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A Novel 3D Sensor based Gesture Controlling System for Video Games
This project will develop a novel sensor based gesture controlling system aiming at significantly improving
game player’s satisfaction via realistic playing engagement/experience. With such interface technology, the
player can control the game directly via his/her natural gestures and body movements which are translated into
game interface parameters in real time. The objectives of this project include the followings. 1) Help the partner
convert an existing proof-of-concept sensor-based Dart game (developed in a previous MITACS project) into a
full featured prototype which includes enhancing the system’s performance, in particular with respect to
robustness and accuracy; and conducting a user validation. 2) Evaluate and compare various recently released
hardware sensor systems. 3) Develop advanced predication functions for full body gesture recognition and
tracking. 4) Adopt machine learning technology for model construction. 5) Apply the above results to build new
gesture controlling modules for other games. This MITACS project will bring substantial R&D results to the
partners, and as well…
Faculty Supervisor:
Qigang Gao
Student:
Partner:
Deep Vision Inc;IGT
Discipline:
Computer science
Sector:
Professional, scientific and technical services
University:
Dalhousie University
Program:
Accelerate
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