Double-stage methodology for activity recognition in manual assembly
Joachim Peter Doppler, Lisa C. Günther, Christoph Haar · Procedia CIRP · 2021
The analysis and evaluation of manual assembly processes is related to high efforts and expenditures. Traditionally, assessments use visual and empirical methods with a low level of digitalization. These are often not cost-covering for small production quantities. This paper presents an approach to recognize assembly steps from individually detected sensory events. The approach can be integrated in a system for automatic analysis of manual assembly processes and is applicable when little training data is available. It is based on a hidden Markov model and combined with a decision logic. The methodology is tested on an exemplary use case.