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Online Identification of Interaction Behaviors From Haptic Data During Collaborative Object Transfer

Kucukyilmaz, Ayse; Issak, Illimar

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Authors

Illimar Issak



Citation

Kucukyilmaz, A., & Issak, I. (2020). Online Identification of Interaction Behaviors From Haptic Data During Collaborative Object Transfer. IEEE Robotics and Automation Letters, 5(1), 96-102. https://doi.org/10.1109/LRA.2019.2945261

Journal Article Type Article
Acceptance Date Sep 16, 2019
Online Publication Date Oct 2, 2019
Publication Date 2020-01
Deposit Date Feb 26, 2020
Publicly Available Date Mar 3, 2020
Journal IEEE Robotics and Automation Letters
Electronic ISSN 2377-3766
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 5
Issue 1
Pages 96-102
DOI https://doi.org/10.1109/LRA.2019.2945261
Keywords feature extraction;Gaussian processes;haptic interfaces;human-robot interaction;image classification;robot vision;support vector machines;virtual reality;interaction state;physical interactions;interaction patterns;physical human-human interaction;general interaction types;interaction behaviors;collaborative object transfer;joint object transfer;online identification;haptic data;industrial settings;object co-manipulation;haptics-enabled virtual environment;sliding-window approach;feature extraction;online classification methodology;support vector machine classifier;SVMc;Gaussian process classifier;multiclass classification;general interaction type identification;automatic classification mechanism;Task analysis;Collaboration;Haptic interfaces;Feature extraction;Robots;Microsoft Windows;Taxonomy;Classification;Feature Extraction;Force and Tactile Sensing;Haptics and Haptic Interfaces;Human Factors and Human-in-the-Loop;Learning and Adaptive Systems;Physical Human-Human Interaction;Physical Human-Robot Interaction;Recognition
Public URL https://nottingham-repository.worktribe.com/output/4040501
Publisher URL https://ieeexplore.ieee.org/abstract/document/8854968
Additional Information © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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