Methods and tools for remote frailty and gait analysis
Using a motion capture system with a camera and computer arrangement, performing gait analysis of a person using machine learning (artificial intelligence) to automatically diagnose frailty. Video is taken of patients and used as input and a human pose estimation software retrieves coordinates of bo...
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| creator | Ben McCarthy Ioannis Gkouzionis Stephen Boyd Devaki Bhatta |
| description | Using a motion capture system with a camera and computer arrangement, performing gait analysis of a person using machine learning (artificial intelligence) to automatically diagnose frailty. Video is taken of patients and used as input and a human pose estimation software retrieves coordinates of body parts which are then transformed into signals and movement histograms to be used as feature descriptors. The camera and software work in a high frames per second rate and thus lead to greater accuracy. No marker-based (i.e. wearable markers/devices) motion capture is needed, meaning the method of diagnosing frailty is less invasive. |
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| subjects | CALCULATING COMPUTING COUNTING DIAGNOSIS HUMAN NECESSITIES HYGIENE IDENTIFICATION IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
| title | Methods and tools for remote frailty and gait analysis |
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