbioc56839.2023.10305133
摘要
Recent findings suggest that gait assessment is a useful tool for the early detection and prediction of neurode-generative diseases (such as Alzheimer's and Parkinson's) and fall risk in the elderly. This work proposed a method based on millimeter-wave radar for in-home quantitative gait assessment. The results obtained from experimental studies demonstrated the high capability of the millimeter wave radar for capturing instantaneous gait change in real-life environments. Particularly, the developed method gives high accuracy in the measurement of step time, which is a key gait parameter for predicting fall risk and neurodegenerative diseases in the elderly.