getalp / Lightweight-Transformer-Models-For-HAR-on-Mobile-Devices
Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devices. Findings shows that HART uses fewer paremeters, FLOPs and achieves state-of-the-art results.
☆54Updated 2 months ago
Alternatives and similar repositories for Lightweight-Transformer-Models-For-HAR-on-Mobile-Devices:
Users that are interested in Lightweight-Transformer-Models-For-HAR-on-Mobile-Devices are comparing it to the libraries listed below
- Intertial-based Human Activity Recognition with Transformers☆70Updated 3 years ago
- Transformer for Human Activity Recognition☆65Updated 2 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆33Updated 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 months ago
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆281Updated 2 months ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 3 years ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆73Updated 3 years ago
- ☆8Updated 6 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆16Updated 4 years ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆39Updated 5 years ago
- DeepConvLSTM implemented in python 3 and pytorch☆24Updated 3 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆39Updated 3 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆45Updated 4 years ago
- CNN, LSTM, CNN+LSTM for human activity recongnition on WISDM dataset(smartphone dataset)☆20Updated 6 years ago
- 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
- An up-to-date & curated list of Awesome Human Activity Recognition(Ubiquitous Computing) papers, methods & resources.☆28Updated 4 years ago
- ☆34Updated 2 months ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 3 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆46Updated 3 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆63Updated 2 years ago
- The official implementation of paper "Towards a Dynamic Framework for Multi-Sensor-Based Wearable Human Activity Recognition". Accepted b…☆23Updated 2 years ago
- CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors☆21Updated 2 years ago
- Large Language and Sensor Assistant: Multimodal LLM for sensor and human activity interpretation☆19Updated 2 months ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆73Updated 4 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆21Updated last year
- Human Activity Recognition using LSTM-CNN model on raw data set.☆33Updated 2 years ago
- The MHEALTH (Mobile Health) dataset is devised to benchmark techniques dealing with human behavior analysis based on multimodal body sens…☆19Updated 3 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆100Updated 5 years ago
- The layer-wise training convolutional neural networks using local loss for sensor based human activity recognition☆20Updated 4 years ago
- ☆11Updated 2 years ago