1. Proceedings
  2. I3M
  3. 2021
  4. IWISH
  5. 10.46354/i3m.2021.iwish.011

Postural Evaluation and Symptom Acquisition Based on IoT-Driven Multi-Sensor-Fusion

  •  Volkhard Klinger 
  • Department of Embedded Systems, University of Applied Science Hannover (FHDW), D-30173 Hannover, LS, Germany
Cite as
Klinger V. (2021). Postural Evaluation and Symptom Acquisition Based on IoT-Driven Multi-Sensor-Fusion. Proceedings of the 10th International Workshop on Innovative Simulation for Healthcare (IWISH 2021), pp. 68-75. DOI: https://doi.org/10.46354/i3m.2021.iwish.011

Abstract

The Internet of Things (IoT) is enabling more and more new applications, especially in the field of biomedical systems. Such IoT-systems can not only use an existing infrastructure, but also build an individual network for data exchange. By linking several distributed sensors, complex interpretation of data and identification of scenarios can be realized based on sensor-fusion. As a result, new correlations can be captured and interpreted. Driven by the increase in pandemic-related work from home, this paper describes an IoT-based and sensor-fusion-enhanced posture monitoring and evaluation. Based on specific sensors, microscopic events are identified that can be placed in a macroscopic context. Using humanoid models, postures and corresponding sensor positions are evaluated and corresponding scenarios are described. The selection of different sensor types can be realized in an application-specific manner using the flexible IoT-platform, representing a toolbox.

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