Published January 19, 2022 | Version v1
Conference paper Open

Accuracy of a multi-sensor system in stride parameters estimation: comparison of straight and curvilinear portions

Creators

  • 1. University of Sassari, Sassari, Italy; IuC-BoHNeS, Sassari, Italy;
  • 2. Insigneo Institute and Department of Mechanical Engineering, University of Sheffield, Sheffield, UK
  • 3. Politecnico di Torino, Torino, Italy.
  • 4. IuC-BoHNeS, Sassari, Italy; Politecnico di Torino, Torino, Italy.

Description

The evaluation of gait performances in free-living conditions requires the adoption of wearable devices to step out of the laboratory. With this aim, researchers are focusing their attention on the development of technologies and algorithms to estimate the relevant digital mobility outcomes with the same level of accuracy and robustness reached in standardized environments. When analyzing real world walking, it is fundamental to discriminate between straight and curvilinear portions. This because specific analysis of curvilinear walking can be informative of turning impairments in pathological populations [1]. This work deals with the evaluation of performances of a wearable multi-sensor system (INDIP) against the stereophotogrammetric (SP) system in the estimation of stride-related variables for both straight and curvilinear portions.

Notes

This work was supported by the Mobilise-D project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No. 820820. This Joint Undertaking receives support from the European Union's Horizon 2020 research and innovation program and the European Federation of Pharmaceutical Industries and Associations (EFPIA). Content in this publication reflects the authors' view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.

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Additional details

Funding

MOBILISE-D – Connecting digital mobility assessment to clinical outcomes for regulatory and clinical endorsement 820820
European Commission