guillaume-chevalier / HAR-stacked-residual-bidir-LSTMs
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
☆318Updated last year
Related projects: ⓘ
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆269Updated 6 years ago
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆464Updated last year
- Convolutional and LSTM networks to classify human activity☆455Updated 5 years ago
- ☆42Updated 7 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆195Updated 3 years ago
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆224Updated 2 years ago
- 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
- Temporal Segments LSTM and Temporal-Inception for Activity Recognition☆439Updated 4 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆47Updated 2 years ago
- Deep convolutional neural network for human activity recognition☆21Updated 6 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆27Updated 6 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 6 years ago
- Deepsense: a unified deep learning framework for time-series mobile sensing data processing.☆196Updated 4 years ago
- MATLAB Human Activity Recognition Toolbox☆56Updated 6 years ago
- Human activity recognition using hidden Markov model.☆10Updated 6 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- "Attention in Convolutional LSTM for Gesture Recognition" in NIPS 2018☆218Updated 4 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆96Updated 4 years ago
- ☆285Updated 7 years ago
- ☆34Updated 7 years ago
- A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head atte…☆144Updated 6 years ago
- An LSTM for time-series classification☆407Updated 6 years ago
- Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)☆182Updated 7 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆158Updated last year
- 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 5 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- Multimodal Gesture Recognition Using 3D Convolution and Convolutional LSTM☆91Updated 5 years ago
- Code and documentation for seizure prediction from EEG data☆54Updated 6 years ago
- Human Activity Recognition using ML on UCI HAR dataset☆16Updated 9 years ago
- Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data☆67Updated 6 years ago