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Capturing and Rendering Gestures with Kinect: An Innovative Approach

This project by Adan Patience, supervised by Mr. Mehrdad Ghazi-Asgar, focuses on utilizing the Kinect technology for gesture capturing and rendering. It explores the requirements for effective gesture recognition in video calls, emphasizing asynchronous communication. The design aims to robustly capture hand motion, shape, and orientation, rendering them with an avatar while not requiring gesture recognition. The project includes a comprehensive analysis, expectations regarding environmental challenges, and a review of related works in skeletal tracking technology.

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Capturing and Rendering Gestures with Kinect: An Innovative Approach

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Presentation Transcript

  1. Capturing, Encoding and Rendering Gestures using the Kinect by Adan Patience Supervisor: Mr MehrdadGhazi-Asgar

  2. Overview • Introduction • Requirements Analysis • High Level Design • Expectations • Related Work • Project Plan

  3. Introduction • SA average internet connection speed is 2.32 Mbps • Video calling requires 400 kbps • Solution, asynchronous communication by capturing gestures using the Kinect

  4. User Requirements High Level Design

  5. User requirements Expectations Expected to be robust to complex backgrounds Expected to capture the motion, shape and the orientation of user’s hands and render using an avatar Not expected to recognise any gestures

  6. User requirements Related Work ChristophBregler and Jitendra Malik, Tracking People with Twists and Exponential Maps Abhishek Kar, Skeletal Tracking using Microsoft Kinect,

  7. Project Plan

  8. Questions ?

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