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Issue No. 04 - Oct.-Dec. (2016 vol. 15)
ISSN: 1536-1268
pp: 56-65
Iman Khaghani-Far , University of Trento, Italy
Svetlana Nikitina , National Research Tomsk Polytechnic University, Russia
Marcos Baez , University of Trento, Italy
Ekaterina A. Taran , National Research Tomsk Polytechnic University, Russia
Fabio Casati , University of Trento, Italy
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.
Training, Home automation, Mobile computing, User centered design, Software engineering, Information technology, Human factors, Computer applications,mobile, pervasive computing, mobile applications, healthcare, user-centered design, user interfaces, information interfaces and representation, information technology and systems, human factors in software design, software engineering
Iman Khaghani-Far, Svetlana Nikitina, Marcos Baez, Ekaterina A. Taran, Fabio Casati, "Fitness Applications for Home-Based Training", IEEE Pervasive Computing, vol. 15, no. , pp. 56-65, Oct.-Dec. 2016, doi:10.1109/MPRV.2016.76
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