license: cc-by-nc-sa-4.0
language:
- en
- tr
tags:
- eeg
- brain
- deeplearning
- artificialintelligence
- ai
- model
- emotions
- neuroscince
- neura
- neuro
bai Models
Model Details
bai Models are trained to read EEG data. The data sets on which these models are trained are kept confidential by Neurazum. It is trained with deep learning methods and can work precisely on EEG with very high accuracy rates. It can work on all kinds of EEG devices regardless of the number of electrodes (Optimisation and improvements are ongoing). It aims to end the backwardness, primitiveness and error margins in the field of neuroscience.
Model Description
- Developed by: Neurazum
- Shared by: Eyüp İpler
- Model type: EEG
- License: CC-BY-NC-SA-4.0
Uses
Our aim in these models;
- To analyse the person's emotion instantly,
- To warn dangerous patients such as epilepsy and MS early before the seizure and to take the necessary precautions,
- Early diagnosis for Alzheimer's patients and the bai model helps the person by memorising forgotten words,
- Development of mind-controlled games for players,
- Development of a voice assistant that can be used in everyday life.
Direct Use
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Downstream Use [optional]
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Out-of-Scope Use
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Bias, Risks, and Limitations
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Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
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Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
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Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
Testing Data
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Factors
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Metrics
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Results
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Summary
Model Examination [optional]
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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- Hours used: [More Information Needed]
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Technical Specifications [optional]
Model Architecture and Objective
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Compute Infrastructure
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Hardware
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Software
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Citation [optional]
BibTeX:
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APA:
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Glossary [optional]
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Model Card Authors [optional]
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Model Card Contact
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