In traditional methods，acquiring the helicopter pilot's driving status requires the use of wearable devices，which shall affect the driving. Therefore，a helicopter driving state detection method is proposed based on keypoint detection. The helicopter driving state is decomposed into human posture and the positional information of control components，and a self-built helicopter driving data set is used for training designed models. A method of determining the state of control components via coordinate regression of the components and a method of building pilot posture model through coordinate regression of the pilot posture is realized respectively. Test results indicate that the method achieves an average recognition accuracy of 0.923 1 for pilot driving actions and 0.986 1 for the position of control components，thereby validating the feasibility of establishing a pilot posture model through coordinate regression.