In a line production system of a factory, a worker repetitively performs predefined operation
processes. This paper tries to recognize work by factory workers in an unsupervised …

This paper presents a robust unsupervised method for recognizing factory work using
sensor data from body-worn acceleration sensors. In line-production systems, each factory …

As computers are becoming more and more a part of our everyday life, the vision of Mark
Weiser about ubiquitous computing becomes true. One of the core tasks of such devices is …

This paper presents an unsupervised method for recognizing assembly work done by factory
workers by using wearable sensor data. Such assembly work is a common part of line …

The succeeding digitization in industry emerges highly flexible value creation networks
involving humans and machines. Digital systems become more advanced and allow a …

This paper presents different prediction methods based on decision tree and ensemble
learning to suggest possible next assembly steps. The predictor is designed to be a …

The paper presents some preliminary results in engineering a context-aware assistive
system for manual assembly tasks. It employs context-based predictors to suggest the next …

In assembly, reworking stations are often barely automated work places, where no technical
equipment supports the worker, validates the process execution or documents process …

In comparison to other work domains and to the current state of research, we face on the
manufacturing shop floor little attention for the role of informal learning as key driver for …

Situation-aware information assistance strongly depends on the quality of available
contextual background knowledge for an application domain and on its automatic …