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.
☆323Nov 6, 2022Updated 3 years ago
Alternatives and similar repositories for HAR-stacked-residual-bidir-LSTMs
Users that are interested in HAR-stacked-residual-bidir-LSTMs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆289Jun 3, 2018Updated 8 years ago
- Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement among…☆3,488Nov 6, 2022Updated 3 years ago
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆485Nov 16, 2022Updated 3 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆74Feb 16, 2023Updated 3 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆98Jun 22, 2017Updated 9 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Human Activity Recognition Using Deep Learning☆50Jan 22, 2020Updated 6 years ago
- Transformer for Human Activity Recognition☆78Jan 18, 2023Updated 3 years ago
- ☆11Sep 8, 2017Updated 8 years ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆195Jan 14, 2021Updated 5 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆338Nov 29, 2024Updated last year
- LSTM-CNN model for Human Activity Recognition☆24Jun 10, 2018Updated 8 years ago
- This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.☆129Dec 21, 2024Updated last year
- LSTM based human activity recognition using smart phone sensor dataset☆22Jun 17, 2017Updated 9 years ago
- CNNs and Stacked denoising autoencoders for human activity recognition using Keras☆22Sep 11, 2018Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learnin…☆88Sep 25, 2017Updated 8 years ago
- Temporal Segments LSTM and Temporal-Inception for Activity Recognition☆440Jun 27, 2020Updated 6 years ago
- Conversion of the original code to work in Python3☆14Nov 21, 2017Updated 8 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆49Aug 5, 2020Updated 6 years ago
- TensorFlow implementation of Sensors 2018 paper: Divide and Conquer-based 1D CNN Human Activity Recognition Using Test Data Sharpening☆12Sep 28, 2018Updated 7 years ago
- Deep learning and LSTM approaches for human activity recognition☆39Mar 24, 2023Updated 3 years ago
- Keras implementation of Nested LSTMs☆88Dec 6, 2018Updated 7 years ago
- The comparsion methods code☆12Mar 7, 2022Updated 4 years ago
- Encoding human activity by considering salient sensors and time points.☆42Mar 24, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Resources about activity recognition-行为识 别资料☆929Aug 20, 2019Updated 6 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…☆148Aug 20, 2018Updated 7 years ago
- sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)☆18Sep 27, 2018Updated 7 years ago
- Code repository for experiments on deep architecture for HAR in ubicomp☆25May 29, 2017Updated 9 years ago
- Deep convolutional neural network for human activity recognition☆24Dec 1, 2017Updated 8 years ago
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆15May 22, 2019Updated 7 years ago
- Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks☆37Apr 21, 2022Updated 4 years ago
- Ph.D. Thesis - Scalable Human Identification with Deep Learning☆28Aug 29, 2017Updated 8 years ago
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆63Mar 21, 2025Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Mar 18, 2020Updated 6 years ago
- Human activity recognition(LSTM, BidLSTM, BidLSTM+CNN, LSTM+CNN)☆16Mar 6, 2018Updated 8 years ago
- Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content l…☆1,814Jan 18, 2024Updated 2 years ago
- Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/antholog…☆22Nov 6, 2022Updated 3 years ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆40Feb 10, 2023Updated 3 years ago
- Human Activities and Postural Transitions’ Recognition using Smartphone Data☆14Oct 2, 2017Updated 8 years ago
- neural style tranfer from one walking/gait cycle to another; ArXiv:1606.03238 & ArXiv:1508.06576☆14Oct 19, 2017Updated 8 years ago