qinnzou / Gait-Recognition-Using-SmartphonesLinks
Deep Learning-Based Gait Recognition Using Smartphones in the Wild
☆120Updated last year
Alternatives and similar repositories for Gait-Recognition-Using-Smartphones
Users that are interested in Gait-Recognition-Using-Smartphones are comparing it to the libraries listed below
Sorting:
- 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
- An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please no…☆314Updated 9 months ago
- DeepConvLSTM model for sensor-based human activity recognition in Pytorch☆40Updated 6 years ago
- This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardizatio…☆102Updated 5 years ago
- Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).☆70Updated 2 years ago
- [ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"☆48Updated 4 years ago
- Human Activity Recognition Transformer (HART) is a transformer based architecture that has been specifically adapted for IMU sensing devi…☆69Updated 9 months ago
- Transformer for Human Activity Recognition☆75Updated 2 years ago
- A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)☆230Updated 3 years ago
- Multimodal human activity recognition using wrist-worn wearable sensors.☆48Updated 5 years ago
- Intertial-based Human Activity Recognition with Transformers☆83Updated 4 years ago
- Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".☆17Updated 5 years ago
- Simple 1D CNN approach to human-activity-recognition (HAR) in PyTorch.☆60Updated 6 years ago
- This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"☆42Updated 5 months ago
- Improving Deep Learning for HAR with shallow LSTMs (best paper award), Bock et al., presented at ISWC 2021 (online)☆59Updated 5 months ago
- predicts the human activities based on accelerometer and Gyroscope data of Smart phones☆57Updated 4 years ago
- ☆41Updated 8 years ago
- DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)☆47Updated 3 years ago
- Improving Human Activity Recognition through Self-training with Unlabeled Data☆42Updated 4 years ago
- Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the…☆98Updated 8 years ago
- Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition☆26Updated last year
- Package for analyzing human motion data (e.g. PA, gait)☆92Updated 4 months ago
- Contrastive Learning (SimCLR) for Human Activity Recognition☆79Updated 4 years ago
- Use a LSTM network to predict human activities from sensor signals collected from a smartphone☆52Updated 3 years ago
- Human activity recognition, is a challenging time series classification task. It involves predicting the movement of a person based on se…☆87Updated 5 years ago
- CZU-MHAD: A multimodal dataset for human action recognition utilizing a depth camera and 10 wearable inertial sensors☆25Updated 3 years ago
- Attend and Discriminate: Beyond the State-of-the-Art for Human Activity Recognition Using Wearable Sensors☆23Updated 4 years ago
- Official code for "Towards a Deeper Understanding of Skeleton-based Gait Recognition" (CVPRW'22)☆44Updated 3 years ago
- Code for AAAI paper "Two-Stream Convolution Augmented Transformer for Human Activity Recognition"☆118Updated 4 years ago
- A human pose estimation system for videos, that extracts kinematics that describe a gait (walk)☆48Updated 5 years ago