Gait is a vital indicator of overall health. The Aspire Motion platform captures walking motion from a single wearable sensor worn on the lower back, near the body’s center of mass.  

Aspire Motion transforms your walk into comprehensive gait metrics using patented and peer-reviewed analysis methods. These are enhanced by machine learning powered by recurrent neural networks. The metrics include traditional measures such as cadence, step time, asymmetry, and variability, along with deeper insights into stability, coordination, and efficiency. 
 

Aspire Motion’s robust algorithms can analyze various gait patterns by leveraging force and energy data. This enables the detection of conditions such as shuffling steps – linked to an increased risk of stumbling – or walking with a wide base of support, often indicating balance deficits and impaired motor control. These analyses are especially valuable for assessing irregular gait patterns commonly seen in individuals with Parkinson’s Disease, Alzheimer's, or recovering from a stroke.