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Statistical Analysis of Joystick Trajectories

Wagner, Marius (2017) Statistical Analysis of Joystick Trajectories. Master's. DLR-Interner Bericht. DLR-IB-RM-OP-2017-122, 87 S.

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The research field of affective computing aims to improve human-machine interaction. One of the main goals is to enable autonomous systems to recognize and adapt to human emotions. Machine learning is able to find an attribution between physiological reactions and underlying emotions. In order to provide labelled training data, human subjects annotate emotional stimuli in experimental studies. Three major challenges of the resulting continuous annotation data are: 1. Finding a suitable representation of this complex data, 2. Comparing the annotations of different subjects, 3. Combining the annotations to provide reliable ground truth for machine learning. Since previous research did not take into account the continuous nature of the annotation data, a functional data approach is introduced: Annotations are represented as smooth functions in a low-dimensional functional eigenspace. Comparison and ground truth estimation is then performed using simple statistical methods.

Item URL in elib:https://elib.dlr.de/123463/
Document Type:Monograph (DLR-Interner Bericht, Master's)
Additional Information:Supervisors: Karan Sharma, Claudio Castellini
Title:Statistical Analysis of Joystick Trajectories
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Wagner, MariusMarius.Wagner (at) dlr.deUNSPECIFIED
Date:15 May 2017
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Number of Pages:87
Keywords:statistics, affective computing, functional data analysis
Institution:Ludwig-Maximilians-University of Munich
Department:Department of Statistics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Technik für Raumfahrtsysteme
DLR - Research theme (Project):R - Vorhaben Terrestrische Assistenz-Robotik
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013) > Cognitive Robotics
Deposited By: Sharma, Karan
Deposited On:27 Nov 2018 09:09
Last Modified:31 Jul 2019 20:21

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