Deep convolutional and LSTM feature extraction approach with 784 features.

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

[COMCOM 2022] GLMLP-TRANS: A transportation mode detection model using lightweight sensors integrated in smartphones

Human Activity Recognition using UCF50 dataset and LSTM model

Experience next-generation road safety with HyperDetectAI. Our Object Detection system, powered by AI, detects cars, people, and objects in real-time, providing alerts for speeding, collision risks, and potential accidents. Stay informed and secure on the road with HyperDetectAI.

Human Activity Recognition based on WiFi Channel State Information

Official GitHub page of the journal article "Investigating (Re)current State-of-the-art in Human Activity Recognition Datasets" submitted to the Mobile and Ubiquitous Computing section in Frontiers in Computer Science.

Human Activity Detection with TensorFlow and Python.

[UbiComp/IMWUT '23] Hierarchical Clustering-based Personalized Federated Learning for Robust and Fair Human Activity Recognition

An activity classification model based on self-supervised learning for wrist-worn accelerometer data.

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Official GitHub page of the arXiv publication "WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition"

21300-Images-Human-Body-Segmentation-Data

This project represents the implementation of the Enhanced Spatio-Temporal Image Encoding used in the paper "Enhanced Spatio- Temporal Image Encoding for Online Human Activity Recognition" published in the "International Conference on Machine Learning and Applications (ICMLA) 2023".

This project represents the implementation of the Spatio-Temporal Image Encoding used in the paper "Human Activity Recognition: A Spatio-temporal Image Encoding of 3D Skeleton Data for Online Action Detection" published in the "International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications(VISAPP) 2022".

Gaze-enabled Augmented Reality

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

[ECCV 2024]Temporary code for "Ad-HGformer: An Adaptive HyperGraph Transformer for Skeletal Action Recognition"

"Embark on a cutting-edge journey in Human Activity Recognition using a fusion of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. This project includes model training, metric visualization, and action prediction in videos. Experience seamless interaction with a Streamlit-powered user-friendly version (at the bottom)