Group training action correction system and method combining face and gesture recognition

A group training action correction system combining face and gesture recognition, comprising:

• a training gesture recognition module, configured to acquire a current training progress and recognize training gestures of multiple trainees;
• a gesture specification determination module, configured to determine whether the training gestures are standard based on a preset standard gesture corresponding to the current training progress, wherein the corresponding training gestures are taken as actions to be corrected and the trainees generating the actions to be corrected are taken as action correction objects when the training gestures are not standard;
• a personnel identity determination module, configured to recognize face IDs of the action correction objects and acquire preset personnel identities corresponding to the face IDs;
• an individual action correction moment determination module, configured to determine a nearest individual action correction moment after the current training progress on a preset training progress axis;
• and
• an individual action correction module, configured to correct and prompt individually the actions for the action correction objects based on the standard gesture, the actions to be corrected, and the personnel identities when entering the individual action correction moment, wherein
• the individual action correction moment determination module determines the nearest individual action correction moment after the current training progress on the preset training progress axis, comprising:
• determining an action training cycle that the current training progress falls on the training progress axis;
• determining a next action training cycle after the action training cycle on the training progress axis;
• determining whether the next action training cycle is the same as the action training cycle;
• determining a repetition training progress corresponding to the current training progress from the next action training cycle and taking as the individual action correction moment when the next action training cycle is the same as the action training cycle;
• otherwise, determining whether a first gap time interval exists between the action training cycle and the next action training cycle;
• taking a start moment of the first gap time interval as the individual action correction moment when the first gap time interval exists between the action training cycle and the next action training cycle;
• otherwise, acquiring a correlation relationship between the action training cycle and the next action training cycle;
• matching the correlation relationship with a triggered correlation relationship in a preset triggered correlation relationship library;
• inserting a preset second gap time interval immediately after an end moment of the next action training cycle when the match exists;
• otherwise, inserting the second gap time interval immediately after an end moment of the action training cycle;
• and
• taking a start moment of the second gap time interval as the individual action correction moment.