mrsan22 / Data-Mining-ProjectLinks
Recognizing human activity using multiple wearable accelerometer sensors placed at different body positions.
☆35Updated 4 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
Sorting:
- 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…☆85Updated 7 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆99Updated 8 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆104Updated 6 years ago
- ☆41Updated 8 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆196Updated 5 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆68Updated 7 years ago
- Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up an…☆106Updated 5 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆287Updated 7 years ago
- Stress classifier with AutoML☆53Updated 6 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆360Updated 4 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 7 years ago
- LSTM-CNN model for Human Activity Recognition☆24Updated 7 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆74Updated 2 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆165Updated 2 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Updated 4 years ago
- Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.☆69Updated 7 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆91Updated 5 years ago
- Code and documentation for seizure prediction from EEG data☆57Updated 8 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆47Updated 5 years ago
- Automatic channel selection for seizure detection☆12Updated 2 years ago
- ☆38Updated 8 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆92Updated 8 months ago
- Encoding human activity by considering salient sensors and time points.☆42Updated 2 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
- CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)☆80Updated 6 years ago
- Human Activity Recognition using ML on UCI HAR dataset☆16Updated 11 years ago
- Some Machine Learning techniques for Time Series classification.☆39Updated 8 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆28Updated 4 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 4 years ago
- This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.☆125Updated last year