Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
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Updated
Mar 19, 2023 - Python
Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras
Convert HAR(HTTP Archive) to YAML/JSON testcases for HttpRunner. Merged to httprunner/ext/har2case.
Improving Human Activity Recognition through Self-training with Unlabeled Data
The source code and collected data for the Meta-HAR (WWW 2021) paper.
Convert .har file in python requests scripts 🔄
Implement Human Activity Recognition in PyTorch using hybrid of LSTM, Bi-dir LSTM and Residual Network Models
Code for HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data, IEEE PerCom CoMoRea 2022
Human Activity Recognition Using Convolutional Neural Network in Keras for SensorTile (STMicroelectronics)
Yandex-tank tools
For HAR, our novel HDAD (IGAV) dataset was constructed by performing 4 dynamic and 3 static activities with the accelerometer and gyroscope sensors of the IOS smart phone in two different positions for a total of 15 seconds. Mentioned activities were collected in real time by placing them on the waist of a total of 10 volunteers.
Time Series Data Analyze -- Amazing human activity recognition use a searching method to get the best accuracy
Pytorch Human Activity Recognition based on wearable sensors
The official released code of FRF-GCN accepted by AAAI-24.
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