Mobile Applications

Vision-enhanced BLE localization

This project enhances BLE localization system with vision technologies to offer accurate, robust, and intuitive tracking of BLE devices. Technically, it synergizes the AoA localization with homography-based matching algorithm. Typical use cases are on smart phones and tracking tags. 

Sidelink communication for  UAV

The project aims to enhance the connectivity, mobility, and safety of urban UAV applications through the translation of the standardized C-V2X technologies (3GPP Rel 14/15 compliant).  It helps address mobility issues in UAV-to-UAV communication.

PPG-based blood pressure measure 

This study aims to facilitate vital signal monitoring and disease diagnosis in clinical practices with physiological signal sensors integrated into wearable devices. Specifically, we propose to monitor one's blood pressure through a physiological signal called photoplethysmogram (PPG) and advanced machine learning technologies, in a daily and non-invasive manner. The outcome of the research work will serve innovation in mobile healthcare applications.