dc.contributor.author | Scheunemann, Marcus M. | |
dc.contributor.author | Dautenhahn, Kerstin | |
dc.date.accessioned | 2019-10-12T00:01:55Z | |
dc.date.available | 2019-10-12T00:01:55Z | |
dc.date.issued | 2017-03-06 | |
dc.identifier.citation | Scheunemann , M M & Dautenhahn , K 2017 , Bluetooth low energy for autonomous human-robot interaction . in Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction . Institute of Electrical and Electronics Engineers (IEEE) , pp. 52 , 12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017 , Vienna , Austria , 6/03/17 . https://doi.org/10.1145/3029798.3036663 | |
dc.identifier.citation | conference | |
dc.identifier.isbn | 9781450348850 | |
dc.identifier.other | ORCID: /0000-0002-0815-7024/work/63007865 | |
dc.identifier.uri | http://hdl.handle.net/2299/21733 | |
dc.description | © 2017 Copyright held by the owner/author(s). | |
dc.description.abstract | This demonstration shows how inexpensive, off-the-shelf, and unobtrusive Bluetooth Low Energy (BLE) devices can be utilized for enabling robots to recognize touch gestures, to perceive proximity information, and to distinguish between interacting individuals autonomously. The received signal strength (RSS) between the BLE device attached to the robot and BLE devices attached to the interacting individuals is used to achieve this. Almost no software configuration is needed and the setup can be applied to most everyday environments and robot platforms. | en |
dc.format.extent | 1 | |
dc.format.extent | 141691 | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.ispartof | Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction | |
dc.subject | autonomous interaction | |
dc.subject | bluetooth low energy | |
dc.subject | human-robot interaction | |
dc.subject | proxemics | |
dc.subject | robot design | |
dc.subject | Artificial Intelligence | |
dc.subject | Human-Computer Interaction | |
dc.subject | Electrical and Electronic Engineering | |
dc.title | Bluetooth low energy for autonomous human-robot interaction | en |
dc.contributor.institution | Adaptive Systems | |
dc.contributor.institution | ECS Computer Science VLs | |
dc.contributor.institution | Department of Computer Science | |
dc.contributor.institution | School of Physics, Engineering & Computer Science | |
dc.contributor.institution | School of Computer Science | |
dc.contributor.institution | Centre for Computer Science and Informatics Research | |
dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85016417792&partnerID=8YFLogxK | |
rioxxterms.versionofrecord | 10.1145/3029798.3036663 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |