Dr.-Ing. Sebastian Arndt

[1]

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[2]

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Research Field:

• Quality

Research Topics:

• Neurotechnology

Current Project

•  PflegeTab [3]

Past Projects

• prometei [4]
• HC3 [5]

Biography:
  Sebastian Arndt is a researcher at the Quality and Usability Lab of the Telekom Innovation Laboratories, TU Berlin. He studied Computer Science at Technische Universität Berlin and received his diploma in 2010. He received his doctoral degree (Dr.-Ing.) in 2015 with the thesis title 'Neural Correlates of Quality During Perception of Audiovisual Stimuli'. His current research focus is on physiological changes during the perception of audiovisual quality. 2012 he was a visiting researcher at MuSAE Lab (Montreal, Canada) in order to work on multimodal neural correlates for synthesized speech.    
Address:

Quality and Usability Lab
Deutsche Telekom Laboratories
TU Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
Telefon:
+49 30 8353 58328
+49 1709147458    E-Mail: sebastian.arndt@telekom.de [6]

Publications

Changes in blinking behavior while watching videos with reduced quality

Zitatschlüssel	schleicher2013a
Autor	Schleicher, Robert and Arndt, Sebastian and Antons, Jan-Niklas
Buchtitel	Abstracts of the 17th European Conference on Eye Movements
Seiten	130
Jahr	2013
ISSN	1995-8692
DOI	10.16910/jemr.6.3.1
Workshop	Conference
Ort	Lund, Sweden
Monat	aug
Notiz	Electronic/online
Serie	ECEM
Wie herausgegeben	Abstract
Zusammenfassung	This study examines the effect of quality impairment on eye blink behavior as an indicator for fatigue while watching HD movies. Subjects watched eighteen minutes excerpts from a HD movie of sea-life scenes in original quality as well as with a reduced bitrate, a common impairment when streaming audiovisual material. Each six minutes, subjects rated the perceived video quality on a scale recommended by the International Telecommunication Union (ITU). Order of presentation was randomized across subjects. The version with reduced bitrate was rated to be of significantly lower quality than the high-quality version. Eye movements were recorded using electrooculogram (EOG), and blinks were extracted semi-automatically using freely available software for Matlab. All blink parameters were normalized subject-wise using the first two minutes of each video block as a baseline. While the interval between two blinks, i.e. the blink rate, showed no significant change between or within the videos, indicating comparable visual load across the sequences, average blink duration was significantly higher for the lower quality video, indicating a stronger fatiguing effect caused by the quality impairments. These results suggest that blink parameters can be deployed to assess the tonic effects of reduced video quality on the viewer.

Link zur Originalpublikation [7] Download Bibtex Eintrag [8]

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