Abstract: Frequency-modulated continuous wave (FMCW) radar signals reflected from the human activities are analyzed to enable accurate recognition and classification, forming the basis for activity ...

Abstract: This paper illustrates a significant contribution to Human Activity Recognition (HAR) within industrial environments. We propose a deep learning model that combines Long Short-Term Memory ...

Welcome to Sign Language Recognition for Deaf and Dumb — an innovative real-time application built to bridge communication gaps for the deaf and hard-of-hearing community. This project aims to ...

Deep-sea organism detection is one of the key technologies in deep-sea resource research and conservation. However, challenges such as low recognition accuracy and insufficient robustness arise due to ...

Background: Knee range of motion (ROM) is a key indicator of rehabilitation after total knee arthroplasty (TKA). Current tools, such as visual and protractor measurements, are cumbersome, imprecise, ...