Del Vecchio, Alessandro ; Castellini, Claudio ; Beckerle, Philipp (2024)
Peripheral Neuroergonomics – An Elegant Way to Improve Human-Robot Interaction?
In: Frontiers in Neurorobotics, 2021, 15
doi: 10.26083/tuprints-00019632
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Peripheral Neuroergonomics – An Elegant Way to Improve Human-Robot Interaction? |
| Language: | English |
| Date: | 19 January 2024 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2021 |
| Place of primary publication: | Lausanne |
| Publisher: | Frontiers Media S.A. |
| Journal or Publication Title: | Frontiers in Neurorobotics |
| Volume of the journal: | 15 |
| Collation: | 5 Seiten |
| DOI: | 10.26083/tuprints-00019632 |
| Corresponding Links: | |
| Origin: | Secondary publication DeepGreen |
| Abstract: | The day seems not too far away, in which robots will be an active part of our daily life, just like electric appliances already are. Hence, there is an increasing need for paradigms, tools, and techniques to design proper human-robot interaction in a human-centered fashion (Beckerle et al., 2017). To this end, appropriate Human-Machine Interfaces (HMIs) are required, and there is a growing body of research showing how the Peripheral Nervous System (PNS) might be the ideal channel through which this interaction could proficiently happen. |
| Uncontrolled Keywords: | peripheral interfaces, myography, user experience, neuroergonomics, human-robot interaction |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-196329 |
| Additional Information: | This article is part of the Research Topic Neuroergonomics in Human-Robot Interaction |
| Classification DDC: | 600 Technology, medicine, applied sciences > 610 Medicine and health 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 16 Department of Mechanical Engineering > Institute for Mechatronic Systems in Mechanical Engineering (IMS) |
| Date Deposited: | 19 Jan 2024 14:30 |
| Last Modified: | 12 Mar 2024 10:27 |
| SWORD Depositor: | Deep Green |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/19632 |
| PPN: | 516170503 |
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