Human Pose Detection

Introduction

Human body detection encompasses a range of technologies for detecting the presence of a human body in an area of space. Air conditioners that come with human detecting sensors and can detect people’s location to optimize comfort and energy-saving are one of the most common examples of this technology.

What this extension focuses on is Pose and Hand Pose detection. These algorithms help identify where the body joints are positioned. Let’s dive right in!

Pose Detection

Pose Detection is a real-time pose detection technique with which you can detect human beings’ poses in Images. It allows you to estimate human pose by detecting body parts such as elbows, hips, wrists, knees, ankles, and form a skeleton structure of your pose by joining these points.

Pictoblox makes use of the PoseNet model for Pose Detection.

PoseNet gives us a total of 17 key points that we can use, right from our eyes to ears to knees and ankles. If the Image we give to PoseNet is not clear the PoseNet displays a confidence score of how much it is confident in detecting a particular pose as well.

Applications of PoseNet in the Real-world

1. Used in Snapchat filters, that can see the tongue, aspects, glimpse, dummy faces.
2. Fitness apps like a cult which uses to detect your exercise poses.
   
3. Instagram Reels uses posture detection to provide you with different features to apply to your face and surrounding.
4. Virtual Games to analyze shots of players.