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Data acquisition towards defining a multimodal interaction model for human-assistive robot communication

Fotinea, Stavroula-Evita; Efthimiou, Eleni; Dimou, Athanasia-Lida; Goulas, Theo; Karioris, Panayotis; Peer, Angelika; Maragos, Petros; Tzafestas, Costas; Kokkinos, Iasonas; Hauer, Klaus; Mombaur, Katja; Koumpouros, Ioannis; Stanzyk, Bartlomiej

Authors

Stavroula-Evita Fotinea

Eleni Efthimiou

Athanasia-Lida Dimou

Theo Goulas

Panayotis Karioris

Angelika Peer

Petros Maragos

Costas Tzafestas

Iasonas Kokkinos

Klaus Hauer

Katja Mombaur

Ioannis Koumpouros

Bartlomiej Stanzyk



Abstract

We report on the procedures followed in order to acquire a multimodal sensory corpus that will become the primary source of data retrieval, data analysis and testing of mobility assistive robot prototypes in the European project MOBOT. Analysis of the same corpus with respect to all sensorial data will lead to the definition of the multimodal interaction model; gesture and audio data analysis is foreseen to be integrated into the platform in order to facilitate the communication channel between end users and the assistive robot prototypes expected to be the project’s outcomes. In order to allow estimation of the whole range of sensorial data acquired, we will refer to the data acquisition scenarios followed in order to obtain the required multisensory data and to the initial post-processing outcomes currently available.

Presentation Conference Type Conference Paper (unpublished)
Conference Name Universal Access in Human/Computer Interaction. Aging and Assistive Environments, UAHCI/HCII
Acceptance Date Jun 22, 2014
Publication Date Jan 1, 2014
Deposit Date Apr 27, 2017
Peer Reviewed Peer Reviewed
Keywords assistive robot, natural HRI, multimodal communication model,
multisensory data acquisition
Public URL https://uwe-repository.worktribe.com/output/824143
Additional Information Title of Conference or Conference Proceedings : Universal Access in Human/Computer Interaction. Aging and Assistive Environments, UAHCI/HCII
Contract Date Apr 27, 2017



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