期刊
SENSORS
卷 21, 期 3, 页码 -出版社
MDPI
DOI: 10.3390/s21030692
关键词
feature selection; human activity recognition; activity of daily living; sensor fusion; wearable sensors; genetic algorithm; coordinate calibration
资金
- Anhui Provincial Key Research and Development Plan [202004a07020037]
- National Key R&D Program of China [2018YFC2001304]
Human activity recognition is crucial in health-related fields, and fusion from heterogeneous wearable sensors has been developed for portable and accurate recognition. Feature selection plays a key role in reducing system burden and achieving good classification performance. The proposed genetic algorithm-based feature selection algorithm showed good performance in activity recognition with experiments demonstrating the benefits of sensor calibration and joint angle estimation.
Human activity recognition (HAR) is essential in many health-related fields. A variety of technologies based on different sensors have been developed for HAR. Among them, fusion from heterogeneous wearable sensors has been developed as it is portable, non-interventional and accurate for HAR. To be applied in real-time use with limited resources, the activity recognition system must be compact and reliable. This requirement can be achieved by feature selection (FS). By eliminating irrelevant and redundant features, the system burden is reduced with good classification performance (CP). This manuscript proposes a two-stage genetic algorithm-based feature selection algorithm with a fixed activation number (GFSFAN), which is implemented on the datasets with a variety of time, frequency and time-frequency domain features extracted from the collected raw time series of nine activities of daily living (ADL). Six classifiers are used to evaluate the effects of selected feature subsets from different FS algorithms on HAR performance. The results indicate that GFSFAN can achieve good CP with a small size. A sensor-to-segment coordinate calibration algorithm and lower-limb joint angle estimation algorithm are introduced. Experiments on the effect of the calibration and the introduction of joint angle on HAR shows that both of them can improve the CP.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据