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.
☆97Aug 27, 2020Updated 6 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:
- ☆55Jan 7, 2019Updated 7 years 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
- Multimodal human activity recognition using wrist-worn wearable sensors.☆49Aug 5, 2020Updated 6 years ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆57Jul 17, 2026Updated 3 months ago
- Transformer for Human Activity Recognition☆78Jan 18, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆74Feb 16, 2023Updated 3 years ago
- Applying a hierarchical Deep Learning to sensor stream data collected from smartphones and smartwatches to recognize the activity of user…☆35Dec 7, 2020Updated 5 years ago
- ☆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…☆341Nov 29, 2024Updated last year
- Human Activity Recognition using Smartphone sensors☆14Jul 13, 2020Updated 6 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
- User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart weara…☆49Apr 2, 2019Updated 7 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆28Oct 15, 2021Updated 5 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40May 22, 2019Updated 7 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.
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆32Jan 26, 2021Updated 5 years ago
- ☆41Sep 14, 2017Updated 9 years ago
- MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and …☆367Oct 19, 2021Updated 5 years ago
- synthetic data generation of time-series data☆28Feb 8, 2022Updated 4 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 4 years ago
- Anomaly detection method for wireless sensor networks based on time series data☆11May 31, 2018Updated 8 years ago
- Sensor-based human activity recognition from smartphone data in Keras with on-device inference☆40May 16, 2019Updated 7 years ago
- Multidimensional time series imputation in Tensorflow 2.1.0☆11Jul 14, 2020Updated 6 years ago
- Driver for the SHT3x temperature and humditiy sensor using STM32Cube HAL☆23Apr 17, 2023Updated 3 years ago
- AI Agents on 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.
- ☆38Feb 23, 2017Updated 9 years ago
- Classifying badminton strokes based on accelorometer and gyroscope sensor data attached to player's wrist. An end-to-end Machine Learning…☆24Aug 11, 2020Updated 6 years ago
- Deep learning approach to Gait Anomaly Detection on smartphone acquired data. #RNN #CNN #gait #smartphone #inertialdata☆10Jan 15, 2020Updated 6 years ago
- Pytorch implementation of Spiking Neural Networks for Human Activity Recognition.☆22Dec 11, 2022Updated 3 years ago
- Using Extreme Value Theory (EVT) to Estimate Value-at-Risk (VaR) and Expected shortfall (ES)☆12Jun 22, 2021Updated 5 years ago
- At-FSM is an open and user-friendly embedded Finite State Machine (FSM) included the Primitive State Machine (PSM) and Hierarchical State…☆14Dec 26, 2025Updated 10 months ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Oct 25, 2021Updated 5 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆62May 14, 2019Updated 7 years ago
- A research project of applying deep learning models and data fusion algorithms on Human Activity Recognition(HAR)/Activities of Daily Liv…☆23Feb 4, 2021Updated 5 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.
- Examples for the 2019 AIOT Conference☆15Jan 9, 2020Updated 6 years ago
- Implement Human Activity Recognition in PyTorch using hybrid of LSTM, Bi-dir LSTM and Residual Network Models☆15May 8, 2020Updated 6 years ago
- Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up an…