Adaptive Kalman Filter Applied to Vision Based Head Gesture Tracking for Playing Video Games

Adaptive Kalman Filter Applied to Vision Based Head Gesture Tracking for Playing Video Games

This paper proposes an adaptive Kalman filter (AKF) to improve the performance of a vision-based human machine interface (HMI) applied to a video game. The HMI identifies head gestures and decodes them into corresponding commands. Face detection and feature tracking algorithms are used to detect opt...

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Bibliographic Details
Main Author: Mohammadreza Asghari Oskoei
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Robotics
Subjects:
optical flow
Kalman filter
visual human machine interface
video game
Online Access:https://www.mdpi.com/2218-6581/6/4/33

Internet

https://www.mdpi.com/2218-6581/6/4/33

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