Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)

Pedestrian Action Recognition Using Motion Sensor and k-NN Classifier

Authors
Ningping Sun, Toru Tsuruoka
Corresponding Author
Ningping Sun
Available Online March 2018.
DOI
https://doi.org/10.2991/icaita-18.2018.1How to use a DOI?
Keywords
motion sensor; action recognition; machine learning; feature definition; k nearest neighborhood classifier
Abstract

We focused on the recognition of pedestrian action using motion sensor and machine learning. In this paper, we present our method how to define feature of actions from acquired data, and how to use k nearest neighborhood classifier to data learning and evaluation.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
978-94-6252-496-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-18.2018.1How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ningping Sun
AU  - Toru Tsuruoka
PY  - 2018/03
DA  - 2018/03
TI  - Pedestrian Action Recognition Using Motion Sensor and k-NN Classifier
BT  - Proceedings of the 2018 2nd International Conference on Artificial Intelligence: Technologies and Applications (ICAITA 2018)
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-18.2018.1
DO  - https://doi.org/10.2991/icaita-18.2018.1
ID  - Sun2018/03
ER  -