@inproceedings{251819c6d13948cb98dd36c2c40cb56f,
title = "Human computer interface for quadriplegic people based on face position/gesture detection",
abstract = "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.",
keywords = "Assistive technology, Computer access, Hand-free interface, Humancomputer interaction (HCI), Quadriplegic, Severe disabilities, Vision-based",
author = "Bian, {Zhen Peng} and Junhui Hou and Chau, {Lap Pui} and Nadia Magnenat-Thalmann",
year = "2014",
month = nov,
day = "3",
doi = "10.1145/2647868.2655063",
language = "English",
series = "MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia",
publisher = "Association for Computing Machinery",
pages = "1221--1224",
booktitle = "MM 2014 - Proceedings of the 2014 ACM Conference on Multimedia",
note = "2014 ACM Conference on Multimedia, MM 2014 ; Conference date: 03-11-2014 Through 07-11-2014",
}