Research Projects
In this line of research, we focus on designing cost-efficient systems to assess pulmonary healthiness and to help with the rehabilitation of pulmonary diseases via ubiquitous and portable devices, including earphones, speakers, microphones, and depth cameras.
This project aims to utilize mmWave technology for non-invasive and privacy-preserving monitoring of motor symptoms and vital signs in elderly and chronic disease patients, such as those with Parkinson’s Disease.
Ballistocardiogram is a non-contact method to record the status of cardiovascular system. Analyzing BCG signals can achienve applications such as rspration, heartbeat, blood pressure and sleep monitirong.
Our research methodology centers around leveraging deep learning-enhanced wearable sensing technologies to gain valuable insights into the biomechanics of individuals with musculoskeletal diseases, with a specific focus on KOA gait re-training.
Our goal is to design a consumer-grade near-infrared spectroscopy system for daily monitoring of food quality and safety. In our previous works, we mainly care about general food nutrition and type detection for normal people, and give special attention to the infants to monitor baby food nutrients.
This project involves with designing immersive and lightweight interaction techniques for IoT devices using their existing sensors or minimal sensor add-ons and we target a wide range of IoT devices, including smartphones, tablets, earphones, and eyeglasses.
Recently, Reconfigurable Intelligent Surface (RIS), as known as a promising technique in 6G communication, brings us new capabilities and is promising to make RF sensing systems more practical and robust.
Secure communication protocols are essential in AIoT sensing to prevent spoofing attacks that could compromise data integrity and device authenticity, thus they must implement robust encryption and authentication mechanisms to mitigate spoofing risks and ensure secure communication between devices.
