palewithout / Gait_DatasetsLinks
Part of the datasets of the article " Robust Gait Recognition by Integrating Inertial and RGBD Sensors"
☆9Updated 7 years ago
Alternatives and similar repositories for Gait_Datasets
Users that are interested in Gait_Datasets are comparing it to the libraries listed below
Sorting:
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- ☆8Updated 5 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆37Updated 2 months ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 7 years ago
- Step event detection and stride length estimation based on leg-and-shoe-mounted EcoIMU and LSTM.☆26Updated 6 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆16Updated 5 years ago
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆55Updated 3 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated 2 years ago
- 基于一维卷积神经网络(1D-CNN)的多元时间序列分类☆78Updated 5 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 4 years ago
- A toy LSTM net for action recognition using IMU sensor data, implemented in PyTorch. For the Hand-on tutorial as a TA in NAIST Spring Sem…☆10Updated 6 years ago
- Intertial-based Human Activity Recognition with Transformers☆77Updated 4 years ago
- Human Activity Recognition using LSTM-CNN model on raw data set.☆35Updated 2 years ago
- ☆23Updated 3 years ago
- MATLAB implementation of gait cycle validation and segmentation using inertial sensors.☆18Updated 4 years ago
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆25Updated 4 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆26Updated 3 years ago
- Source code for the Gait Recognition using LSTM, presented in the paper "Multi-model Long Short-term Memory Network for Gait Recognition …☆18Updated 3 years ago
- ☆11Updated 2 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"☆30Updated 4 years ago
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆14Updated 3 years ago
- Transformer for Human Activity Recognition☆71Updated 2 years ago
- A synthetic approach is proposed for hand motion recognition with surface EMG signals. We used CNN features which were automatically extr…☆19Updated 6 years ago
- Deep learning, classification on the WISDM dataset☆13Updated 2 years ago
- sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)☆18Updated 6 years ago
- 对原始数据集进行预处理,窗口划分,特征提取,特征融合,分类识别☆12Updated 9 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 6 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 4 years ago