Bewegungsklassifikation mithilfe mobiler Sensoren
DOI:
https://doi.org/10.2195/lj_Proc_feldhorst_de_201605_01Keywords:
Bewegungsklassifikation, Kommissionieren, Kommissionierung, Kommissionierzeitanteile, Maschinelles Lernen, Mobile SensorenAbstract
This constribution introduces a new methodology to analyze the manual order picking process in warehouses. The approach relies on a sensor-based motion classification which is already used in other domains like sports or medical science. Thereby, different sensor data, e. g. accelerations or rotation rates are continuously recorded during the order picking.With help of this data the motion can be analysed to identify different motion states. Therefore, this paper defines all relevant motion states within the order picking process. These states are part of a classification system which works with methodologies from the field of machine learning. The classification is done with a supervised learning approach which achieves an accuracy of up to 78,94 percent.Downloads
Published
2016-05-27
How to Cite
Feldhorst, S., & ten Hompel, M. (2016). Bewegungsklassifikation mithilfe mobiler Sensoren. Logistics Journal: Proceedings, (11.2). https://doi.org/10.2195/lj_Proc_feldhorst_de_201605_01
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