mmalekzadeh / motion-sense
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
☆332Updated 3 years ago
Alternatives and similar repositories for motion-sense:
Users that are interested in motion-sense are comparing it to the libraries listed below
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆100Updated 5 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆63Updated 2 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆45Updated 3 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆95Updated 7 years ago
- Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers☆273Updated 6 years ago
- Transformer for Human Activity Recognition☆70Updated 2 years ago
- Deep learning and LSTM approaches for human activity recognition☆35Updated last year
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆57Updated 5 years ago
- Package for analyzing human motion data (e.g. PA, gait)☆90Updated 4 months ago
- Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks☆36Updated 2 years ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆35Updated 2 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆285Updated 3 months ago
- iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android☆193Updated 4 years ago
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆51Updated 4 months ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆58Updated 3 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 3 years ago
- ☆40Updated 7 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- A sample code of data augmentation methods for wearable sensor data (time-series data)☆398Updated 4 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…☆84Updated 6 years ago
- Convolutional Neural Network for Human Activity Recognition in Tensorflow☆474Updated 2 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 3 years ago
- Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition☆11Updated 2 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆28Updated 6 years ago
- The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals☆145Updated 5 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆40Updated 3 years ago
- Artificial Neural Networks (ANN), k-Nearest Neighbors, Random Forest classifier and Support Vector Machines (SVM) were trained over a HAR…☆24Updated 6 years ago
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago