A review of sensor selection, sensor devices and sensor deployment for wearable sensor-based human activity recognition systems

This source preferred by Hongnian Yu

Authors: Wang, Y. and Yu, H.

Editors: Cang, S.

Pages: 250-257

Publisher: SKIMA

ISBN: 978-1-5090-3298-3

Data preprocessing, feature selection and classification algorithms usually occupy the bulk of surveys on human activity recognition (HAR). This paper instead gives a brief review on the data acquisition which is a critical stage of the wearable data-driven-based HAR. The review focuses on the determination of sensor types, modality of sensor devices, sensor deployment and data collection. The work aims to provide a comprehensive and detailed guidance for the fundamental part in HAR, also to highlight the challenges related to the topics reviewed.

This data was imported from Scopus:

Authors: Yu, H., Cang, S. and Wang, Y.

Pages: 250-257

ISBN: 9781509032976

DOI: 10.1109/SKIMA.2016.7916228

© 2016 IEEE. Data preprocessing, feature selection and classification algorithms usually occupy the bulk of surveys on human activity recognition (HAR). This paper instead gives a brief review on the data acquisition which is a critical stage of the wearable data-driven-based HAR. The review focuses on the determination of sensor types, modality of sensor devices, sensor deployment and data collection. The work aims to provide a comprehensive and detailed guidance for the fundamental part in HAR, also to highlight the challenges related to the topics reviewed.

This data was imported from Web of Science (Lite):

Authors: Wang, Y., Cang, S. and Yu, H.

Pages: 250-257

The data on this page was last updated at 04:54 on March 23, 2019.