Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.
☆92Aug 27, 2020Updated 5 years ago
Alternatives and similar repositories for Human-Activity-Recognition-Using-Smartphones-Sensor-DataSet
Users that are interested in Human-Activity-Recognition-Using-Smartphones-Sensor-DataSet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multimodal human activity recognition using wrist-worn wearable sensors.☆47Aug 5, 2020Updated 5 years ago
- Transformer for Human Activity Recognition☆77Jan 18, 2023Updated 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
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Mar 17, 2021Updated 5 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Jul 13, 2021Updated 4 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.
- ☆12Dec 11, 2020Updated 5 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆331Nov 29, 2024Updated last year
- Human Activity Recognition using Smartphone sensors☆14Jul 13, 2020Updated 5 years ago
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆62Mar 21, 2025Updated last year
- Human activity recognition, or HAR, is a challenging time series classification task. It involves predicting the movement of a person ba…☆19Sep 11, 2020Updated 5 years ago
- ☆10Feb 14, 2023Updated 3 years ago
- Code for data processing used for the experiment in paper "Deepsense: a unified deep learning framework for time-series mobile sensing da…☆29Jul 15, 2017Updated 8 years ago
- User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart weara…☆49Apr 2, 2019Updated 6 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆28Oct 15, 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.
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40May 22, 2019Updated 6 years ago
- Jointly: A Python package for synchronizing sensors with accelerometer data☆11Jan 11, 2022Updated 4 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 Project on UCI-HAR dataset. This model predicts human activities such as Walking, Walking_Upstairs, Walking_Do…☆18May 9, 2020Updated 5 years ago
- Code repository for the paper “Deep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time…☆16Jul 20, 2025Updated 8 months ago
- ☆12Jan 23, 2024Updated 2 years ago
- A research project of applying deep learning models and data fusion algorithms on Human Activity Recognition(HAR)/Activities of Daily Liv…☆21Feb 4, 2021Updated 5 years ago
- Pytorch implementation of Spiking Neural Networks for Human Activity Recognition.☆20Dec 11, 2022Updated 3 years ago
- A computer-vision based web app that continuously monitors your blinking rate, in real-time. If you don't blink enough, it reminds you to…☆17Sep 8, 2020Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- 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 2 months 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
- ☆38Feb 23, 2017Updated 9 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆61May 14, 2019Updated 6 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Oct 25, 2021Updated 4 years ago
- Python simulator for a Potential Field based obstable avoidance and path planning☆10May 9, 2022Updated 3 years ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆61May 21, 2022Updated 3 years ago
- Human Activity Recognition by Sensor on Smartphone☆42Aug 10, 2020Updated 5 years ago
- Frequency domain (Fast Fourier Transform) and time-frequency (wavelet transform) feature extraction from Electrocardiogram (ECG) data.☆11Apr 30, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- A blockchain-based Management System for anti-counterfeits by QR codes☆13Jun 19, 2024Updated last year
- Send sensor data from an ESP + BNO055 → MQTT and/or serial port☆18Apr 17, 2022Updated 3 years ago
- End to end implementation and deployment of Machine Learning Car Price Prediction using python, flask, gunicorn, scikit-Learn, etc. on He…☆15Nov 3, 2020Updated 5 years ago
- ☆21Mar 14, 2022Updated 4 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆49Mar 30, 2021Updated 4 years ago
- Using Extreme Value Theory (EVT) to Estimate Value-at-Risk (VaR) and Expected shortfall (ES)☆12Jun 22, 2021Updated 4 years ago
- A summary of 9 mainstream algorithms practice, including : Logistic Regression / Decision Tree / Random Forest / Adaboost / SVM / Cluste…☆13Dec 19, 2018Updated 7 years ago