research-article

Tracking your steps on the track: body sensor recordings of a controlled walking experiment

Authors:

Jefrey Lijffijt,

Panagiotis Papapetrou,

Jaakko HollménAuthors Info & Claims

PETRA '10: Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 58, Pages 1 - 5

https://doi.org/10.1145/1839294.1839363

Published: 23 June 2010 Publication History

Abstract

Monitoring human motion has recently received great attention and can be used in many applications, such as human motion prediction. We present the collected data set from a body sensor network attached to the human body. The set of sensors consists of accelerometers measuring acceleration in three directions that are attached to the upper and lower back as well as the knees and ankles. In addition, pressures on the insoles are measured with four pressure sensors inside each shoe. Two types of motion are considered: walking backwards on a straight line and walking forwards on a figure-8 path. Finally, we study and present basic statistics of the data.

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Cited By

Goricke CReinhardt AKrusemann HSemmler-Ludwig R(2017)Automating Human Motor Performance Ability Testing: The Case of Backward Step Detection2017 IEEE 42nd Conference on Local Computer Networks Workshops (LCN Workshops)10.1109/LCN.Workshops.2017.61(26-34)Online publication date: Oct-2017
https://doi.org/10.1109/LCN.Workshops.2017.61
Hollmén JMakedon F(2012)Mixture modeling of gait patterns from sensor dataProceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2413097.2413157(1-4)Online publication date: 6-Jun-2012
https://dl.acm.org/doi/10.1145/2413097.2413157

Index Terms

Tracking your steps on the track: body sensor recordings of a controlled walking experiment
1. Information systems
  1. Information systems applications

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Published In

cover image ACM Other conferences

PETRA '10: Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments

June 2010

452 pages

ISBN:9781450300711

DOI:10.1145/1839294

Editors:
Fillia Makedon
University of Texas at Arlington
,
Ilias Maglogiannis
University of Central Greece, Greece
,
Sarantos Kapidakis
Ionian University, Greece

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 June 2010

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PETRA '10

PETRA '10: The 3rd International Conference on PErvasive Technologies Related to Assistive Environments

June 23 - 25, 2010

Samos, Greece

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Cited By

Goricke CReinhardt AKrusemann HSemmler-Ludwig R(2017)Automating Human Motor Performance Ability Testing: The Case of Backward Step Detection2017 IEEE 42nd Conference on Local Computer Networks Workshops (LCN Workshops)10.1109/LCN.Workshops.2017.61(26-34)Online publication date: Oct-2017
https://doi.org/10.1109/LCN.Workshops.2017.61
Hollmén JMakedon F(2012)Mixture modeling of gait patterns from sensor dataProceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments10.1145/2413097.2413157(1-4)Online publication date: 6-Jun-2012
https://dl.acm.org/doi/10.1145/2413097.2413157

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