EXG wearable human-machine interface for natural multimodal interaction in VR environment-Reference-Cited by-同舟云学术

EXG wearable human-machine interface for natural multimodal interaction in VR environment

Published:2018-11-28 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology
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Author:

Wang Ker-Jiun¹,Liu Quanbo¹,Vhasure Soumya¹,Liu Quanfeng²,Zheng Caroline Yan³,Thakur Prakash⁴

Affiliation:

1. University of Pittsburgh

2. Nissan Motor Corporation, Kanagawa, Japan

3. Royal College of Art, London, United Kingdom

4. University of Pittsburgh Medical Center

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3281505.3281577

Reference4 articles.

1. C. Bishop. 2006. Pattern Recognition and Machine Learning (1st ed.). New York New York: Springer. C. Bishop. 2006. Pattern Recognition and Machine Learning (1st ed.). New York New York: Springer.

2. P. Comon and C. Jutten. 2010. Handbook of Blind Source Separation: Independent component analysis and applications: Academic press. P. Comon and C. Jutten. 2010. Handbook of Blind Source Separation: Independent component analysis and applications: Academic press.

3. C.-W. Hsu and C.-J. Lin. 2002. A comparison of methods for multiclass support vector machines IEEE transactions on Neural Networks vol. 13 pp. 415--425. 10.1109/72.991427 C.-W. Hsu and C.-J. Lin. 2002. A comparison of methods for multiclass support vector machines IEEE transactions on Neural Networks vol. 13 pp. 415--425. 10.1109/72.991427

4. Classification of EEG Signals using adaptive weighted distance nearest neighbor algorithm

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