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Our non-invasive elderly care system predicts and helps prevent falls. The system monitors changes in posture, using 3D imaging, to predict falls and generate real-time feedback to the user aimed at preventing the fall or reducing fall-related injury. The new human-machine interface (HMI) is aimed at home care and independent living for the aging population. The core technology combines state-of-the-art 3D computational imaging and other sensors with artificial intelligence and embedded computing. It will provide real-time sensory feedback such as haptic and audio in real-time to predict and help prevent falls in real-time.
A Complete, Integrated Experience: 4 Major Modules
Our system leverages four major modules in networking, data analytics, and a range of sensors—from breathing rate to gait analysis—to offer a comprehensive monitoring solution. This holistic approach allows for a more accurate and personalized care experience.
The observation system utilizes cameras and Light Detection and Ranging (LiDAR) to capture real-time visual, spatial, and movement data, creating a detailed understanding of the user’s environment and mobility.
The iMagine algorithm processes and interprets data from the observation system to identify movement patterns and potential fall risks.
The iMagine Cloud Computing encompasses cloud storage and a data analytic unit, allowing for efficient processing and insightful analysis of large volumes of health and movement data.
The feedback system integrates audio alerts, haptic wearables, and robotic wearables to provide immediate and interactive feedback to the user and potential healthcare professionals, including posture corrections and fall risk alerts.
In the event of an identified risk, our system not only warns the user via audio wearables; it also alerts designated healthcare professionals. This immediate notification ensures that users receive prompt attention, significantly reducing the risk of severe injury from falls.
By tracking a wide range of health patterns, including breathing rate, heart rate, and even sleep patterns, we can offer insights into the overall health and well-being of users. This data allows for more tailored care plans and preventive strategies.
The iMagine system is equipped with machine learning algorithms that adapt to the daily patterns and posture changes of each user. This adaptability means that our system continually evolves and becomes more attuned to each individual’s specific needs and habits, ensuring ever-improving care and support.
Does this sound like a tool for you, someone you know, or are you looking to get involved?
Where innovation meets geriatric care. Our pioneering system marries advanced 3-D computational imaging with AI, setting a new standard in elderly care technology.
