
Human Activity Recognition in Daily Life and Sports Using Inertial Sensors
Dominik Schuldhaus(Author)
FAU University Press
Published on 11. November 2019
Book
XVII, 266 pages
978-3-96147-225-3 (ISBN)
Description
Human Activity Recognition (HAR) deals with the automatic recognition of physical activities and plays a major role in the health and sports sector. Knowledge about the performed activities can be used to monitor compliance regarding physical activity recommendations, investigate the causes of physical activity behavior, implement sport-specific training programs, and replicate the physical demands during sport competition. Currently available tools for HAR often rely on questionnaires which involve problems in the reliability when recalling activities.
In this thesis, algorithms for HAR are introduced and evaluated which apply machine learning techniques to inertial sensor data. Daily as well as sport-specific activities are considered including sitting, washing dishes, climbing stairs, and kicking in soccer. Besides the development and implementation of algorithms, mandatory extensions regarding the design of HAR systems are further identified and future research directions are provided.
In this thesis, algorithms for HAR are introduced and evaluated which apply machine learning techniques to inertial sensor data. Daily as well as sport-specific activities are considered including sitting, washing dishes, climbing stairs, and kicking in soccer. Besides the development and implementation of algorithms, mandatory extensions regarding the design of HAR systems are further identified and future research directions are provided.
More details
Series
Thesis
Doctoral thesis
2019
FAU Friedrich-Alexander-Universität Erlangen-Nürnberg
Language
English
Place of publication
Erlangen
Germany
Dimensions
Height: 21 cm
Width: 14.8 cm
Weight
537 gr
ISBN-13
978-3-96147-225-3 (9783961472253)
DOI
10.25593/978-3-96147-226-0
Schweitzer Classification