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Hugh Alexander von Arnim

Doctoral Research Fellow -
Image of Hugh Alexander von Arnim
Norwegian version of this page
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Visiting address Forskningsv. 3A Harald Schjelderups hus 0373 ̽»¨¾«Ñ¡
Postal address Postboks 1133 Blindern 0318 ̽»¨¾«Ñ¡
Other affiliations (Student)

Academic interests

Hugh Alexander von Arnim has a background in music technology, audio engineering, and music production. His research interests include the multimodal analysis of musicking data, sensor data fusion, motion capture, and interactive systems. He is also interested in cultural perspectives on mediatised representations of the body obtained through motion capture technologies.

His PhD project is centred on methodological approaches to the analysis of musicking datasets consisting of multiple data modalities, with focus on how spatial and temporal information is represented in fused data.

Open Source Thesis

The thesis writing process is open source and available to read and download as Markdown source .

Background

  • 2021-2024: M.Phil in Music, Communication and Technology, University of ̽»¨¾«Ñ¡, ̽»¨¾«Ñ¡, Norway
  • 2017-2021: B.A. in Sound and Music Production, Darmstadt University of Applied Sciences, Darmstadt, Germany

Awards

  • 2021: Young Research Award of the German Association for Music Business and Music Culture Research 2nd place

 

 

 

Tags: multimodal analysis, data fusion, sound analysis, motion analysis, sensors, signal processing, machine learning

Publications

  • von Arnim, Hugh Alexander; Kelkar, Tejaswinee & Noven, Live (2025). Motion Pointillism: The (Re/De)Construction of the Normative Body through Motion Capture. Documenta. ISSN 0771-8640. 42(1), p. 51–79. doi: .
  • Thorsen, Ola; Esema, Emmanuel Joseph; Hemaz, Said; Ellefsen, Kai Olav; Herrebrøden, Henrik & von Arnim, Hugh Alexander [Show all 7 contributors for this article] (2024). Can machine learning help reveal the competitive advantage of elite beach volleyball players? . In Westphal, Florian; Peretz-Andersson, Einav; Riveiro, Maria; Bach, Kerstin & Heintz, Fredrik (Ed.), 14th Scandinavian Conference on Artificial Intelligence SCAI 2024, June 10-11, 2024, Jönköping, Sweden. . ISSN 978-91-8075-709-6. p. 57–66. doi: .
  • von Arnim, Hugh Alexander; Fasciani, Stefano & Erdem, Cagri (2023). The Feedback Mop Cello: An Instrument for Interacting with Acoustic Feedback Loops. In Ortiz, Miguel & Marquez-Borbon, Adnan (Ed.), Proceedings of the International Conference on New Interfaces for Musical Expression. . ISSN 2220-4792. p. 494–499. doi: .

  • Esterhazy, Rachelle; von Arnim, Hugh Alexander & Damsa, Crina I. (2025). Multimodal learning analytics to explore key moments of interdisciplinary knowledge-construction.
  • Esterhazy, Rachelle; von Arnim, Hugh Alexander & Damsa, Crina I. (2024). Multimodal learning analytics to explore key moments of interdisciplinary knowledge-construction.
  • von Arnim, Hugh Alexander & Kelkar, Tejaswinee (2024). The Shapeshifter: Motion Capture and Interactive Dance for Co-constructing the Body.

Published Sep. 4, 2024 1:25 PM - Last modified Nov. 8, 2024 4:31 PM