@inproceedings{bd61fc9778174472a9deb7bf13e64637,
title = "Coherence in One-Shot Gesture Recognition for Human-Robot Interaction",
abstract = "An experiment was conducted where a robotic platform performs artificially generated gestures and both trained classifiers and human participants recognize. Classification accuracy is evaluated through a new metric of coherence in gesture recognition between humans and robots. Experimental results showed an average recognition performance of 89.2\% for the trained classifiers and 92.5\% for the participants. Coherence in one-shot gesture recognition was determined to be gamma = 93.8\%. This new metric provides a quantifier for validating how realistic the robotic generated gestures are.",
keywords = "gesture recognition, one-shot learning, robotics",
author = "Cabrera, \{Maria E.\} and Voyles, \{Richard M.\} and Wachs, \{Juan P.\}",
note = "Publisher Copyright: {\textcopyright} 2018 Authors.; 13th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2018 ; Conference date: 05-03-2018 Through 08-03-2018",
year = "2018",
month = mar,
day = "1",
doi = "10.1145/3173386.3176977",
language = "English",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "75--76",
booktitle = "HRI 2018 - Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction",
address = "United States",
}