Anomaly Detection in Motion Timeseries using the Bosch XDK and Dynamic Time Warping
Zusammenfassung
This paper presents the development of an anomaly detector for robotic movements using the dynamic time warping (DTW) algorithm and its implementation in Matlab. Data was collected by mounting the Bosch Cross-Domain Development Kit (XDK) sensor on a collaborative robot arm (Cobot), aiming at industrial applications in need for motion anomaly detection during repetitive tasks. The paper discusses practical issues like parameter tuning as well as algorithmic variants such as decoupling accelerometer and gyroscope data.
- Vollständige Referenz
- BibTeX
Mejía, J. R., Isaías, O. A. & Paschapur, P.,
(2021).
Anomaly Detection in Motion Timeseries using the Bosch XDK and Dynamic Time Warping.
In:
, .
(Hrsg.),
SKILL 2021.
Gesellschaft für Informatik, Bonn.
(S. 113-124).
@inproceedings{mci/Mejía2021,
author = {Mejía, Julián Rico AND Isaías, Oscar Aguilar Aguila AND Paschapur, Priyanka},
title = {Anomaly Detection in Motion Timeseries using the Bosch XDK and Dynamic Time Warping},
booktitle = {SKILL 2021},
year = {2021},
editor = {Gesellschaft für Informatik} ,
pages = { 113-124 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
author = {Mejía, Julián Rico AND Isaías, Oscar Aguilar Aguila AND Paschapur, Priyanka},
title = {Anomaly Detection in Motion Timeseries using the Bosch XDK and Dynamic Time Warping},
booktitle = {SKILL 2021},
year = {2021},
editor = {Gesellschaft für Informatik} ,
pages = { 113-124 },
publisher = {Gesellschaft für Informatik, Bonn},
address = {}
}
Haben Sie fehlerhafte Angaben entdeckt? Sagen Sie uns Bescheid: Feedback abschicken
Mehr Information
ISBN: 978-3-88579-751-7
ISSN: 1614-3213
Datum: 2021
Sprache:
(en)
(en)
