| dc.contributor.author | Mejía, Julián Rico | |
| dc.contributor.author | Isaías, Oscar Aguilar Aguila | |
| dc.contributor.author | Paschapur, Priyanka | |
| dc.contributor.editor | Gesellschaft für Informatik | |
| dc.date.accessioned | 2021-12-15T10:17:11Z | |
| dc.date.available | 2021-12-15T10:17:11Z | |
| dc.date.issued | 2021 | |
| dc.identifier.isbn | 978-3-88579-751-7 | |
| dc.identifier.issn | 1614-3213 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/37786 | |
| dc.description.abstract | 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. | en |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | SKILL 2021 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Seminars, Volume S-17 | |
| dc.subject | Machine Learning | |
| dc.subject | Dynamic Time Warping | |
| dc.subject | Anomaly Detection | |
| dc.subject | Bosch XDK | |
| dc.subject | Collaborative Robot | |
| dc.title | Anomaly Detection in Motion Timeseries using the Bosch XDK and Dynamic Time Warping | en |
| mci.reference.pages | 113-124 | |
| mci.conference.sessiontitle | SKILL 2021 | |
| mci.conference.location | Berlin | |
| mci.conference.date | 28. September und 01. Oktober 2021 | |
