Thermal infrared imaging-based affective computing and its application to facilitate human robot interaction: A review

Sie sind hier: Homepage > Suche

Thermal infrared imaging-based affective computing and its application to facilitate human robot interaction: A review

Freier Zugriff

Filippini C. / Perpetuini D. / Cardone D. / Chiarelli A. M. / Merla A.

Over recent years, robots are increasingly being employed in several aspects of modern society. Among others, social robots have the potential to benefit education, healthcare, and tourism. To achieve this purpose, robots should be able to engag+e humans, recognize users' emotions, and to some extent properly react and "behave" in a natural interaction. Most robotics applications primarily use visual information for emotion recognition, which is often based on facial expressions. However, the display of emotional states through facial expression is inherently a voluntary controlled process that is typical of human-human interaction. In fact, humans have not yet learned to use this channel when communicating with a robotic technology. Hence, there is an urgent need to exploit emotion information channels not directly controlled by humans, such as those that can be ascribed to physiological modulations. Thermal infrared imaging-based affective computing has the potential to be the solution to such an issue. It is a validated technology that allows the non-obtrusive monitoring of physiological parameters and from which it might be possible to infer affective states. This review is aimed to outline the advantages and the current research challenges of thermal imaging-based affective computing for human-robot interaction.

Zugriff

Download

Exportieren, teilen und zitieren

Dokumentinformationen

Titel :

Thermal infrared imaging-based affective computing and its application to facilitate human robot interaction: A review

Beteiligte:

Filippini C. (Autor:in) / Perpetuini D. (Autor:in) / Cardone D. (Autor:in) / Chiarelli A. M. (Autor:in) / Merla A. (Autor:in) / Filippini, C. / Perpetuini, D. / Cardone, D. / Chiarelli, A. M. / Merla, A.

Erscheinungsdatum :

2020-01-01

DOI :

https://doi.org/10.3390/APP10082924

Medientyp :

Aufsatz (Zeitschrift)

Format :

Elektronische Ressource

Sprache :

Englisch

Schlagwörter :

Affective computing , Emotion recognition , Human-robot interaction , Social robot , Thermal IR imaging