Lumo Bodytech, a motion science company, recently announced the general availability of the Lumo Motion Science Platform — the technology behind its wearable devices. The Lumo platform combines sensor data with advanced algorithms to help better understand and optimize human movement for better health, physical performance and injury risk reduction. The Lumo Motion Science Platform has been powering all Lumo products, including Lumo Lift, a posture and activity tracker.
The enterprise grade platform is scalable to millions of users and can be deployed as a whole or in separate modules, giving third-party partners a faster and efficient way to bring applications and products to the Internet of Things (IoT) market. For example, safety suppliers could integrate Lumo sensors into various personal protective equipment, such as hard harts, goggles and lifting belts for feedback and training on lifting techniques and other movements related to proper ergonomics.
The company is also working on fall prevention and fall detection for workers.
“We strongly believe that future wearables will be completely invisible and seamlessly embedded in our everyday lives,” says Monisha Perkash, CEO and co-founder of Lumo Bodytech in Palo Alto, Calif. “From the very beginning, our passion as a company has been to give the body a voice, and in doing so, help each and every one of us unlock our full physical potential.”
The Lumo Motion Science Platform, designed by engineers from Stanford University, offers access to unique algorithm models that can track a myriad of human movements and provide a wide spectrum of biomechanical insights relevant to various industry applications, while offering actionable feedback to promote behavioural change for healthier habits. For example, algorithms powering Lumo Lift can be used to promote safer lifting of heavy objects in a warehouse environment.
The platform offers access to algorithms that interpret movement data points into feedback and analytics; the cloud that provides easy product life cycle management and predictive analytics; mobile and web applications; and the sensor technology hardware.