Method to enhance first-person-view experience

1. A method of simulating force feedback of a remote-control vehicle in a motion simulator comprising a chair, comprising:

recording, by a plurality of cameras mounted on the remote-control vehicle, videos;

detecting, by an image stabilization module, image stabilization signals generated from the plurality of cameras;

calculating, by a motion processing unit, six degrees of freedom of motions of the remote-control vehicle based on the image stabilization signals;

controlling, by a control unit in the motion simulator, an instantaneous velocity and an instantaneous acceleration of the remote-control vehicle;

calculating, by a G-force calculation unit, the G-force based on a mass of the remote-control vehicle, a mass of a player sitting in the motion simulator, the instantaneous velocity and the instantaneous acceleration recorded in the control unit;

producing, by a force feedback generation unit in the motion simulator, force feedback signals based on the six degrees of freedom of motions of the remote-control vehicle and the G-force calculated by the G-force calculation unit;

generating, from the motion simulator, a force feedback based on the force feedback signals; and

receiving, by the player sitting in the chair of the motion simulator, the force feedback.

2. The method of cairn 9 , wherein the plurality of cameras include a front view camera and a rear vim camera, wherein the rear view camera is implemented in a way that is not aligned with a straight line between the front view camera and the center of mass of the remote-control vehicle so that both cameras can detect different degrees of freedom of motions.

3. The method of claim 1 further comprising:

integrating, by a video processing module in the remote-control vehicle, videos recorded by the plurality of cameras with the image stabilization signals detected by the image stabilization module in the remote-control vehicle to generate stabilized videos;

converting, by the video processing module, the stabilized videos into video signals; and

transmitting, by a transmitter connected with the video processing module in the remote-control vehicle, the video signals via a network to a receiver in the motion simulator.

4. The method of claim 1 further comprising:

transmitting, by a transmitter connected with the image stabilization module, the image stabilization signals detected by the image stabilization module in the remote-control vehicle via a network to a receiver in the motion simulator.

5. The method of claim 1 further comprising:

transmitting, from a receiver in the motion simulator to an information splitter in the motion simulator, the image stabilization signals and video signals, wherein the video signals are converted from stabilized videos, the stabilized videos are an integration of the videos recorded by the cameras and the image stabilization signals generated from the cameras;

extracting and sending, by the information splitter, the image stabilization signals to the motion processing unit; and

extracting and sending, by the information splitter, the video signals to a display unit in the motion simulator.

6. The method of claim 5 , wherein the display unit is a headset.

7. The method of claim 1 , wherein the force feedback signals ({right arrow over (F)}) is calculated by:

{right arrow over (F)}={right arrow over (G)}⊗{right arrow over (S)}

where ({right arrow over (G)}) denotes the F force, ({right arrow over (S)}) denotes the six degrees of freedom of motions of the remote-control vehicle.

8. The method of claim 1 , wherein the image stabilization module detects the image stabilization signals which indicate image stabilization angle shifts, the image stabilization angle shifts of the camera are measured from Vestibule Ocular Reflex setups.