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Os grandes avanços tecnológicos têm permitido o desenvolvimento de novos equipamentos móveis com elevadas capacidades e que permitem uma utilização não intrusiva e ubíqua com os utilizadores. Os dispositivos wearable, têm sido apresentados por diversos fabricantes e tornam-se cada vez mais omnipresentes.
A utilização de sensores permite a monitorização de dados externos e o desenvolvimento de aplicações inteligentes que têm como objetivo facilitar a vida dos utilizadores ou fornecer apoio adicional em áreas tão diversas como a saúde, desporto, ambientes de vida assistida, etc.
No âmbito desta dissertação, desenvolveu-se uma aplicação a ser utilizada num dispositivo wearable e que pode ser vista como um personal trainer que valida um conjunto de exercícios propostos numa sessão de desporto.
A solução desenvolvida, usa os sensores inerciais de um smartwatch Android Wear, para com base num conjunto de algoritmos de reconhecimento de padrões, detetar a taxa de sucesso na execução de um treino planeado. O facto de todo o processamento ser realizado no próprio dispositivo, é um fator diferenciador para outras soluções existentes.
Technological advances have allowed the development of new mobile devices with high capacity and allow non-intrusive and ubiquitous use. Wearable devices have been introduced in the market by several manufacturers and are becoming increasingly ubiquitous. Sensors allows monitoring external data and developing intelligent applications that aim to make life easier for users and may provide additional support in areas as diverse as health, sports, ambient assisted living, etc. As part of this work, an application to be used in a wearable device and that can be seen as a personal trainer which validates a set of exercises proposed in a sport session, was developed. The developed solution uses inertial sensors of an Android Wear smartwatch, and based on a set of pattern recognition algorithms, detects the rate of success in the execution of a lanned workout. The fact that all processing can be performed on the device itself, is a differentiator factor to other existing solutions.
Technological advances have allowed the development of new mobile devices with high capacity and allow non-intrusive and ubiquitous use. Wearable devices have been introduced in the market by several manufacturers and are becoming increasingly ubiquitous. Sensors allows monitoring external data and developing intelligent applications that aim to make life easier for users and may provide additional support in areas as diverse as health, sports, ambient assisted living, etc. As part of this work, an application to be used in a wearable device and that can be seen as a personal trainer which validates a set of exercises proposed in a sport session, was developed. The developed solution uses inertial sensors of an Android Wear smartwatch, and based on a set of pattern recognition algorithms, detects the rate of success in the execution of a lanned workout. The fact that all processing can be performed on the device itself, is a differentiator factor to other existing solutions.
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Palavras-chave
Android Smartwatch Wearable Reconhecimento de Padrões Sensores Exercício Físico Pattern Recognition Sensors Physical Exercise