Introduction of the relative Activity Index. Towards a fair method to score school children's activity using smartphones.

Autor/inn/en	Preuschl, Emanuel; Tampier, Martin; Schermer, Tobias; Baca, Arnold
Titel	Introduction of the relative Activity Index. Towards a fair method to score school children's activity using smartphones. Gefälligkeitsübersetzung: Einführung des relativen Aktivitätsindexes. Eine faire Methode zur Messung der Aktivität von Schulkindern anhand von Smartphones.
Quelle	Aus: Chung, Paul (Hrsg.); Soltoggio, Andrea (Hrsg.); Dawson, Christian W. (Hrsg.); Meng, Qinggang (Hrsg.); Pain, Matthew (Hrsg.): Proceedings of the 10th International Symposium on Computer Science in Sports (ISCSS). Cham: Springer International Publishing (2016) S. 153-156 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Sammelwerksbeitrag
ISBN	978-3-319-24558-4
DOI	10.1007/978-3-319-24560-7_19
Schlagwörter	Vergleichsuntersuchung; Leistungsanalyse; Leistungsfähigkeit; Schule; Schulkind; Aktivität; Leistungsvergleich; Bewegungsanalyse; Kinder- und Jugendsport; Sport; Sportwissenschaft; Analyse; Mobiles Gerät; Jugendlicher
Abstract	The on-going technical progress in pervasive computing influences our daily activities more and more. In sports, smartphone apps are used to support athletes during training - either by giving plain physiological or motivating feedback. The Mobile Motion Advisor (MMA) is such kind of system, developed for the use in school children's physical education. A school class resembles a highly inhomogeneous group regarding their physical fitness. Hence, considering absolute performance parameters might not be an appropriate way to grade the school children's efforts. With the introduction of the relative Activity Index (rAI), we propose a method that approaches fair grading based on the technologies of the MMA. The rAI is a calculated value that resembles the relative activity of an individual within a group, based on the number of steps of each individual. As we found out, rAI correlates significantly (r = 0.620, p ( 0.01) with the VO2 max which allows to deduce an estimated individual rAI estm. Comparing the estimated rAI est with the actual rAI m may enable us to grade efforts within the context of the games dynamics and the individual fitness. (Autor).
Erfasst von	Bundesinstitut für Sportwissenschaft, Bonn
Update	2017/2