A single wearable sensor combined with machine learning estimates step length in older adults and patients with neurological disorders
We applied machine learning tools to estimate step length from features derived from a single, wearable, lower back sensor in older adults and people with altered gait patterns. Our results highlight the advantages of using machine learning for step length estimation and other related tasks.