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Simon Uhrmann, M.Sc.

Centre for Applied Research

Applied Computer Science & Bionics - Technology Campus Freyung

Academic Staff

TCF

08551/91764-38

Sortierung:
Contribution
  • J. Bauer
  • R. Wichert
  • C. Konrad
  • M. Hechtel
  • S. Dengler
  • Simon Uhrmann
  • Mouzhi Ge
  • P. Poller
  • D. Kahl
  • B. Ristok
  • J. Franke

ForeSight – User-Centered and Personalized Privacy and Security Approach for Smart Living.

In: Distributed, Ambient and Pervasive Interactions. Smart Living, Learning, Well-being and Health, Art and Creativity. (Lecture Notes in Computer Science) vol. 13326 pg. 18-36

  • Eds.:
  • N. Streitz
  • S. Konomi

Springer International Publishing Cham

  • (2022)

DOI: 10.1007/978-3-031-05431-0_2

Contribution
  • Stefan Kunze
  • Simon Uhrmann
  • Alexander Weinberger

Secure and Modular Sensor Network for an Ambient Assisted Living Field Study.

In: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). pg. 67-74

IEEE

  • (2023)

DOI: 10.1109/CBMS58004.2023.00194

show abstract

For the field study of an ambient assisted living research project a secure and modular sensor network is required. The design considerations, requirements and implementation of this sensor network are presented in the paper. The system collects data from various health and smart home sensors installed in 68 test households. The data is transmitted to the research institute and stored in a central database. A special focus hereby is finding the balance between the demand of the research project to gather as much data as possible and strict privacy demands. The paper focuses on the technical design and implementation of the sensor network. Besides the technical implementation, a short description and evaluation of the field study with 76 participants is presented. The analysis and interpretation of the collected data is not in the scope of this work.
Lecture
  • Simon Uhrmann
  • Stefan Kunze
  • Alexander Weinberger

Secure and Modular Sensor Network for an Ambient Assisted Living Field Study.

In: IEEE 36th International Symposium on Computer Based Medical Systems (CBMS) 2023

Institute of Electrical and Electronics Engineers Inc. L'Aquila, Italy

  • 22.-24.06.2023 (2023)