Wearable-sensor activity analysis using semi-Markov models with a grammar

Date

2010

Authors

Thomas, Owen
Sunehag, Peter
Dror, Gideon
Yun, Sungrack
Kim, S
Robards, Matthew
Smola, Alexander
Green, Daniel
Saunders, Philo U

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Abstract

Detailed monitoring of training sessions of elite athletes is an important component of their training. In this paper we describe an application that performs a precise segmentation and labeling of swimming sessions. This allows a comprehensive breakdown

Description

Keywords

Keywords: Activity analysis; Activity recognition; Discriminative hidden Markov models; Elite athlete; Human performance; Machine-learning; Margin setting; Semi Markov model; Sequential data; Training sessions; Wearable sensors; Accelerometers; Computational comple Accelerometer; Activity recognition; Human performance; Machine learning; Semi-Markov models

Citation

Source

Pervasive and Mobile Computing

Type

Journal article

Book Title

Entity type

Access Statement

License Rights

DOI

10.1016/j.pmcj.2010.01.002

Restricted until

2037-12-31