Project

Using Computer Vision to Measure Quality of Hand Hygiene
This research is implemented by sensors placed into the environment, such as infra-red cameras (thermal camera) and RGB-Depthcameras (Azure Kinect), to detect the hand surface coverage of antiseptic products after performing hand hygiene.

Using Ubiquitous Sensing to Detect Episodes of Hand Hygiene
This research is implemented by sensors attached to the user’s body, such as IMU and sEMG (Myo Armband), to detect and track episodes of handwashing and handrubbing.

Using Environment and Calendar Data to Predict Emergency Admissions
The task is to design a machine learning algorithm, which can be used to predict admissions of the emergency department, through environment data, calendar variables, and history admission records.

iTime (time management application)
iTime is a time management application, allowing people to manage private affairs, negotiate time slots of meetings, and publish public events easily and efficiently.