Dr David Plans

Research Interests

  • Adaptive media algorithms as healthcare industry disruptors (SXSW'13 Accelerator)
  • Better media discovery through biometric algorithms (won Echo Nest prize)
  • Large-scale content-based retrieval for audiovisual archives (achieved 500K funding so far)
  • Procedural audiovisual content generation for games engines (published IEEE journal papers)
  • Cryptocurrency-based value exchange systems in healthcare data

Contact Me

Phone: 01483 68 3524

Find me on campus
Room: 56 MS 03


Journal articles

  • Cropley M, Plans D, Morelli D, Inceoglu I, Thomas G, Chu C. (2017) 'The Association between Work-Related Rumination and Heart Rate Variability: A Field Study'. Frontiers Media Frontiers in Human Neuroscience, 11 Article number 27


    The objective of this study was to examine the association between perseverative cognition in the form of work-related rumination, and heart rate variability (HRV). We tested the hypothesis that high ruminators would show lower vagally mediated HRV relative to low ruminators during their leisure time. Individuals were classified as being low (n = 17) or high ruminators (n = 19), using the affective scale on the work-related rumination measure. HRV was assessed using a wrist sensor band (Microsoft Band 2). HRV was sampled between 8 pm and 10 pm over three workday evenings (Monday to Wednesday) while individuals carried out their normal evening routines. Compared to the low ruminators, high affective ruminators demonstrated lower HRV in the form of root mean square successive differences (RMSSDs), relative to the low ruminators, indicating lower parasympathetic activity. There was no significant difference in heart rate, or activity levels between the two groups during the recording periods. The current findings of this study may have implications for the design and delivery of interventions to help individuals unwind post work and to manage stress more effectively. Limitations and implications for future research are discussed.

  • Plans D, Morelli D. (2012) 'Experience-Driven Procedural Music Generation for Games'. Computational Intelligence and AI in Games, IEEE Transactions on, 4 (3), pp. 192-198.
  • Plans Casal D. (2011) 'Crowdsourcing the Corpus: Using Collective Intelligence as a Method for Composition'. Leonardo Music Journal, - (21), pp. 25-28.
  • Plans Casal D. (2005) 'Apache Cocoon: an applications framework for the JISC IE'. The Journal of Information and Knowledge Management Systems, 35 (1-2), pp. 70-77.

Conference papers

  • Font F, Brookes TS, Fazekas G, Guerber M, La Burthe A, Plans D, Plumbley M, Shaashua M, Wang W, Serra X. (2016) 'Audio Commons: bringing Creative Commons audio content to the creative industries'. London, UK: 61st International Conference: Audio for Games


    Significant amounts of user-generated audio content, such as sound effects, musical samples and music pieces, are uploaded to online repositories and made available under open licenses. Moreover, a constantly increasing amount of multimedia content, originally released with traditional licenses, is becoming public domain as its license expires. Nevertheless, the creative industries are not yet using much of all this content in their media productions. There is still a lack of familiarity and understanding of the legal context of all this open content, but there are also problems related with its accessibility. A big percentage of this content remains unreachable either because it is not published online or because it is not well organised and annotated. In this paper we present the Audio Commons Initiative, which is aimed at promoting the use of open audio content and at developing technologies with which to support the ecosystem composed by content repositories, production tools and users. These technologies should enable the reuse of this audio material, facilitating its integration in the production workflows used by the creative industries. This is a position paper in which we describe the core ideas behind this initiative and outline the ways in which we plan to address the challenges it poses.

  • Plans E, Morelli D, Plans D. (2015) 'AudioNode: Prototypical Affective Modelling in Experience-driven Procedural Music Generation'. Brigham Young University 1st Computational Creativity and Games Workshop, Park City, Utah: Sixth International Conference on Computational Creativity
  • Plans Casal D. (2010) 'Decomposing Autumn : A Component-Wise Recomposition'.
  • Plans Casal D. (2008) 'Time After Time : Short-circuiting The Emotional Distance Between Algorithm And Human Improvisors'.
  • Plans Casal D. (2007) 'Remembering the Future : and Overview of Co-Evolution in Musical Improvisation'.
  • Plans Casal DAM. (2007) 'Remembering the Future : Towards and Application of Genetic Co-Evolution in Music Improvisation'.

Book chapters

  • Plans Casal D. (2010) 'Co-evolution and MPEG7 matching in creating Artificial Music Improvisors'. in Miranda E (ed.) Music as It Could Be: New Musical Worlds from Artificial Life Middleton, WI, USA : A-R Editions

Other publications

  • Plans Casal D. (2005) Advanced software development for web applications. Techwatch Reports

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