InjuryDetector grew out of years of medical research — and the conviction that injury prevention must not remain a privilege of professional sports.
Founder. Drives product vision, medical research collaborations and the build-up of the data platform — from sensors and computer vision to the analytics backend.
Behind InjuryDetector stands a network of sports scientists, physicians and developers from our sister projects — from basketball analytics to patient monitoring. See the project ecosystem →
After years of medical research we started a study with a local ice hockey team to examine concussions via MRI scans. The need to measure the impacts that cause concussions led us to the idea of InjuryDetector.
Together with leading scientists in movement analysis we identified measurable patterns: increased swaying and a wider stance indicate the severity of a concussion. From this we built a data platform that correlates sensor data with these patterns — detecting and predicting injuries.
Today, technology from three real projects flows into InjuryDetector: AI-powered basketball analytics (Hoop Stats Pro), smartphone jump analysis (JumpHight Pro) and offline-capable patient monitoring with smartwatches and WiFi sensing. Our vision: a solution so affordable and easy to use that any athlete can use it.
Whether club, science, press or investment — we look forward to hearing from you.