Research output per year
Research output per year
Project Details
Description
Future ICT based manufacturing systems aim at a radical individualization of products (Lot-size 1) under the condition of highly flexible mass production environments. A key challenge towards such systems is the confluent collaborative cooperation between man and machines. This project aims at attention-aware self-adaptive machines pacing the interaction with human workers based on observed user attention and task performance, and up-to-the minute adaption of the level of assistive support provided to human workers during the manufacturing process. A reference implementation of attentive machines based on (i) formal models of human attention, (iii) multisensory recognition architectures and (iii) embedded subtle assistive support mechanisms will be empirically evaluated with two cases of Austrian manufacturing excellence.
| Status | Finished |
|---|---|
| Effective start/end date | 01.08.2015 → 31.07.2018 |
Collaborative partners
- Johannes Kepler University Linz (lead)
- Research Studios Austria Forschungsgesellschaft mbH (Project partner)
- FISCHER SPORTS GMBH (Project partner)
- Aumayr GmbH (Project partner)
Fields of science
- 102019 Machine learning
- 102 Computer Sciences
- 102021 Pervasive computing
- 102013 Human-computer interaction
- 102009 Computer simulation
- 102020 Medical informatics
- 211902 Assistive technologies
- 102022 Software development
- 202017 Embedded systems
- 211912 Product design
- 102025 Distributed systems
JKU Focus areas
- Digital Transformation
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Skill Sensing in Industrial Production
Haslgrübler-Huemer, M., Sept 2022, 203 p.Research output: Thesis › Doctoral thesis
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A multi-sensor algorithm for activity and workflow recognition in an industrial setting
Thomay, C., Gollan, B., Haslgrübler-Huemer, M., Ferscha, A. & Heftberger, J., 05 Jun 2019, Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, PETRA 2019. Fillia Makedon (ed.). New York: ACM, p. 69-76 8 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
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Towards industrial assistance systems: Experiences of applying multi-sensor fusion in harsh environments
Haslgrübler, M., Gollan, B. & Ferscha, A., 2019, Physiological Computing Systems - International Conferences, PhyCS 2016, PhyCS 2017, PhyCS 2018, Revised and Extended Selected Papers. Holzinger, A., Pope, A. & Plácido da Silva, H. (eds.). Springer Verlag, p. 158-179 22 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10057 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
Activities
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Attentive Machines
Ferscha, A. (Speaker), Hochreiter, D. (Speaker) & Fritz, P. (Speaker)
08 Nov 2019Activity: Talk or presentation › Other talk or presentation › science-to-public
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Pervasive Computing and the Industrial IoT
Haslgrübler-Huemer, M. (Speaker)
22 Jan 2018Activity: Talk or presentation › Invited talk › science-to-science
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Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment
Haslgrübler-Huemer, M. (Speaker)
25 Oct 2017Activity: Talk or presentation › Contributed talk › science-to-science
Prizes
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Best Paper Award
Gollan, B. (Recipient), Haslgrübler-Huemer, M. (Recipient), Ferscha, A. (Recipient) & Heftberger, J. (Recipient), Sept 2018
Prize: Prize, award or honor
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Best Student Paper Award
Amrouche, S. (Recipient), Gollan, B. (Recipient), Ferscha, A. (Recipient) & Heftberger, J. (Recipient), Jun 2018
Prize: Prize, award or honor
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