Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
☆74Feb 16, 2023Updated 3 years ago
Alternatives and similar repositories for Deep-Learning-for-Human-Activity-Recognition
Users that are interested in Deep-Learning-for-Human-Activity-Recognition are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆25Feb 21, 2021Updated 5 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆47Aug 5, 2020Updated 5 years ago
- ☆41Sep 14, 2017Updated 8 years ago
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆17May 23, 2023Updated 2 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Oct 25, 2021Updated 4 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Transformer for Human Activity Recognition☆76Jan 18, 2023Updated 3 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆336Nov 29, 2024Updated last year
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆62Mar 21, 2025Updated last year
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆364Oct 19, 2021Updated 4 years ago
- Applying a hierarchical Deep Learning to sensor stream data collected from smartphones and smartwatches to recognize the activity of user…☆33Dec 7, 2020Updated 5 years ago
- Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks☆37Apr 21, 2022Updated 4 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆61May 14, 2019Updated 6 years ago
- The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sens…☆26Mar 10, 2021Updated 5 years ago
- Human Activity Recognition Using Deep Learning☆50Jan 22, 2020Updated 6 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆233Oct 26, 2021Updated 4 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆50Mar 30, 2021Updated 5 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆95Aug 27, 2020Updated 5 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆99Jun 22, 2017Updated 8 years ago
- The comparsion methods code☆12Mar 7, 2022Updated 4 years ago
- LSTM based human activity recognition using smart phone sensor dataset☆22Jun 17, 2017Updated 8 years ago
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆19Jan 14, 2022Updated 4 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆104Oct 11, 2019Updated 6 years ago
- This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.☆127Dec 21, 2024Updated last year
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆290Jun 3, 2018Updated 7 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆50Jul 16, 2022Updated 3 years ago
- Deep learning and LSTM approaches for human activity recognition☆39Mar 24, 2023Updated 3 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Mar 17, 2021Updated 5 years ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆40Feb 10, 2023Updated 3 years ago
- This repository is an artifact for the paper "CNNs for Heart Rate Estimation and Human Activity Recognition in Wrist Worn Sensing Applica…☆15Jan 6, 2021Updated 5 years ago
- Personalized machine learning on the smartphone☆60Mar 25, 2023Updated 3 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆31Jan 26, 2021Updated 5 years ago
- Final Year Individual Project.☆20Dec 12, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition☆16Nov 7, 2020Updated 5 years ago
- The VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was ach…☆85Oct 2, 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
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Apr 6, 2021Updated 5 years ago
- Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras☆165Mar 19, 2023Updated 3 years ago
- At-FSM is an open and user-friendly embedded Finite State Machine (FSM) included the Primitive State Machine (PSM) and Hierarchical State…☆12Dec 26, 2025Updated 4 months ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆77Dec 10, 2024Updated last year