Robust recognition of tactile gestures for intuitive robot programming and control

Tactile surface sensors (TSSs) are often utilized for contact management in human robot interaction scenarios. To provide added value in these applications, online robot programming approaches may exploit TSSs as gesture input devices. To this end, we introduce an invariant, compact gesture represen...

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Published inProceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 1643 - 1650
Main Authors Kubus, Daniel, Muxfeldt, Arne, Kissener, Konrad, Haus, Jan, Steil, Jochen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2017
Subjects
Gesture recognition
Reliability
Robot programming
Robot sensing systems
Service robots
Online AccessGet full text
ISSN2153-0866
DOI10.1109/IROS.2017.8205974

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Abstract Tactile surface sensors (TSSs) are often utilized for contact management in human robot interaction scenarios. To provide added value in these applications, online robot programming approaches may exploit TSSs as gesture input devices. To this end, we introduce an invariant, compact gesture representation which facilitates robust and efficient online gesture recognition even for very small training data sets. The proposed two-stage recognition approach permits reliable gesture classification as well as convenient parameter extraction in the presence of typical disturbances affecting TSSs attached to manipulator links. Our experimental results demonstrate the remarkable recognition performance of the proposed approach using a set of 16 gestures and data of up to 31 subjects.
AbstractList Tactile surface sensors (TSSs) are often utilized for contact management in human robot interaction scenarios. To provide added value in these applications, online robot programming approaches may exploit TSSs as gesture input devices. To this end, we introduce an invariant, compact gesture representation which facilitates robust and efficient online gesture recognition even for very small training data sets. The proposed two-stage recognition approach permits reliable gesture classification as well as convenient parameter extraction in the presence of typical disturbances affecting TSSs attached to manipulator links. Our experimental results demonstrate the remarkable recognition performance of the proposed approach using a set of 16 gestures and data of up to 31 subjects.
Author Steil, Jochen
Kubus, Daniel
Muxfeldt, Arne
Kissener, Konrad
Haus, Jan
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  organization: Inst. fur Robotik und Prozessinformatik, Tech. Univ. Braunschweig, Braunschweig, Germany
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Snippet Tactile surface sensors (TSSs) are often utilized for contact management in human robot interaction scenarios. To provide added value in these applications,...
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SubjectTerms Gesture recognition
Reliability
Robot programming
Robot sensing systems
Service robots
Title Robust recognition of tactile gestures for intuitive robot programming and control
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