This work presents the design of an exergaming interface and an assessment tool for the analysis of physical activities. Typically, exergaming aim to engage the user in physical or cognitive activities by qualitative goals that do not take into account the quantitative assessment of the exercise execution. In this work, authors propose an interactive interface which displays a human avatar and returns a real-time visual feedback highlighting where the user is mistaken. Moreover, the performance assessment is obtained by Dynamic Time Warping (DTW) algorithm based on quaternion-based pose distance. Differently from other approaches, a quantitative motion assessment is provided through the rotational constraint descriptors of physical exercises, chosen by specialists, allowing its implementation in eHealth context.

Serious gaming approach for physical activity monitoring: A visual feedback based on quantitative evaluation / Ciabattoni, L.; Ferracuti, F.; Lazzaro, G.; Romeo, L.; Verdini, F.. - (2016), pp. 209-213. [10.1109/ICCE-Berlin.2016.7684757]

Serious gaming approach for physical activity monitoring: A visual feedback based on quantitative evaluation

L. Ciabattoni;F. Ferracuti;L. Romeo;F. Verdini
2016-01-01

Abstract

This work presents the design of an exergaming interface and an assessment tool for the analysis of physical activities. Typically, exergaming aim to engage the user in physical or cognitive activities by qualitative goals that do not take into account the quantitative assessment of the exercise execution. In this work, authors propose an interactive interface which displays a human avatar and returns a real-time visual feedback highlighting where the user is mistaken. Moreover, the performance assessment is obtained by Dynamic Time Warping (DTW) algorithm based on quaternion-based pose distance. Differently from other approaches, a quantitative motion assessment is provided through the rotational constraint descriptors of physical exercises, chosen by specialists, allowing its implementation in eHealth context.
2016
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/282882
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