In this paper we introduce M-AGEW (Magic AuGmentEd Workout), an Augmented Reality (AR) application that assists users during outdoor, high-dynamic workouts such as jogging and calisthenics. It is a client-server-based system with a proprietary data structure (WKAN) that dynamically defines sequences of workouts as finite state machines. M-AGEW adapts workout intensity dynamically based on real-time sensor data and overlays contextual AR feedback and guidance, including biometric readings and a virtual coaching avatar. The technology was created through a user-centric design process, supported by an initial user study and industrial partnership. We validate M-AGEW through a technology acceptance evaluation with professional athletes, reporting promising results in usability, enjoyment, and perceived usefulness. Our findings suggest that AR headsets can effectively enhance and supplement outdoor physical activity, offering a motivating alternative to standard fitness monitoring.

An augmented outdoor workout system for jogging and calisthenics support

Stacchio, Lorenzo;
2025-01-01

Abstract

In this paper we introduce M-AGEW (Magic AuGmentEd Workout), an Augmented Reality (AR) application that assists users during outdoor, high-dynamic workouts such as jogging and calisthenics. It is a client-server-based system with a proprietary data structure (WKAN) that dynamically defines sequences of workouts as finite state machines. M-AGEW adapts workout intensity dynamically based on real-time sensor data and overlays contextual AR feedback and guidance, including biometric readings and a virtual coaching avatar. The technology was created through a user-centric design process, supported by an initial user study and industrial partnership. We validate M-AGEW through a technology acceptance evaluation with professional athletes, reporting promising results in usability, enjoyment, and perceived usefulness. Our findings suggest that AR headsets can effectively enhance and supplement outdoor physical activity, offering a motivating alternative to standard fitness monitoring.
2025
FRONTIERS
Internazionale
https://www.frontiersin.org/journals/virtual-reality/articles/10.3389/frvir.2025.1613717/full
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11393/362090
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