Can we detect a fall before it happens? Researchers at Koblenz University of Applied Sciences are working on exactly that: with AI, sensor-based gait analysis, and controlled tripping experiments in their SmartGAITLab.
In this video report, four scientists give insight into how gait anomalies can be detected early to help prevent injuries, hospitalizations, and costly rehabilitation. Their research could benefit not just elderly individuals, but also workers in physically demanding jobs and athletes.
You’ll learn:
– how real-time data from tripping simulations is used to train AI models
– how VR and mechanical treadmills help train fall response
– how simple smartphones could become gait analysis tools of the future
A look into how science turns falls into knowledge and prevention into the standard.
00:00 Intro: Can stumbling prevent future falls?
00:40 Gait analysis as prevention
01:35 The tripping course & biomechanics
02:31 Workplace applications with VR & treadmill
03:14 AI-based gait analysis via smartphone
04:01 A vision for prevention
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