mmalekzadeh / motion-senseLinks
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
☆356Updated 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
Sorting:
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆104Updated 6 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆70Updated 2 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 4 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆91Updated 5 months ago
- Transformer for Human Activity Recognition☆76Updated 2 years ago
- A sample code of data augmentation methods for wearable sensor data (time-series data)☆413Updated 5 years ago
- deadskull7 / Human-Activity-Recognition-with-Neural-Network-using-Gyroscopic-and-Accelerometer-variablesThe VALIDATION ACCURACY is BEST on KAGGLE. Artificial Neural Network with a validation accuracy of 97.98 % and a precision of 95% was ach…☆85Updated 7 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆319Updated 11 months ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 5 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆88Updated 5 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆282Updated 7 years ago
- ☆36Updated 8 years ago
- Some Machine Learning techniques for Time Series classification.☆39Updated 8 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆98Updated 8 years ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆37Updated 2 years ago
- Encoding human activity by considering salient sensors and time points.☆42Updated 2 years ago
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆60Updated 7 months ago
- The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals☆148Updated 5 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 7 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆27Updated 4 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆18Updated 2 years ago
- Data augmentation using synthetic data for time series classification with deep residual networks☆183Updated 7 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 4 years ago
- A comparative study for gait cycle detection☆11Updated 6 years ago
- Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)☆137Updated last year
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆70Updated 10 months ago
- Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up an…☆104Updated 4 years ago