@inproceedings{7681325bd6a54bb18a028657c38a1d3f,
title = "Head-pose recognition for a game system based on nose's relative position",
abstract = "This paper proposes a head pose identification method using nose's relative position information in a face region and develops a game system based on visual head pose identification techniques to control a virtual robot walking in a virtual maze environment. Adaboost classifiers are used to detect a face and give a rough classification. A nose classifier is used to detect noses in a detected face region. The nose's relative position information is utilized to further determine a specific head pose. A method for selecting the best nose area is also proposed to solve the problem that multi-nose areas may be detected in one face region. Experiment results show that by using these techniques correct head poses can be acquired and applied in the game system.",
keywords = "Human computer interaction, head pose, nose position",
author = "Qingjie Zhao and Xiaoming Shi and Yuxia Wang",
year = "2011",
doi = "10.1007/978-3-642-21619-0_82",
language = "English",
isbn = "9783642216183",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 4",
pages = "694--701",
booktitle = "Human-Computer Interaction",
edition = "PART 4",
note = "14th International Conference on Human-Computer Interaction, HCI International 2011 ; Conference date: 09-07-2011 Through 14-07-2011",
}