mrsan22 / Data-Mining-Project
Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.
☆35Updated 3 years ago
Alternatives and similar repositories for Data-Mining-Project:
Users that are interested in Data-Mining-Project are comparing it to the libraries listed below
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆96Updated 7 years ago
- ☆40Updated 7 years ago
- Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…☆24Updated 7 years ago
- deadskull7 / Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variablesThe VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was ach…☆84Updated 6 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆100Updated 5 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 3 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆67Updated 7 years ago
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆23Updated 4 years ago
- The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous …☆17Updated 4 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- CNNs and Stacked denoising autoencoders for human activity recognition using Keras☆22Updated 6 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆46Updated 4 years ago
- Human heart arrhythmia classification based on the MIT-BIH ECG data set with random Fourier feature GLM and kernel parameter estimation.☆35Updated 6 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…☆29Updated 7 years ago
- Code and documentation for seizure prediction from EEG data☆56Updated 7 years ago
- Human Activity Recognition using ML on UCI HAR dataset☆15Updated 10 years ago
- A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use o…☆60Updated 7 years ago
- Full HRV analysis of Arduino pulse sensor, using Python signal processing and time series techniques. Chaotic, Fourier, Wavelet, Regressi…☆63Updated 7 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Updated 4 years ago
- girishp92 / Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-SmartphonesThis was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learnin…☆85Updated 7 years ago
- ☆22Updated 7 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆28Updated 6 years ago
- This project aims to detect stress state based on Electrocardiogram signals (WESAD Dataset) analysis with a deep learning model.☆48Updated 2 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆75Updated 4 years ago
- Stress classifier with AutoML☆52Updated 5 years ago
- Emotional Classification from EEG data using Recurrent Neural Network and it's variants☆15Updated 8 years ago
- Deep Learning Algorithm Classifies Heartbeat Events Based on Electrocardiogram Signals☆21Updated 4 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆63Updated 2 years ago
- Work in progress about activity recognition/prediction using wearable sensors information☆16Updated 4 years ago