Alle Publikationen
- <<
- <
- 1
2017
-
(2017): Real-time gesture translation in intercultural communication. In: AI & Society 32 (1), S. 25-35. DOI: 10.1007/s00146-014-0573-4
Abstract: Nonverbal behavior plays a crucial role in human communication and often leads to misunderstandings between people from different cultures, even if they speak the same language fluently. While translation systems are available for verbal communication, translators for nonverbal communication do not exist yet. We present the conceptual design and an early prototype of a real-time gesture translator using body tracking and gesture recognition in avatar-mediated intercultural interactions. It contributes to the ambitious goal of bridging between cultures by translating culture-specific gestures to enhance mutual understanding. Possible applications of the gesture translator are discussed as a facilitating tool for global business meetings and as a means of technology-enhanced conflict resolution and prevention.
Keywords: body tracking, Computerwissenschaft, Cultural interaction, culture specific, Disziplin, Gestik, Gestik/Mimik, gesture, Interaktion, Kommunikation, kulturspezifisch, Kulturtheorie, Mensch-Technik-Relationen (MTR), Nonverbal behaviour, Nonverbales Verhalten, Personenerkennung, Realtechnik, real-time gesture translation, Sozial Intelligente Agenten, Status / biologische Marker, Technik, translators for nonverbal communication 2016
-
(2016) : May I be your Personal Coach? Bringing Together Person Tracking and Visual Re-identification on a Mobile Robot In: VDE: Proceedings of ISR 2016: 47st International Symposium on Robotics: Berlin: VDE Verlag GmbH, S. 1-8. Online verfügbar unter https://ieeexplore.ieee.org/document/7559109/
Abstract: Mobile robots following and guiding stroke patients during their rehabilitation program are in the focus of our research in rehabilitation robotics. To be able to act autonomously, it is crucial for the robot to extract long and precise movement trajectories of the patients. But already keeping track on one specific person in a crowded dynamic environment is inherently hard, since multi-sensor tracking as well as appearance-based re-identification are challenging tasks in realworld environments. Therefore, we aim for developing a coupled person tracking system that combines user tracking by spatial proximity with appearance-based user recognition. We analyzed all subcomponents of such a system and identified four essential parts, that significantly influence the overall performance. We show, that it is essential, to (1) accurately detect all persons in scene, (2) track people as long as no ambiguities occur, (3) visually re-identify the user otherwise, and (4) reduce the search space for re-identification to just relevant hypotheses using spatial proximity as criterion. In our experiments, we show, that by addressing all these aspects, our system significantly outperforms each approach, that excludes just one of these important parts.
1993
-
(1993): Deixis in the man-machine interaction - multimedial referent identification during natural and simulated pointing gestures. In: Semiotica (96), S. 319-334
- <<
- <
- 1