Capturing Human-Machine Interaction Events from Radio Sensors in Industry 4.0 Environments
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A4 Artikkeli konferenssijulkaisussa
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Date
2019-01-01
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Language
en
Pages
6
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Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers, pp. 430-435, Lecture Notes in Business Information Processing ; Volume 362 LNBIP
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 electromagnetic wavefield can be processed for environmental perception by leveraging next generation (5G) New Radio (NR) technologies, including MIMO systems, high performance edge-cloud computing and novel (or custom designed) deep learning tools.Description
Keywords
5G, Collaborative Robotics, Industry 4.0, Radio sensing
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Citation
Sigg, S, Palipana, S, Savazzi, S & Kianoush, S 2019, Capturing Human-Machine Interaction Events from Radio Sensors in Industry 4.0 Environments . in C Di Francescomarino, R Dijkman & U Zdun (eds), Business Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers . Lecture Notes in Business Information Processing, vol. 362 LNBIP, Springer, pp. 430-435, International Conference on Business Process Management, Vienna, Austria, 01/09/2019 . https://doi.org/10.1007/978-3-030-37453-2_35