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Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-9686-9127
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-0305-3728
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-3122-693X
2017 (English)In: Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups, Umeå, Sweden: Umeå University , 2017Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

In this paper, we extend an algorithm to detect constraint based F-formations for a telepresence robot and also consider the situation when the robot is in motion. The proposed algorithm is computationally inexpensive, uses an egocentric (first-person) vision, low memory, low quality vision settings and also works in real time which is explicitly designed for a mobile robot. The proposed approach is a first step advancing in the direction of automatically detecting F-formations for the robotics community.

Place, publisher, year, edition, pages
Umeå, Sweden: Umeå University , 2017.
Keywords [en]
Social Robot, F-formations, Face Orientation
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-64606OAI: oai:DiVA.org:oru-64606DiVA, id: diva2:1178300
Conference
ECCE Workshop 2017: : Robots in Contexts: Human-Robot Interaction as Physically and Socially Embedded conducted at Umeå University, Sweden, 19 September, 2017
Projects
Successful AgeingAvailable from: 2018-01-29 Created: 2018-01-29 Last updated: 2018-02-12Bibliographically approved

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Towards a Method to Detect F-formations in Real-Time to Enable Social Robots to Join Groups(9355 kB)66 downloads
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Krishna, SaiKiselev, AndreyLoutfi, Amy
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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Output format
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