ParaLabel: Autonomous Parameter Learning for Cross-Domain Step Counting in Wearable Sensors

Wearable step counters, also referred to as activity trackers, have been developed for health and activity monitoring, as well as for step tracking. These trackers, however, produce unreliable measurements during slow walking and when walking with assistive devices (i.e., aided walking). To address...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE sensors journal Vol. 20; no. 23; pp. 13867 - 13879
Main Authors:	Alinia, Parastoo, Fallahzadeh, Ramin, Connolly, Christopher P., Ghasemzadeh, Hassan
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Accelerometers Accuracy Algorithms cross-subject transfer learning Domains Feature extraction frequency components K-nearest neighbor Learning Legged locomotion low-pass filter Low-pass filters Machine learning algorithms Nearest neighbor methods Parameters peak detection Sensors Step counting time-domain features Tracking devices Treadmills wearable sensors Wearable technology Wrist
ISSN:	1530-437X, 1558-1748
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!