Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
Detection of freely moving thoughts using SVM and EEG signals
Sairamya Nanjappan Jothiraj
,
Caitlin Mills
, Zachary C. Irving
, Julia W.Y. Kam
Educational Psychology
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Detection of freely moving thoughts using SVM and EEG signals'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Electroencephalography
100%
Freely Moving Thought
100%
Electroencephalogram
42%
Machine Learning
28%
Intra-subject
28%
Classification Performance
28%
Subject-specific Model
28%
Behavioral Characteristics
28%
Inter-subject
28%
Thinking Styles
14%
Machine Learning Approach
14%
Behavioral Data
14%
Beneficial Outcomes
14%
Creative Thinking
14%
Event-related Potentials
14%
Area under the Curve
14%
Behavioral Measures
14%
Positive Emotions
14%
Spectral Features
14%
Support Vector Machine
14%
Statistical Features
14%
Best Combination
14%
Time Prediction
14%
P3 Event-related Potential
14%
Creative Process
14%
Attention Task
14%
Neural Data
14%
Higher Classification
14%
Correlation Area
14%
Spectral Measure
14%
Task Learning
14%
Entropy Features
14%
Matthews Correlation Coefficient
14%
Attention Machine
14%
Neuroscience
Electroencephalogram
100%
Event-Related Potential
40%
Support Vector Machine
20%