Alternatives and similar repositories for Human-Activity-Recogntion

Users that are interested in Human-Activity-Recogntion are comparing it to the libraries listed below

• MadhavShashi / Human-Activity-Recognition-Using-Smartphones-Sensor-DataSet
  Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…
  ☆81Updated 4 years ago
• takumiw / Deep-Learning-for-Human-Activity-Recognition
  Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
  ☆67Updated 2 years ago
• UdiBhaskar / Human-Activity-Recognition--Using-Deep-NN
  Human Activity Recognition Using Deep Learning
  ☆48Updated 5 years ago
• Koutoulakis / Deep-Learning-for-Human-Activity-Recognition
  ☆40Updated 7 years ago
• SamanKhamesian / Time-Series-Classification-for-Human-Activity-Recognition
  An implementation of the CNN-LSTM model for Classifying Time Series Human Activities
  ☆25Updated 4 years ago
• arturjordao / WearableSensorData
  This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…
  ☆103Updated 5 years ago
• markub3327 / HAR-Transformer
  Transformer for Human Activity Recognition
  ☆72Updated 2 years ago
• ani8897 / Human-Activity-Recognition
  Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…
  ☆96Updated 8 years ago
• 97continuum / Human-Activity-Recognition-using-CNN-and-LSTM-RNN
  Final Year Individual Project.
  ☆16Updated 7 months ago
• deadskull7 / Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variables
  The 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
• DigitalBiomarkerDiscoveryPipeline / Human-Activity-Recognition
  Multimodal human activity recognition using wrist-worn wearable sensors.
  ☆48Updated 4 years ago
• cynicphoenix / Human-Action-Recognition
  Computer Vision Project : Action Recognition on UCF101 Dataset
  ☆39Updated 5 years ago
• isukrit / encodingHumanActivity
  Encoding human activity by considering salient sensors and time points.
  ☆40Updated 2 years ago
• srvds / Human-Activity-Recognition
  predicts the human activities based on accelerometer and Gyroscope data of Smart phones
  ☆58Updated 4 years ago
• jchiang2 / Human-Activity-Recognition
  Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.
  ☆59Updated 6 years ago
• hardik04021996 / Human-Activity-Recognition-using-machine-learning
  Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…
  ☆24Updated 7 years ago
• nesl / Robust-Deep-Learning-Pipeline
  Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …
  ☆23Updated 4 years ago
• anas337 / Human-Activity-Recognition-Using-Smartphones.github.io
  ☆55Updated 6 years ago
• iantangc / SelfHAR
  Improving Human Activity Recognition through Self-training with Unlabeled Data
  ☆42Updated 4 years ago
• esansano / dl-for-har-comparison
  Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.
  ☆17Updated 2 years ago
• curiousily / TensorFlow-on-Android-for-Human-Activity-Recognition-with-LSTMs
  iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android
  ☆194Updated 4 years ago
• mittrayash / Parkinson-s-Disease-Detection-using-Gait-Analysis
  A research project that aims to detect Parkinson's disease in patients using Gait Analysis data. Subsequently, the project may make use o…
  ☆65Updated 7 years ago
• STRCWearlab / DeepConvLSTM_py3
  DeepConvLSTM implemented in python 3 and pytorch
  ☆26Updated 3 years ago
• AccSrd / multimodal-Parkinson-data-processing
  Multimodal Dataset of Freezing of Gait in Parkinson's Disease
  ☆48Updated 2 years ago
• andreasKyratzis / PAMAP2-Physical-Activity-Monitoring-Data-Analysis-and-ML
  Data Analysis and Machine Learning on Physical monitoring data
  ☆15Updated 5 years ago
• saif-mahmud / self-attention-HAR
  [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"
  ☆48Updated 4 years ago
• jeandeducla / ML-Time-Series
  Some Machine Learning techniques for Time Series classification.
  ☆39Updated 8 years ago
• dspanah / Sensor-Based-Human-Activity-Recognition-DeepConvLSTM-Pytorch
  DeepConvLSTM model for sensor-based human activity recognition in Pytorch
  ☆40Updated 6 years ago
• ni79ls / har-keras-cnn
  Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
  ☆160Updated 2 years ago
• aiff22 / HAR
  ☆36Updated 8 years ago