curiousily / TensorFlow-on-Android-for-Human-Activity-Recognition-with-LSTMsLinks
iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android
☆194Updated 4 years ago
Alternatives and similar repositories for TensorFlow-on-Android-for-Human-Activity-Recognition-with-LSTMs
Users that are interested in TensorFlow-on-Android-for-Human-Activity-Recognition-with-LSTMs are comparing it to the libraries listed below
Sorting:
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆481Updated 2 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆97Updated 8 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
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆68Updated 7 years ago
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆229Updated 3 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…☆84Updated 7 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆281Updated 7 years ago
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆51Updated 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
- ☆40Updated 7 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆160Updated 2 years ago
- Convolutional and LSTM networks to classify human activity☆460Updated 6 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 7 years ago
- 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
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Updated 4 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆67Updated 2 years ago
- Recognizing human activities using Deep Learning☆51Updated 4 years ago
- Personalized machine learning on the smartphone☆59Updated 2 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆347Updated 3 years ago
- Human Activity Recognition Using Accelerometer Data and CNN☆23Updated 5 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 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
- Deepsense: a unified deep learning framework for time-series mobile sensing data processing.☆198Updated 5 years ago
- ☆36Updated 8 years ago
- ☆55Updated 6 years ago
- Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)☆180Updated 8 years ago
- To classify video into various classes using keras library with tensorflow as back-end.☆279Updated 4 years ago
- Deep convolutional neural network for human activity recognition☆22Updated 7 years ago
- Keras implementation of video classifier☆111Updated 6 years ago