danielelic / deep-casasLinks
Deep learning and LSTM approaches for human activity recognition
☆36Updated 2 years ago
Alternatives and similar repositories for deep-casas
Users that are interested in deep-casas are comparing it to the libraries listed below
Sorting:
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆67Updated 2 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆26Updated 3 years ago
- Encoding human activity by considering salient sensors and time points.☆40Updated 2 years ago
- Transformer for Human Activity Recognition☆71Updated 2 years ago
- Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer …☆23Updated 4 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆45Updated 3 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆41Updated 3 years ago
- AROMA: A Deep Multi-Task Learning Based Simple and Complex Human Activity Recognition Method Using Wearable Sensors☆29Updated 7 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆58Updated 6 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆16Updated 5 years ago
- Data Analysis and Machine Learning on Physical monitoring data☆15Updated 5 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
- Contrastive Learning (SimCLR) for Human Activity Recognition☆77Updated 4 years ago
- LSTM-CNN model for Human Activity Recognition☆23Updated 6 years ago
- Code for the paper "Attention-Based Deep Learning Framework for Human Activity Recognition with User Adaptation", Buffelli D., Vandin F.,…☆19Updated 3 years ago
- ☆8Updated 5 years ago
- A repository for unified analysis of accelerometer-based human activity recognition.☆36Updated 2 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 6 years ago
- Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the Internatio…☆54Updated 2 months ago
- Human Activity Recognition Using Deep Learning☆48Updated 5 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆96Updated 7 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆49Updated 2 years ago
- ☆18Updated 3 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 4 years ago
- ☆36Updated 8 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆25Updated 2 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
- ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition☆12Updated 4 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago