During the pilot's departure from the ship

the information of the ascending and descending of the pilot's departure from the ship could not fully rely on the single acceleration threshold judgement method

resulting in a erroneous judgement of the information. For this reason

a dual signal filtering algorithm based on human posture had been proposed to monitor the departure ship. The attitude sensor equipments had been collected for the attitude data

and the Kalman filter has been used to filter out the noise

estimating the posture state of the human body. A software digital low pass filter had been constructed to filter the influence of gravity acceleration. Then the FIR filter had been constructed to filter the noise in the linear acceleration

and had detected the attitude information during the pilot's departure

and Realization of Linkage with Safety Climbing Protective Device. The experimental results show the detection method realizes the attitude judgment of pilot boarding ship and reduces the incorrect operation rate

being better divided into other incorrect behavior.