Predicting workout quality to help coaches support sportspeople

Boratto L.;Carta S.;Iguider W.;Mulas F.;Pilloni P.
2018-01-01

Abstract

The support of a qualified coach is crucial to keep the motivation of sportspeople high and help them pursuing an active lifestyle. In this paper,we discuss the scenario in which a coach follows sportspeople remotely by means of an eHealth platform, named u4fit. Having to deal with several users at the same time, with no direct human contact, means that it is hard for coaches to quickly spot who, among the people she follows, needs a more timely support. To this end, in this paper we present an automated approach that analyzes the adherence of sportspeople to their planned workout routines. The approach is able to suggest to the coach the sportspeople who need earlier support due to a poor performance. Experiments on real data, evaluated through classic accuracy metrics, show the effectiveness of our approach.
2018
Inglese
HealthRecSys 2018. Health Recommender Systems
CEUR-WS
2216
8
12
5
3rd International Workshop on Health Recommender Systems, HealthRecSys 2018
Comitato scientifico
6 October 2018
Vancouver, Canada
scientifica
eCoaching; Health recommendation; Healthy lifestyle; Motivation; Personalized persuasive technologies
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Boratto, L.; Carta, S.; Iguider, W.; Mulas, F.; Pilloni, P.
273
5
4.1 Contributo in Atti di convegno
open
info:eu-repo/semantics/conferencePaper
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