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Erschienen in:
2017 | OriginalPaper | Buchkapitel
Sustainable Data Collection Framework: Real-Time, Online Data Visualization
verfasst von : Tien-Lung Sun, Gustavo Adolfo Miranda Salgado
Erschienen in: Sustainable Design and Manufacturing 2017
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Abstract
This paper presents a comprehensive data collection framework focused on retrieving data from an inertial sensor using a smartphone device. The aim of this study is to present a low-cost and sustainable data collection framework solution based on previous data framework model developed. The proposed framework will allow the users (doctors, physicians, patients, family members, etc.) to visualize online the real-time performance results, as the patience carries out its physical therapy. The data collection framework utilizes an in-house developed smartphone app and open source software for the server/client interaction. The data collection framework has been test by collecting information from different exercise machines and free movement exercises. The tests show that the real-time data collection framework proposed is reliable in capturing, recording and displaying the data obtained during a training exercise session, aiming toward the tracking people’s quality of life.