Fachbereich
DESIGN INFORMATIK MEDIEN
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Entwicklung einer Schnittstelle zur Datenextration von Smartwatch-Sensoren basierend auf WearOS
In nursing facilities, staff often experience overwork, increasing the likelihood of errors. This project aims to alleviate the burden on nursing personnel by monitoring patients and care recipients through smartwatches. These smartwatches collect vital, movement, and audio data and transmit it to a central server. An ML model then classifies the raw data, which can be used to streamline processes such as medication administration and exercise routines, and detect emergencies early.
This project focuses specifically on improving the data collection aspect of this system. This is achieved by adapting an existing data collection app to run on the Google Pixel Watch 2 and enhancing it. The enhancements include integrating new sensors and improving the app's usability for both patients and caregivers.
(Manuel Otto Santovenia / Dr. Sergio Staab & Farnod Bahrololloomi, SoSe 2024, bestes Poster)