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Dr.-Ing. Sebastian Arndt
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Research Field:
- Quality
Research Topics:
- Neurotechnology
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
Publications
| Zitatschlüssel | arndt2018a |
|---|---|
| Autor | Arndt, Sebastian and Perkis, Andrew and Voigt-Antons, Jan-Niklas |
| Buchtitel | Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports |
| Seiten | 45–50 |
| Jahr | 2018 |
| ISBN | 978-1-4503-5981-8 |
| DOI | 10.1145/3265845.3265848 |
| Ort | Seoul, Republic of Korea |
| Adresse | New York, NY, USA |
| Monat | oct |
| Notiz | Online |
| Verlag | ACM |
| Serie | MMSports'18 |
| Wie herausgegeben | Fullpaper |
| Zusammenfassung | Technology is advancing rapidly in the domain of virtual reality, as well as in using sensors to gather feedback from our body and the environment we are interacting in. Combining these two technologies gives us the opportunity to create personalized and reactive immersive environments. These environments can be used for training of dangerous situations (e.g. fire, crashes, etc) or to improve skills with less distraction than regular natural environments would offer. The pilot study described in this paper, puts an athlete rowing on a stationary rowing machine into a virtual environment. The virtual reality receives movement data from several sensors of the rowing machine and displays those in the head-mounted display. In addition, metrics on technique are derived from the sensor data as well as physiological data. All this is used to investigate if and to which extend VR improves the technical skills of an athlete, during the complex sport of rowing. Furthermore, athletes are given subjective feedback about their performance comparing the standard rowing workout with the workout using VR. First results indicate improved performance of the workout and an enhanced experience for the athlete in the VR condition. |