# How to classify motor imagery from EEG data? **URL:** \ **Category:** General Discussion\ **Tags:** machine-learning, motor-imagery, research, eeg\ **Created:** [August 8, 2017, 7:54am UTC](https://neurobb.com/t/how-to-classify-motor-imagery-from-eeg-data/555 "2017-08-08T07:54:14Z")\ **Posts on this page:** 2\ **Page:** 1
**Author:** ![brylie](https://neurobb.com/user_avatar/neurobb.com/brylie/32/118_2.png) [@brylie](https://neurobb.com/u/brylie)\ **Post date:** [August 8, 2017, 7:54am UTC](https://neurobb.com/t/how-to-classify-motor-imagery-from-eeg-data/555/1 "2017-08-08T07:54:14Z")
Based on a recent [GitHub issue](https://github.com/pbashivan/EEGLearn/issues/17), this post is intended to share knowledge/research about **classifying motor imagery from EEG data**. Motor imagery is useful for BCI applications, diagnosis, etc… - What are some techniques for using EEG to detect/classify motor imagery? - What are some research studies relating to using EEG to detect/classify motor imagery? - What studies are related to using motor imagery for brain-computer interface design? - What are some ethical considerations related to the above research? ---
**Author:** ![brylie](https://neurobb.com/user_avatar/neurobb.com/brylie/32/118_2.png) [@brylie](https://neurobb.com/u/brylie)\ **Post date:** [August 8, 2017, 10:34am UTC](https://neurobb.com/t/how-to-classify-motor-imagery-from-eeg-data/555/2 "2017-08-08T10:34:36Z")
There are many studies and approaches related to motor imagery BCI technology, including: # Research > **[The Study of Object-Oriented Motor Imagery Based on EEG Suppression](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0144256)** > > Motor imagery is a conventional method for brain computer interface and motor learning. To avoid the great individual difference of the motor imagery ability, object-oriented motor imagery was applied, and the effects were studied. Kinesthetic motor... > **[Comparison of EEG-Features and Classification Methods for Motor Imagery in...](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0080479)** > > Current research aims at identifying voluntary brain activation in patients who are behaviorally diagnosed as being unconscious, but are able to perform commands by modulating their brain activity patterns. This involves machine learning techniques... > **[Evaluation of EEG Oscillatory Patterns and Cognitive Process during Simple...](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0114853)** > > Motor imagery (MI), sharing similar neural representations to motor execution, is regarded as a window to investigate the cognitive motor processes. However, in comparison to simple limb motor imagery, significantly less work has been reported on... > **[Translation of EEG Spatial Filters from Resting to Motor Imagery Using...](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0037665)** > > Electroencephalogram (EEG)-based brain-computer interfaces (BCIs) often use spatial filters to improve signal-to-noise ratio of task-related EEG activities. To obtain robust spatial filters, large amounts of labeled data, which are often expensive... > **[Classification of Four-Class Motor Imagery Employing Single-Channel...](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0098019)** > > With advances in brain-computer interface (BCI) research, a portable few- or single-channel BCI system has become necessary. Most recent BCI studies have demonstrated that the common spatial pattern (CSP) algorithm is a powerful tool in extracting... # Code example(s) [http://martinos.org/mne/stable/auto\_examples/decoding/plot\_decoding\_csp\_eeg.html](http://martinos.org/mne/stable/auto_examples/decoding/plot_decoding_csp_eeg.html) # Related research > **[Improving the Performance of an EEG-Based Motor Imagery Brain Computer...](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0121262)** > > For individuals with high degrees of motor disability or locked-in syndrome, it is impractical or impossible to use mechanical switches to interact with electronic devices. Brain computer interfaces (BCIs) can use motor imagery to detect interaction... > **[The Importance of Visual Feedback Design in BCIs; from Embodiment to Motor...](https://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0161945)** > > Brain computer interfaces (BCIs) have been developed and implemented in many areas as a new communication channel between the human brain and external devices. Despite their rapid growth and broad popularity, the inaccurate performance and cost of...