@inproceedings{5295e4c131924c0cbc0edec1169277f7,
title = "Gestural Interactions of Embodied Educational Technology Using One-Shot Machine Learning",
abstract = "Educational research has demonstrated the importanceof embodiment in designing student learning environments,connecting bodily actions to critical concepts. Gesturalrecognition algorithms have become important in leveragingthis connection but have focused primarily on traditionallytrained machine-learning paradigms.",
author = "Junokas, {Michael J.} and Greg Kohlburn and Benjamin Lane and Sahil Kumar and Fu, {Wai Tat} and Robb Lindgren",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017 ; Conference date: 30-05-2017 Through 03-06-2017",
year = "2017",
month = jun,
day = "28",
doi = "10.1109/FG.2017.152",
language = "English (US)",
series = "Proceedings - 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017 - 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production, ASL4GUP 2017, Biometrics in the Wild, Bwild 2017, Heterogeneous Face Recognition, HFR 2017, Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation, DCER and HPE 2017 and 3rd Facial Expression Recognition and Analysis Challenge, FERA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "996",
booktitle = "Proceedings - 12th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2017 - 1st International Workshop on Adaptive Shot Learning for Gesture Understanding and Production, ASL4GUP 2017, Biometrics in the Wild, Bwild 2017, Heterogeneous Face Recognition, HFR 2017, Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation, DCER and HPE 2017 and 3rd Facial Expression Recognition and Analysis Challenge, FERA 2017",
address = "United States",
}