Combining Different Wearable Devices to Assess Gait Speed in Real-World Settings
Michele Zanoletti, Pasquale Bufano, Francesco Bossi, Francesco Di Rienzo, Carlotta Marinai, Gianluca Rho, Carlo Vallati, Nicola Carbonaro, Alberto Greco, Marco Laurino, Alessandro Tognetti
TL;DR
This study explores how combining different wearable devices improves gait speed estimation in real-world settings.
Contribution
The novel contribution is identifying optimal wearable device combinations for accurate gait speed estimation.
Findings
Combining smartwatches and smart shoes provides superior gait speed estimation accuracy.
Wearing all devices concurrently does not improve results due to feature redundancy.
Feature importance analysis identifies key variables for model refinement.
Abstract
Assessing mobility in daily life can provide significant insights into several clinical conditions, such as Chronic Obstructive Pulmonary Disease (COPD). In this paper, we present a comprehensive analysis of wearable devices’ performance in gait speed estimation and explore optimal device combinations for everyday use. Using data collected from smartphones, smartwatches, and smart shoes, we evaluated the individual capabilities of each device and explored their synergistic effects when combined, thereby accommodating the preferences and possibilities of individuals for wearing different types of devices. Our study involved 20 healthy subjects performing a modified Six-Minute Walking Test (6MWT) under various conditions. The results revealed only little performance differences among devices, with the combination of smartwatches and smart shoes exhibiting superior estimation accuracy.…
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Taxonomy
TopicsInfant Nutrition and Health · Infant Health and Development · Pediatric health and respiratory diseases