arijitiiest / UCI-Human-Activity-Recognition
Human Activity Recognition Project on UCI-HAR dataset. This model predicts human activities such as Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing or Laying. This dataset is collected from 30 persons, performing different activities with a smartphone to their waists
☆11Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for UCI-Human-Activity-Recognition
- 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset…☆51Updated 2 years ago
- ☆67Updated last year
- ☆8Updated 4 years ago
- Transformer for Human Activity Recognition☆64Updated last year
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆50Updated 3 weeks ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆47Updated 3 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆38Updated 5 years ago
- Sensor Data Augmentation by Resampling for Contrastive Learning in Human Activity Recognition☆11Updated last year
- ☆9Updated 2 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 4 years ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆260Updated last month
- Contrastive Learning (SimCLR) for Human Activity Recognition☆70Updated 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 …☆15Updated 2 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- Human Activity Recognition using LSTM-CNN model on raw data set.☆31Updated last year
- This repository provides the codes and data used in our paper "DanHAR: Dual Attention Network For Multimodal Human Activity Recognition U…☆15Updated 2 years ago
- ☆41Updated 7 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated last year
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆32Updated last year
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆48Updated 2 months ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆22Updated 3 years ago
- The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sens…☆17Updated 3 years ago
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆28Updated 3 years ago
- [IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors☆12Updated 3 years ago
- Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.☆17Updated last year
- [PAKDD-2021] Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition☆15Updated last year
- An implementation of the CNN-LSTM model for Classifying Time Series Human Activities☆23Updated 4 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆62Updated last year