Imagine a smart fitness tracker that doesn’t just count steps, but can estimate exactly how much strain you’re putting on your shoulders when you propel a wheelchair. This research uses wearable sensors and machine learning to turn raw motion data into an estimate of shoulder load, so coaches and clinicians can see when an athlete or user is overloading their joints—without expensive lab equipment.
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Executive brief, technical architecture, and market positioning for this use case.