Fitness Applications for Home-Based Training

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

School of Engineering Entrepreneurship

Research output: Contribution to journal › Article

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 language	English
Article number	7676200
Pages (from-to)	56-65
Number of pages	10
Journal	IEEE Pervasive Computing
Volume	15
Issue number	4
DOIs	https://doi.org/10.1109/MPRV.2016.76
Publication status	Published - 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

Khaghani-Far, I., Nikitina, S., Báez, M., Taran, E. A., & Casati, F. (2016). Fitness Applications for Home-Based Training. IEEE Pervasive Computing, 15(4), 56-65. [7676200]. https://doi.org/10.1109/MPRV.2016.76

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Access to Document

10.1109/MPRV.2016.76