@inproceedings{8733dce47fba437cb5493c9d7f2fba2b,
title = "Interact with robot: An efficient approach based on finite state machine and mouse gesture recognition",
abstract = "Communication between human operators and robots is important. In this paper, two problems are addressed: (1) how a robot can change its behavior sequences in manipulation tasks with human intervention; (2) how a human operator can transfer information to a robot efficiently. We tackle the first problem by proposing a framework based on finite state machine to model the robot action sequences in manipulation tasks. The framework shows the way in which a robot slides its level of autonomy by considering the result of the transition action and the input of the human operator. The framework can be easily extended to include higher level of autonomy. To tackle the second problem, we proposed a method to encode human intentions into simple mouse gestures. With a discriminative classifier, the robot can recognize the mouse gesture drawn by the human operator and carry out the corresponding action. The classifier is based on PCA and has been tested on our data set collected from four volunteers with an average precision of 96.25\%.",
keywords = "PCA-based Classifier, finite state machine, human robot interaction, mouse gestures",
author = "Jiajun Li and Xu Xu and Jianguo Tao and Liang Ding and Haibo Gao and Zongquan Deng",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 9th International Conference on Human System Interactions, HSI 2016 ; Conference date: 06-07-2016 Through 08-07-2016",
year = "2016",
month = aug,
day = "2",
doi = "10.1109/HSI.2016.7529632",
language = "英语",
series = "Proceedings - 2016 9th International Conference on Human System Interactions, HSI 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "203--208",
booktitle = "Proceedings - 2016 9th International Conference on Human System Interactions, HSI 2016",
address = "美国",
}