Abstract: Disclosed is a method and system for predicting a touch interaction position on a large display based on a binocular camera. The method includes: separately acquiring arm movement video frames of a user and facial and eye movement video frames of the user by a binocular camera; extracting a video clip of each tapping action from the arm movement video frames and the facial and eye movement video frames and obtaining a key frame by screening; marking the key frame of each tapping action with coordinates to indicate coordinates of a finger in a display screen; inputting the marked key frame to an efficient convolutional network for online video understanding (ECO)-Lite neural network for training to obtain a predictive network model; and inputting a video frame of a current operation to be predicted to the predictive network model and outputting a touch interaction position predicted for the current operation.