In IoT domain, communities of domain experts, having different skills in specific areas of endeavor, need an effective and easy-to-use strategy for managing physical devices and their data streams. Specifically, in this paper we are interested in discussing a sociotechnical study aimed at designing an IoT ecosystem to be used by non-professional sport teams. Nowadays, coaches and trainers want to take advantage from the plethora of sensors and applications that can be used for monitoring the quality of their athletes’ activities and behaviors, but they need an easy to use environment to perform proper policies, and the visualization and analysis of relevant events. Starting from a definition of End-User Development (EUD) designed around the pervasive requirements of IoT applications, we describe a system able to provide coaches and trainers with a tool for monitoring, studying the flow of events to detect significant situations, and triggering proper actions through the use of filtering and temporal operators.

SmartFit: Lifelogging for Teams of non-Professional Athletes / S. Valtolina, B.R. Barricelli (CEUR WORKSHOP PROCEEDINGS). - In: Cultures of Participation in the Digital Age / [a cura di] B.R. Barricelli, G. Fischer, D. Fogli, A. Mørch, A. Piccinno, S. Valtolina. - [s.l] : CEUR-WS, 2016. - pp. 76-80 (( Intervento presentato al 9. convegno CoPDA tenutosi a Gothenburg nel 2016.

SmartFit: Lifelogging for Teams of non-Professional Athletes

S. Valtolina;B.R. Barricelli
2016

Abstract

In IoT domain, communities of domain experts, having different skills in specific areas of endeavor, need an effective and easy-to-use strategy for managing physical devices and their data streams. Specifically, in this paper we are interested in discussing a sociotechnical study aimed at designing an IoT ecosystem to be used by non-professional sport teams. Nowadays, coaches and trainers want to take advantage from the plethora of sensors and applications that can be used for monitoring the quality of their athletes’ activities and behaviors, but they need an easy to use environment to perform proper policies, and the visualization and analysis of relevant events. Starting from a definition of End-User Development (EUD) designed around the pervasive requirements of IoT applications, we describe a system able to provide coaches and trainers with a tool for monitoring, studying the flow of events to detect significant situations, and triggering proper actions through the use of filtering and temporal operators.
Internet of Things; EUD; Rule Editor
Settore INF/01 - Informatica
2016
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/467148
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