Capturing Human-Machine Interaction Events from Radio Sensors in Industry 4.0 Environments

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussavertaisarvioitu

Tutkijat

Organisaatiot

  • Aalto University
  • CNR-Consiglio Nazionale Delle Ricerche

Kuvaus

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.

Yksityiskohdat

AlkuperäiskieliEnglanti
OtsikkoBusiness Process Management Workshops - BPM 2019 International Workshops, Revised Selected Papers
ToimittajatChiara Di Francescomarino, Remco Dijkman, Uwe Zdun
TilaJulkaistu - 1 tammikuuta 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Conference on Business Process Management - Vienna, Itävalta
Kesto: 1 syyskuuta 20196 syyskuuta 2019
Konferenssinumero: 17

Julkaisusarja

NimiLecture Notes in Business Information Processing
Vuosikerta362 LNBIP
ISSN (painettu)1865-1348
ISSN (elektroninen)1865-1356

Conference

ConferenceInternational Conference on Business Process Management
LyhennettäBPM
MaaItävalta
KaupunkiVienna
Ajanjakso01/09/201906/09/2019

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