Fitness Applications for Home-Based Training

Iman Khaghani-Far, Svetlana Nikitina, Marcos Báez, Ekaterina A. Taran, Fabio Casati

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Recent technological advances have created enormous opportunities for developing applications that support training from home - particularly for older adults, who often are socially more isolated, are physically less active, and have fewer chances to train in a gym. In this article, the authors review current fitness applications and their features alongside the design challenges and opportunities of fitness applications for trainees at home.

Original languageEnglish
Article number7676200
Pages (from-to)56-65
Number of pages10
JournalIEEE Pervasive Computing
Volume15
Issue number4
DOIs
Publication statusPublished - 1 Oct 2016

Keywords

  • healthcare
  • human factors in software design
  • information interfaces and representation
  • information technology and systems
  • mobile
  • mobile applications
  • pervasive computing
  • software engineering
  • user interfaces
  • user-centered design

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computational Theory and Mathematics

Cite this

Fitness Applications for Home-Based Training. / Khaghani-Far, Iman; Nikitina, Svetlana; Báez, Marcos; Taran, Ekaterina A.; Casati, Fabio.

In: IEEE Pervasive Computing, Vol. 15, No. 4, 7676200, 01.10.2016, p. 56-65.

Research output: Contribution to journalArticle

Khaghani-Far, I, Nikitina, S, Báez, M, Taran, EA & Casati, F 2016, 'Fitness Applications for Home-Based Training', IEEE Pervasive Computing, vol. 15, no. 4, 7676200, pp. 56-65. https://doi.org/10.1109/MPRV.2016.76
Khaghani-Far, Iman ; Nikitina, Svetlana ; Báez, Marcos ; Taran, Ekaterina A. ; Casati, Fabio. / Fitness Applications for Home-Based Training. In: IEEE Pervasive Computing. 2016 ; Vol. 15, No. 4. pp. 56-65.
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