Facial expression recognition helps to understand others’ internal states in human social activities. Generally, the facial expression is recognised by analysing face videos and/ or images. However, because of the spread of COVID-19, many people wear masks as a common anti-epidemic measure, and it leads to heavy loss of  facial information. The primary goal of the project is to build facial recognition computer vision model from the masked faces. To achieve this goal, the research will use the exposed part of face (above the nose bridge) image sequences and physiological signals (electroencephalogram, electrocardiogram, galvanic skin response, respiration pattern, skin temperature, and so on).