Human Computer Interface for Quadriplegic People Based on Face Position/gesture Detection
Zhen-Peng Bian, Junhui Hou, Lap‐Pui Chau, Nadia Magnenat‐Thalmann · 2014
This paper proposes a human computer interface using a single depth camera for quadriplegic people. The nose position is employed to control the cursor along with the commands provided by mouth's status. The detection of nose position and mouth's status is based on randomized decision tree algorithm.The experimental results show that the proposed interface is comfortable, easy to use, robust, and outperforms the existing assistive technology.