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At present, the existing wheelchair fusion control system provides a variety of control strategies for the disabled. Most of the studies were only carried out from the perspective of improving the success rate of control, and few were carried out from the perspective of the safety and comfort of wheelchair use. In order to meet the needs of the special group for the safety and comfort of the wheelchair, a new wheelchair control strategy is proposed, which combines the eye electrical signal and the head posture change for the fusion control. The change of head posture Angle is suitable for the practical guidance of wheelchair and is in line with people's habits. Electro-Oculogram (EOG) can be divided into two types: blink and eye movement. The blink behavior is rapid and subtle, which is suitable for frequent use as a control confirmation signal, while the eye movement behavior is not prone to misoperation, so it is suitable for sending distress signals. The raspberry pie located in the wheelchair is classified by wavelet transform feature extraction and random forest algorithm to realize the wheelchair control system that is not easy to fatigue, has good maneuverability and is safe. The experiment shows that this control strategy satisfies the requirements of safety and comfort to the greatest extent on the basis of the recognition success rate of 92%.