Online intention recognition in computer-assisted teleoperation systems

Nikolay Stefanov, Angelika Peer, Martin Buss

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

8 Zitate (Scopus)

Abstract

Limitations of state-of-the-art teleoperation systems can be compensated by using shared-control teleoperation architectures that provide haptic assistance to the human operator. This paper presents a new approach for computer-assisted teleoperation, which recognizes human intentions and dependent on the classified task activates different types of assistances. For this purpose, time series haptic data is recorded during interaction, passed through an event-based feature extraction, and finally used for task classification by applying a Hidden Markov Model approach. The effect of the assistance function on human behavior is discussed and taken into account by training multiple classifiers for each type of assistance. The introduced approach is finally validated in a real hardware experiment. Results show an accurate intention recognition for assisted and non-assisted teleoperation.

OriginalspracheEnglisch
TitelHaptics
UntertitelGenerating and Perceiving Tangible Sensations - International Conference, EuroHaptics 2010, Proceedings
Seiten233-239
Seitenumfang7
AuflagePART 1
DOIs
PublikationsstatusVeröffentlicht - 2010
VeranstaltungInternational Conference on Haptics: Generating and Perceiving Tangible Sensations, EuroHaptics 2010 - Amsterdam, Niederlande
Dauer: 8 Juli 201010 Juli 2010

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NummerPART 1
Band6191 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

KonferenzInternational Conference on Haptics: Generating and Perceiving Tangible Sensations, EuroHaptics 2010
Land/GebietNiederlande
OrtAmsterdam
Zeitraum8/07/1010/07/10

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