girishp92 / Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones
This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep netwo…
☆85Updated 7 years ago
Alternatives and similar repositories for Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones:
Users that are interested in Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones 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…☆95Updated 7 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆193Updated 4 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆49Updated 2 years ago
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago
- Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)☆15Updated 6 years ago
- ☆40Updated 7 years ago
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆225Updated 3 years ago
- Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…☆24Updated 6 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Updated 3 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
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆318Updated 2 years ago
- Recognizing human activities using Deep Learning☆49Updated 4 years ago
- ☆54Updated 6 years ago
- ADL and Fall Detection☆68Updated 5 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆63Updated 2 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆67Updated 6 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆28Updated 6 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆56Updated 5 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆474Updated 2 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
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆23Updated 4 years ago
- Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks☆36Updated 2 years ago
- Final Year Individual Project.☆14Updated 2 months ago
- Fall detection using sensor data with the help of 1D Convolution Neural Networks. The implementation is done using Tensorflow.☆12Updated 6 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆16Updated 4 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆160Updated last year
- This project is designed to classify human action recognition datasets with a CNN + LSTM model.☆19Updated 5 years ago