Analysis of Personal Life Patterns Using Accelerometer-Based Wearable Devices

Analysis of Personal Life Patterns Using Accelerometer-Based Wearable Devices

<p>Many commercially available wearable devices are equipped with sensors to measure motion and physiological signals from the wearer. G-sensors are commonly used in such wearable devices for counting steps, estimating energy expenditure and detecting sleep duration. In this study, two feature...

Full description

Bibliographic Details
Main Authors: Yeh-Liang Hsu, Yi-Fan Jiang, Ching-Hung Lin, Tsai-Ya Lai, Cheng-Li Chang
Format: Article
Language:English
Published: Chinese Institute of Automation Engineers (CIAE) & Taiwan Smart Living Space Association (SMART LISA) 2015-12-01
Series:International Journal of Automation and Smart Technology
Subjects:
acceleration sensors
wearable device
machine learning
lifestyle patterns
Online Access:http://www.ausmt.org/index.php/AUSMT/article/view/960

Similar Items

Similar Items