The invention discloses an organizer heart state prediction method. The method comprises the steps of obtaining combination data of organizers in a time period, preprocessing the combination data to form combined data features to be identified, sending the combined data features to a pre-established heart state prediction neural network model, performing analyzing by the heart state prediction neural network model to output heart state prediction data, and outputting a heart state value corresponding to the heart state prediction data from the heart state prediction data through a heart stateprediction identification library. According to the invention, the method gets rid of a form of evaluating the heart state only through on-site visiting and questionnaire answer quality, achieves thequantification of heart state prediction, and can be applied on a large scale. The accuracy of expression recognition in a natural state is improved, the average accuracy of common expression recognition in the natural state reaches 65% or above, large-scale application in the natural state in a working scene is achieved, emotion data are collected in a more objective and non-invasive mode, and the authenticity and the operability of heart state data are guaranteed.
Organizer heart state prediction method