junmoan / activity-recognition-from-single-chest-mounted-accelerometer
Activity Recognition from Single Chest-Mounted Accelerometer Dataset using a Variety of Classifiers
☆4Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for activity-recognition-from-single-chest-mounted-accelerometer
- Regression Examples with Real-World Datasets☆4Updated 4 years ago
- Credit Card Fraud Detection with a variety of classifiers☆4Updated 4 years ago
- Parkinson’s Disease Detection using XGBoost classifier☆3Updated 4 years ago
- House Price Prediction using Recursive Feature Elimination (RFE) and Ordinary Least Squares (OLS) Linear Regression☆5Updated 4 years ago
- Speech Emotion Recognizer using Grid Search and Multi-Layer Perceptron (MLP)☆5Updated 4 years ago
- EEG Feeling Emotions Classification using LSTM☆12Updated 4 years ago
- EMG Hand Gestures Classification using a variety of classifiers☆7Updated 4 years ago
- Hyperparameter Optimization using Grid Search, Randomized Search, and Bayesian Optimization☆5Updated 4 years ago
- Heart Disease Prediction using Decision Tree classifier, Grid Search, and Multi-Layer Perceptron (MLP)☆12Updated 4 years ago
- Outlier Detection using z-score, MAD, MSE, IQR, Isolation Forest, and DBSCAN☆12Updated 4 years ago
- Confused EEG Classification using Random Forest, Support Vector Machine, Decision Tree, XGBoost, and CatBoost☆10Updated 4 years ago
- Developed an best EEG Channel Selection Model Using Technique like MIMR☆10Updated 2 years ago
- 基于一个公开数据集和一个BCI竞赛数据集,提供一个SVM-CSP运动想象二分类demo☆11Updated 3 years ago
- ☆13Updated 5 years ago
- Currently working on analysis of EEG (Electroencephalography) signals on the emotion recognition and sleep stage classification problems.…☆14Updated 7 years ago
- FBCNet: An Efficient Multi-view Convolutional Neural Network for Brain-Computer Interface☆120Updated 11 months ago
- This is for my Biomedical Computation class in campus. The problem is for classifying EEG Dataset from Bonn University that contains seiz…☆11Updated 7 years ago
- This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual Inter…☆95Updated last year
- 数据表型特征的挖掘☆15Updated 2 years ago
- This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machi…☆157Updated 5 years ago
- EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow☆204Updated 5 months ago
- Application prepares data to learning process. Including preprocessing, cleaning, reformating, feature extraction using PyEEG library and…☆27Updated 3 years ago
- A CNN + LSTM architecture to predict seizure from EEG data☆43Updated last year
- Affective EEG-Based Person Identification Using the Deep Learning Approach (IEEE Transactions on Cognitive and Developmental Systems)☆16Updated 5 years ago
- EEG Emotion classification using the DEAP pre-processed data☆133Updated 6 years ago
- EEG data processing and it's convolution using AutoEncoder + CNN + RNN☆84Updated 6 years ago
- ☆65Updated 5 years ago
- Source Code for "Adaptive Transfer Learning with Deep CNN for EEG Motor Imagery Classification".☆84Updated last year
- ☆20Updated 4 years ago
- A MATLAB toolbox for classification of motor imagery tasks in EEG-based BCI system with CSP, FB-CSP and BSSFO☆7Updated 2 years ago