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., Cang, S. and Yu, H.

Editors: Cang, S. and Wang, Y.

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 source preferred by Shuang Cang

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 04:42 on November 20, 2017.