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Using Gesture-Based Interfaces to Control Robots Read chapter Read first chapter

2015 | OriginalPaper | Chapter

aHead: Considering the Head Position in a Multi-sensory Setup of Wearables to Recognize Everyday Activities with Intelligent Sensor Fusions

Authors : Marian Haescher, John Trimpop, Denys J. C. Matthies, Gerald Bieber, Bodo Urban, Thomas Kirste

Published in: Human-Computer Interaction: Interaction Technologies

Publisher: Springer International Publishing

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Abstract

In this paper we examine the feasibility of Human Activity Recognition (HAR) based on head mounted sensors, both as stand-alone sensors and as part of a wearable multi-sensory network. To prove the feasibility of such setting, an interactive online HAR-system has been implemented to enable for multi-sensory activity recognition while making use of a hierarchical sensor fusion. Our system incorporates 3 sensor positions distributed over the body, which are head (smart glasses), wrist (smartwatch), and hip (smartphone). We are able to reliably distinguish 7 daily activities, which are: resting, being active, walking, running, jumping, cycling and office work. The results of our field study with 14 participants clearly indicate that the head position is applicable for HAR. Moreover, we demonstrate an intelligent multi-sensory fusion concept that increases the recognition performance up to 86.13 % (recall). Furthermore, we found the head to possess very distinctive movement patterns regarding activities of daily living.

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Footnotes
1
The classification accuracy and recall rate are equivalent, when considering multi class classification problems. As we talk about recall, this can be seen analogous to accuracy or overall classification rate. For further information to the measures, please refer to [6] or [11].
 
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Metadata
Title
aHead: Considering the Head Position in a Multi-sensory Setup of Wearables to Recognize Everyday Activities with Intelligent Sensor Fusions
Authors
Marian Haescher
John Trimpop
Denys J. C. Matthies
Gerald Bieber
Bodo Urban
Thomas Kirste
Copyright Year
2015
Book
Human-Computer Interaction: Interaction Technologies

Print ISBN: 978-3-319-20915-9

Electronic ISBN: 978-3-319-20916-6

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-20916-6_68