An AI-Driven Camera-Based Platform for Patient Ambulation Assessment

We propose an ambulation assessment platform in healthcare that employs a deep neural network for body/head detection and further recognizes the position, postures, and motion of a person in a video stream. To achieve this, we: (i) find the head's 3D coordinates, (ii) measure distance from the camera, (iii) track body movement, and (iv) detect postures. Based on testing using human volunteers, our method has achieved promising results with accuracy up to 90% for body and head detection, 92% for movement distance measurement, and 99% for posture classification.