Using Machine Learning to Classify EEG Data Collected with or without Haptic Feedback During a Simulated Drilling Task-Reference-Cited by-同舟云学术

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Using Machine Learning to Classify EEG Data Collected with or without Haptic Feedback During a Simulated Drilling Task

Published:2024-03-16 Issue: Volume:52 Page:1033-1034
ISSN:
Container-title:2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)
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Author:

Ramirez Michael¹,McCracken Heather²,Grant Brianna²,Yielder Paul²,Quevedo Alvaro²,Murphy Bernadette²

Affiliation:

1. Universidad Escuela Colombiana de, Ingeniería Julio Garavito,Bogota,D.C.,Colombia

2. University of Ontario, Institute of Technology,Faculty of Health Sciences,Oshawa,ON,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10536145/10536146/10536461.pdf?arnumber=10536461

Reference6 articles.

1. Virtual reality in rehabilitation and therapy;Matijevic;Acta clinica Croatica,2013

2. Using Biosignals for Objective Measurement of Presence in Virtual Reality Environments

3. A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems

4. Maximum Relevance and Minimum Redundancy Feature Selection Methods for a Marketing Machine Learning Platform

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Finding Biomarkers of Virtual Reality-Induced Avatar Embodiment Priming in EEG Signals Recorded During a Motor Imagery Brain-Computer Interface Training;2024 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI);2024-07-17

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