smart health RheinMain University of Applied Sciences

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.

Prof. i. V. Dr. Sergio Staab

Prof. i. V. Dr. Sergio Staab

Activity Recognition Homepage
Johannes Luderschmidt

Prof. Dr. Johannes Luderschmidt

Activity Recognition Homepage
Prof. Dr-Ing. Ludger Martin

Prof. Dr-Ing. Ludger Martin

Web-based Applications Homepage
Prof. Dr-Ing. Silvia Faquiri

Prof. Dr-Ing. Silvia Faquiri

Computing Infrastructure & Intelligent Assistive Systems
Homepage
Prof. Dr. Biying Fu

Prof. Dr. Biying Fu

Computer Vision & Deep Learning
Homepage

Project Highlights

Easy Language – Browser Add-on

Easy Language – Browser Add-on

  • Prof. Dr-Ing. Silvia Faquiri
  • Since: 2025
A lightweight browser add-on that automatically translates websites into German Easy Language using large language models (LLMs). It runs fully in the background and is designed to support people with cognitive impairments in navigating complex online content.
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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 is on acceleration and heart rate sensor data and their aggregation, configuration, backup and exchange.
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Infodoq

Infodoq

  • Dr. Sergio Staab
  • Since: Apr 1, 2018
INFODOQ provides user-friendly, comprehensible and accessible online tools for dementia shared flats. It supports transparent documentation and communication between relatives, care services and volunteers, including a mobile app for documentation in everyday care situations.
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KelsterBoard

KelsterBoard

  • Prof. Dr-Ing. Ludger Martin
  • Since: Mar 1, 2023
KelsterBoard is an urban data platform developed as part of a smart city project, focusing on citizens as primary users and emphasizing usability and self-directed use.
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