Links zu weiteren Portalen

Seiteninterne Suche

CDH

Thesis: Nutrition/diet apps for older people

Background

Poor nutritional behaviour is considered a major risk factor for the development of various chronic diseases. Smartphone apps offer the possibility to influence nutritional behaviour positively by monitoring and providing direct feedback. Since the use of smartphones is increasing also among older people, the literature on “nutrition apps” should be reviewed systematically regarding this target group. In this first step, an overview on older citizen demands for nutrition/diet apps should be derived, considering whether apps have been effective in intervention studies. Subsequently, the technical features for an app should be developed and evaluated based on cross-plattform design methods and newest frameworks. The project involves a collaboration with the Institute of Biomedicine of Aging (IBA).

Aim

Based on a systematic literature search, relevant literature and app features will be derived and evaluated in a cross-plattform prototype.

Data

Project type Master thesis
ECTS
Language English / German
Period Winter term 2020/21
Presence time Virtual, working from remote
Useful knowledge Machine learning, Python, Flutter/Dart
Work distribution 30% literature review, 50% programming, 20% algorithms
Med. Eng. designation Thesis
StudOn link Please get in contact.
First Meeting Online introduction/Vorbesprechung of winter term 2020/21 Seminars, on 4th November 2020 at 16:15
Registration Via StudOn, obligatory after introduction

Literature

Up-to-date literature recommendations are provided.

Examination

Final presentation and final report.

Contact

Prof. Dr. Oliver Amft

  • Job title: Director
  • Address:
    Henkestr. 91, Geb. 7
    91052 Erlangen
  • Phone number: +49 9131 85-23601
  • Email: oliver.amft@fau.de