Multi-sensor integration and data fusion for enriching gait assessment In and Out of the laboratory
- 1. Department of Biomedical Sciences, University of Sassari, Italy. IUC-BOHNES, Italy.
- 2. Department of Electronics and Telecommunications, Politecnico di Torino, Italy
Description
This paper deals with the design of a wearable multi-sensor system (INDIP) that exploits a synergistic integration of different sensor types to provide a “best available” solution for digital gait assessment in real world scenarios.
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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