DJ-Running: Wearables and Emotions for Improving Running Performance

  • Pedro ÁlvarezEmail author
  • José Ramón Beltrán
  • Sandra Baldassarri
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 876)


Music can have a positive influence on long-distance runners’ motivation and performance. It requires selecting the most suitable music by considering the runner’s physiological data, the type of training session and the geographical and environmental conditions under which the activity is done. In this context, we are interested in studying the runners’ emotions during the training sessions and in using these emotions to recommend personalized music that increases their motivation and performance. More specifically, in this paper we present an adapted glove that integrates different sensors for collecting data, which help to determine the runner’s emotional state, and the changes that it experiences. Preliminary results about the interpretation of these data and emotions are discussed and a prototype of recommendation system based on Spotify is sketched.


Wearable devices Emotions Sport Music Long-distance runners 



This work has been supported by the research project TIN2015-72241-EXP granted by the Spanish Ministerio de Economía y Competitividad.


  1. 1.
    Terry P.C., Karageorghis C.I.: Psychophysical effects of music in sport and exercise: An update on theory, research and application. In: The Joint Conference of the Australian and the New Zealand Psychological Societies, pp. 415–419 (2006)Google Scholar
  2. 2.
    Brooks, K.: Enhancing sports performance through the use of music. J. Exerc. Physiol. 2010 13(2), 5–57 (2012)Google Scholar
  3. 3.
    Deshmukh, P., Kale, G.: A survey of music recommendation system. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. 3(3), 1721–1729 (2018)Google Scholar
  4. 4.
    He, C., Yao, Y., Ye, X.: An emotion recognition system based on physiological signals obtained by wearable sensors. In: Yang, C., Virk, G., Yang, H. (eds.) Wearable Sensors and Robots. Lecture Notes in Electrical Engineering, vol. 329, pp. 15–25. Springer, Singapore (2017)CrossRefGoogle Scholar
  5. 5.
    The DJ-Running project (2018). Accessed 27 Jun 2018
  6. 6.
    The AcousticBrainz project (2018). Accessed 27 Jun 2018
  7. 7.
    Run and Cycling Tracking on the Social Network for Athletes (2018). (2018). Accessed 27 Jun 2018
  8. 8.
    Wang, H., Prendinger, H., Igarashi, T.: Communicating emotions in online chat using physiological sensors and animated text. In The ACM Conference on Human Factors in Computing Systems, CHI 2004 Extended Abstracts on Human factors in computing systems, pp. 1171–1174. ACM (2004)Google Scholar
  9. 9.
    Arduino Nano, Technical Specifications (2018). Accessed 27 Jun 2018

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Pedro Álvarez
    • 1
    Email author
  • José Ramón Beltrán
    • 2
  • Sandra Baldassarri
    • 1
  1. 1.Department of Computer Science and Systems EngineeringUniversity of ZaragozaZaragozaSpain
  2. 2.Department of Electronic Engineering and CommunicationsAragón Institute of Engineering Research (I3A), University of ZaragozaZaragozaSpain

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