MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
☆364Oct 19, 2021Updated 4 years ago
Alternatives and similar repositories for motion-sense
Users that are interested in motion-sense are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Oct 25, 2021Updated 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
- 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…☆99Jun 22, 2017Updated 8 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Jul 13, 2021Updated 4 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.
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆25Feb 21, 2021Updated 5 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
- Ensembles of Deep LSTM Learners for Human Activity Recognition using Wearables in Pytorch☆15May 22, 2019Updated 6 years ago
- ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition☆16Nov 7, 2020Updated 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
- Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis (IoTDI'18)☆19Sep 13, 2021Updated 4 years 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
- This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.☆127Dec 21, 2024Updated last year
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Mar 18, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆10Feb 14, 2023Updated 3 years ago
- ☆41Sep 14, 2017Updated 8 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40May 22, 2019Updated 6 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Mar 17, 2021Updated 5 years ago
- Transformer for Human Activity Recognition☆77Jan 18, 2023Updated 3 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆50Jul 16, 2022Updated 3 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
- A repository for unified analysis of accelerometer-based human activity recognition.☆40Feb 10, 2023Updated 3 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆93May 18, 2025Updated 11 months 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.
- MATLAB implementation of gait cycle validation and segmentation using inertial sensors.☆18Jun 11, 2021Updated 4 years ago
- Code repository for experiments on deep architecture for HAR in ubicomp☆25May 29, 2017Updated 8 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
- Multimodal human activity recognition using wrist-worn wearable sensors.☆47Aug 5, 2020Updated 5 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
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆31Jan 26, 2021Updated 5 years ago
- Using Machine Learning to determine Human Activity using data from 6 d.o.f. IMU sensor.☆18Apr 14, 2020Updated 6 years ago
- A sample code of data augmentation methods for wearable sensor data (time-series data)☆412Aug 3, 2020Updated 5 years ago
- Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement among…☆3,488Nov 6, 2022Updated 3 years ago
- 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.
- Encoding human activity by considering salient sensors and time points.☆42Mar 24, 2023Updated 3 years ago
- Code for our AAAI-2021 paper "Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition".☆43Sep 22, 2021Updated 4 years ago
- Entropy and ShaPe awaRe timE-Series SegmentatiOn forprocessing heterogeneous sensor data☆31Jul 10, 2022Updated 3 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆44Apr 3, 2025Updated last year
- DeepConvLSTM implemented in python 3 and pytorch☆28Oct 15, 2021Updated 4 years ago
- ☆38Feb 23, 2017Updated 9 years ago
- Implementation code and parameters of the CNN-IMU presented in the Journal "Convolutional Neural Networks for Human Activity Recognition …☆33Aug 14, 2019Updated 6 years ago