Dynamic model of athletes’ emotions based on wearable devices

Damien Dupré*, Ben Bland, Andrew Bolster, Gawain Morrison, Gary McKeown

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

With the development of wearable sensors, it is now possible to assess the dynamic progression of physiological rhythms such as heart rate, breathing rate or galvanic skin response in ways and places that were previously impractical. This paper presents a new application that synchronizes the emotional patterns from these time-series in order to model athletes’ emotion during physical activity. This data analysis computes a best-fitting model for analyzing the patterns given by these measurements “in the wild”. The recording setup used to measure and synchronize multiple biometric physiological sensors can be called a BAN (Body Area Network) of personal measurements. By monitoring physical activity, it is now possible to calculate optimal patterns for managing athletes’ emotion. The data provided here are not restricted by a lab environment but close to the “ground truth” of ecologically valid physiological changes. The data allow the provision of accurate feedback to athletes about their emotion (e.g. in cases such as an unexpected increase or an expected decrease of physiological activity).

Original languageEnglish
Title of host publicationAdvances in Human Factors in Sports, Injury Prevention and Outdoor Recreation - Proceedings of the AHFE 2017 International Conference on Human Factors in Sports, Injury Prevention and Outdoor Recreation, 2017
PublisherSpringer Verlag
Pages42-50
Number of pages9
Volume603
ISBN (Print)9783319608211
DOIs
Publication statusPublished - 2018
EventAHFE 2017 International Conference on Human Factors in Sports, Injury Prevention and Outdoor Recreation, 2017 - Los Angeles, United States
Duration: 17 Jul 201721 Jul 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume603
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Factors in Sports, Injury Prevention and Outdoor Recreation, 2017
CountryUnited States
CityLos Angeles
Period17/07/201721/07/2017

Keywords

  • Multimodal measure
  • Outdoor activities
  • Physiology
  • Time-series
  • Wearable sensors

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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