wilfer9008 / CNN_IMU
Implementation code and parameters of the CNN-IMU presented in the Journal "Convolutional Neural Networks for Human Activity Recognition using Body-Worn Sensors"
☆31Updated 5 years ago
Related projects: ⓘ
- Step event detection and stride length estimation based on leg-and-shoe-mounted EcoIMU and LSTM.☆21Updated 5 years ago
- User activity detection using IMU (Inertial Measurement Unit) sensors and power of deep learning. The accelerometer data from smart weara…☆46Updated 5 years ago
- Using Machine Learning to determine Human Activity using data from 6 d.o.f. IMU sensor.☆20Updated 4 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆27Updated 6 years ago
- Intertial-based Human Activity Recognition with Transformers☆59Updated 3 years ago
- Using LSTM networks to train IMU data by PLOS - This is custom LSTM-RNN .☆13Updated 6 years ago
- Detecting sleep/awake state using wrist-worn accelerometer data☆11Updated 5 years ago
- Data and Code of the paper Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion☆32Updated 7 years ago
- A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extr…☆19Updated 5 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- MATLAB implementation of gait cycle validation and segmentation using inertial sensors.☆18Updated 3 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- Developing a Convolutional LSTM model for human posture recognition from wearable IMUs sensors☆12Updated 4 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 4 years ago
- Database for human gait analysis consisting of continues recordings of combined activities, such as walking, running, taking stairs up an…☆84Updated 3 years ago
- ☆34Updated 7 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆96Updated 4 years ago
- A repository containing the Python version of the algorithms for development purposes☆15Updated 6 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆47Updated 2 years ago
- MATLAB Human Activity Recognition Toolbox☆56Updated 6 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆62Updated last year
- Dataset for fall detection in a wearable device☆24Updated 4 years ago
- ☆8Updated 4 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆29Updated last year
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆54Updated 5 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- Deep Learning Approach for UWB Applications (IEEE Journal of Biomedical and Health Informatics)☆22Updated 3 years ago
- Codes for Deep Learning Based Speed Estimation for Constraining Strapdown Inertial Navigation on Smartphones☆54Updated last year
- Detection of two phases (swing and stance) phase from the IMU datasets.☆13Updated 6 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago