Combining different wearable devices to assess gait speed in real-world settings

HIGHLIGHTS

• What: The authors present a comprehensive analysis of devices` performance in gait speed estimation and explore optimal device combinations for everyday use. The aim of this work is to propose a new method for estimating gait speed (GS) from a heterogeneous set of wearable devices, which can be employed one by one, collectively, or in any combination. As previously introduced, the authors aimed to build and assess a gait speed estimation algorithm capable of providing the best estimation for each possible wearable device combination. The scoring agreement, the bias, and the of determination performed Bland- of the . . .
  

   

  

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