smart health RheinMain University of Applied Sciences

Welcome to the Working Group Smart Health

The Smart Health Working Group specializes in human motion analysis and health data documentation utilizing advanced machine learning techniques to enhance both fields. Our interdisciplinary team aims to advance healthcare through innovative technologies. We strive to transform health data into actionable insights for smarter, personalized healthcare solutions.

Project Highlights

Smart-Health-WatchOS

Smart Health - WatchOS

  • Dr. Sergio Staab
  • Since: Mar 17, 2022
As part of this project, an application for tracking interaction and health data was realized based on the sensor technology of the Apple Watch SE. The focus of this work is on the smartwatch's acceleration and heart rate sensor. For this purpose, the possibilities of accessing sensor data as well as its aggregation, configuration, backup and exchange are analyzed and its implementation is explained.
Smart-Health-WatchOS

Infodoq

  • Dr. Sergio Staab
  • Since: Apr 1, 2018
The aim of INFODOQ is to provide user-friendly, comprehensible and barrier-free access for residents of all ages. In addition, the online application is being fundamentally dynamized in order to be available to as many residential care communities as possible at a later date.
Smart-Health-WatchOS

KelsterBoard

  • Prof. Dr-Ing. Ludger Martin
  • Since: Mar 1, 2023
KelsterBoard is an urban data platform designed as part of a smart city project with the aim of seeing citizens as the primary target group.