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  4. Feet Fidgeting Detection Based on Accelerometers Using Decision Tree Learning and Gradient Boosting
 
research article

Feet Fidgeting Detection Based on Accelerometers Using Decision Tree Learning and Gradient Boosting

Esseiva, J.
•
Caon, M.
•
Mugellini, E.
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2018
Lecture Notes in Computer Science

Detection of fidgeting activities is a field which has not been much explored as of now. Studies have shown that fidgeting has a beneficial impact on people’s healthiness as it burns a significant amount of energy. Being able to detect when someone is fidgeting would allow to study more closely the health impact of fidgeting. The purpose of this work is to propose an algorithm being able to detect feet fidgeting period of subjects while sitting using 3-D accelerometers on both shoes. Initial results on data from 5 subjects collected during this work shows an accuracy of 95% for a classification between sitting with fidgeting and sitting without fidgeting

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Type
research article
DOI
10.1007/978-3-319-78759-6_8
Author(s)
Esseiva, J.
Caon, M.
Mugellini, E.
Khaled, O.A.
Aminian, Kamiar  
Date Issued

2018

Published in
Lecture Notes in Computer Science
Volume

10814

Start page

75

End page

84

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
LMAM  
Available on Infoscience
September 2, 2018
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/148103
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