Towards unsupervised physical activity recognition using smartphone accelerometers

• Published in: Multimedia tools and applications Vol. 76; no. 8; pp. 10701 - 10719
• Main Authors: Lu, Yonggang, Wei, Ye, Liu, Li, Zhong, Jun, Sun, Letian, Liu, Ye
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.04.2017; Springer Nature B.V
• Subjects: Accelerometers; Activity recognition; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Datasets; Exercise; Feature extraction; Multimedia Information Systems; Smartphones; Special Purpose and Application-Based Systems; Accelerometer; Physical activity recognition; Smartphone; Unsupervised method

The development of smartphones equipped with accelerometers gives a promising way for researchers to accurately recognize an individual’s physical activity in order to better understand the relationship between physical activity and health. However, a huge challenge for such sensor-based activity re...