The invention discloses a method for measuring emotion based on a convolutional neural network. The method comprises the following steps: establishing a personal archive data packet by using face recognition and classifying personal facial expression categories; an image acquisition device is arranged in a working area to acquire a personal face image of each person in a unit in real time; the emotion measurement method further comprises the steps that a personal facial expression category recognition model is established, expressions in a prediction time period are recognized through the personal facial expression category recognition model to form personal emotion states, and finally a quantization table of the emotion states of each person in a unit is obtained; according to the method, the precision of expression recognition in a natural state is improved, large-scale application in the natural state in a working scene is achieved, emotion data is collected in a more objective and non-invasive mode, the form of evaluating emotion through a scale and questionnaire answers in the past is removed, and the authenticity and operability of the emotion data are guaranteed.
Method for measuring emotion based on convolutional neural network