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With the development of head-mounted display devices, education and training based on virtual reality (Virtual Reality, VR) have become popular. For education and training based on VR devices, there are interaction behaviors between users and devices. For the issue that users need to approach and avoid objects in the VR video, an interactive method combining attitude sensing and gait recognition is proposed. The head attitude of the user is calculated by the attitude sensing algorithm, while the motions of the human including stillness and walking are recognized through the gait recognition algorithm. In the walking state, the calculated heading angle and the fixed step length are substituted into the trigonometric function for position updating. In the still state, the position stays unchanged. Several experiments show that the proposed attitude algorithm can effectively calculate the pose of the user"s head, and has an overall average deviation of 1.1 × 10^-2 degrees from the attitude angle computed by a commercial IMU. The proposed gait recognition algorithm can effectively recognize the stillness and walking states. Moreover, the proposed interactive method can effectively achieve the simulated approach and avoidance.