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Table of Contents
What is Human Pose Estimation?
How 3D Human Pose Estimation Works
3D pose estimation performance and accuracy
Real-time 3D human pose estimation
Human pose estimation use cases
AI fitness and self-coaching
Rehabilitation and physiotherapy
Augmented reality
Animation and gaming
Surveillance and human activity analysis
How to train a human pose estimation model?
How to avoid training human pose estimation from scratch?
Human Pose Estimation is a computer vision-based technology that identifies
and classifies specific points on the human body. These points represent our
limbs and joints to calculate the angle of flexion, and estimate, well, human
pose.
While it sounds awkward, knowing the right angle of a joint in a specific exercise
is the basis of work for physiotherapists, fitness trainers, and artists.
Implementing such capabilities for a machine results in surprisingly useful
applications in different fields.
In this article we’ll explore human pose estimation in depth. We’ll figure out its
principle of work and capabilities to understand suitable business cases. Also,
we’ll analyze different approaches to Human Pose Estimation as a machine
learning technology, and try to define the applications for each.