Capturing human-machine interaction events from radio sensors in Industry 4.0 environments

Capturing human-machine interaction events from radio sensors in Industry 4.0 environments. Sigg, S., Palipana, S., Savazzi, S., & Kianoush, S. In International Conference on Business Process Management (adjunct), 2019.
abstract bibtex

In manufacturing environments, human workers interact with increasingly autonomous machinery. To ensure workspace safety and production efficiency during human-robot cooperation, continuous and accurate tracking and perception of workers activities is required. The RadioSense project intends to move forward the state-of-the-art in advanced sensing and perception for next generation manufacturing workspace. In this paper, we describe our ongoing efforts towards multi-subject recognition cases with multiple persons conducting several simultaneous activities. Perturbations induced by moving bodies/objects on the electro-magnetic wavefield can be processed for environmental perception. In particular, we will adopt next generation (5G) high-frequency technologies as well as distributed massive MIMO systems.

@InProceedings{Sigg_2019_miel,
author={Stephan Sigg and Sameera Palipana and Stefano Savazzi and Sanaz Kianoush},
booktitle={International Conference on Business Process Management (adjunct)},
title={Capturing human-machine interaction events from radio sensors in Industry 4.0 environments},
year={2019}, 
abstract={In manufacturing environments, human workers interact with increasingly autonomous machinery. 
To ensure workspace safety and production efficiency during human-robot cooperation, continuous and accurate tracking and perception of workers activities is required. 
The RadioSense project intends to move forward the state-of-the-art in advanced sensing and perception for next generation manufacturing workspace. 
In this paper, we describe our ongoing efforts towards multi-subject recognition cases with multiple persons conducting several simultaneous activities. 
Perturbations induced by moving bodies/objects on the electro-magnetic wavefield can be processed for environmental perception. 
In particular, we will adopt next generation (5G) high-frequency technologies as well as distributed massive MIMO systems.
},
  project = {radiosense},
group = {ambience}}

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