Wireless Sensors Networks (WSN) have widely expanded during the last decade within a huge range of applications, among which Sport Applications. This dissertation focuses on a WSN employed as a Virtual Trainer in a Bench Press exercise. The work has been divided into two main parts: in the first section, a network protocol has been implemented, in order to allow many similar WSNs to simultaneously transmit at the lowest transmission Power Level possible without interfering with each others. In the second section, the application algorithm is presented, which consists of acquisition, processing and analysis of the data coming from a 3-axis accelerometer. The user’s Training Profile is estimated with a known “force-velocity” model and used to evaluate the user’s performance. Both building blocks are eventually tested and experimentally evaluated.
Negli ultimi anni, le reti di sensori (Wireless Sensor Networks) hanno trovato applicazione in un ampio numero di settori, tra cui quello sportivo. Il lavoro proposto presenta una rete di sensori utilizzata come Virtual Trainer in un esercizio di sollevamento del bilanciere su panca piana. La Tesi é divisa in due blocchi: nella prima, viene descritto un protocollo di rete che mira a consentire la coesistenza di un gran numero di reti di sensori che trasmettono contemporaneamente minimizzando allo stesso tempo la potenza in trasmissione. Nella seconda parte, invece, viene descritto l’algoritmo applicativo, il cui compito é quello di acquisire, processare e analizzare i dati provenienti da un accelerometro a tre assi. Il profilo d’allenamento (Training Profile) dell’atleta é stimato mediante un noto modello “forza-velocitá” ed é impiegato per valutarne le performance. Infine, alcuni test sono stati effettuati su entrambe le parti presentate al fine di misurarne l’efficienza.
Analysis and implementation of a virtual trainer for the bench press practice built on a wireless sensor network
SCIUTO, ALESSANDRO
2010/2011
Abstract
Wireless Sensors Networks (WSN) have widely expanded during the last decade within a huge range of applications, among which Sport Applications. This dissertation focuses on a WSN employed as a Virtual Trainer in a Bench Press exercise. The work has been divided into two main parts: in the first section, a network protocol has been implemented, in order to allow many similar WSNs to simultaneously transmit at the lowest transmission Power Level possible without interfering with each others. In the second section, the application algorithm is presented, which consists of acquisition, processing and analysis of the data coming from a 3-axis accelerometer. The user’s Training Profile is estimated with a known “force-velocity” model and used to evaluate the user’s performance. Both building blocks are eventually tested and experimentally evaluated.File | Dimensione | Formato | |
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2012_04_Sciuto.pdf
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Descrizione: Testo della Tesi
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https://hdl.handle.net/10589/46281