☆41Sep 14, 2017Updated 8 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:
- Code repository for experiments on deep architecture for HAR in ubicomp☆25May 29, 2017Updated 8 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆74Feb 16, 2023Updated 3 years ago
- Nursing activity recognition by using deep learning.☆10Aug 26, 2019Updated 6 years ago
- ☆12Jan 23, 2024Updated 2 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29May 15, 2018Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Mar 17, 2021Updated 5 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
- A brief python script for DS combination rule☆16Aug 12, 2017Updated 8 years ago
- ☆38Feb 23, 2017Updated 9 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆18Jul 6, 2023Updated 2 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆49Mar 30, 2021Updated 5 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆47Aug 5, 2020Updated 5 years ago
- Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type …☆323Nov 6, 2022Updated 3 years ago
- Human Activity Recognition Using Convolutional Neural Network in Keras☆218Jan 15, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Recognizing human activities using Deep Learning☆52Dec 9, 2020Updated 5 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
- code and trained models for "Attention as Activation"☆19Jul 16, 2020Updated 5 years ago
- Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement among…☆3,533Nov 6, 2022Updated 3 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆365Oct 19, 2021Updated 4 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Jul 13, 2021Updated 4 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆24Feb 21, 2021Updated 5 years ago
- SGM-Net re-implemented with pytorch.☆13Jul 25, 2024Updated last year
- 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
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆61May 14, 2019Updated 6 years ago
- [AAAI 2024] XKD: Cross-modal Knowledge Distillation with Domain Alignment for Video Representation Learning.☆16Jul 9, 2024Updated last year
- Sensor-based human activity recognition from smartphone data in Keras with on-device inference☆40May 16, 2019Updated 6 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
- Frequency domain (Fast Fourier Transform) and time-frequency (wavelet transform) feature extraction from Electrocardiogram (ECG) data.☆11Apr 30, 2022Updated 3 years ago
- ☆14Feb 28, 2024Updated 2 years ago
- Real-time smart webcam in TensorFlow trained on the Charades dataset☆15Apr 19, 2018Updated 7 years ago
- Deep learning models for classifying ECG time series☆12Jul 28, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D versions with DEMO, for Classification and Regression)☆14Oct 4, 2021Updated 4 years ago
- Nested Cross Validation implementation with XGBoost☆12May 9, 2017Updated 8 years ago
- ☆12Feb 5, 2024Updated 2 years ago
- Attention-Based Convolutional Neural Network for Weakly Labeled Human Activities’ Recognition With Wearable Sensors☆12Jul 21, 2020Updated 5 years ago
- ☆15Apr 1, 2026Updated 2 weeks ago
- This project senses human activity with the help of an app installed in the smartphone which uses ML to predict from the data collected f…☆14Feb 13, 2021Updated 5 years ago
- Extract marker data from C3D files and save them in OpenSim TRC format☆15Jun 2, 2022Updated 3 years ago