Game vibration sense control method, terminal and computer readable storage medium
A control method and game technology, applied in computer components, computing, indoor games, etc., can solve problems such as low user experience and low accuracy of vibration algorithm scene recognition
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no. 1 example
[0063]In order to solve the problem that the current vibration algorithm is unstable, there are some vibration scene recognition errors, resulting in false vibration or no vibration, which affects the user experience. This embodiment uses the currently hottest AI (Artificial Intelligence, artificial intelligence) deep learning neural network algorithm, and through deep learning of signals that need to vibrate (such as various types of gunshots, explosions, car collisions, etc.), during the game Perform real-time calculations through DSP (Digital Signal Processing) to determine the similarity between the running electrical signal and the eigenvector that requires vibration signals. If the similarity reaches a certain threshold, it will be judged as a signal that requires vibration, and at the same time control the motor. Shake. The game vibration control scheme provided by this embodiment has high recognition accuracy and high commercial promotion value.
[0064] See image 3...
no. 2 example
[0107] On the basis of the first embodiment, the embodiment of the present invention provides a terminal for realizing the steps of the game vibration control method proposed in the above-mentioned first embodiment, please refer to Figure 6 , the terminal includes a processor 61, a memory 62, a communication bus 63, and a motor 64; the communication bus 63 is used to realize connection and communication between the processor 61 and the memory 62; the processor 61 is used to execute one or more programs stored in the memory 62 A program to realize the steps of the game vibration control method as described in the first embodiment, including:
[0108]When the processor 61 receives the detection instruction, it acquires the audio signal to be tested in real time when the terminal game is running, and extracts the feature vector of the audio signal to be tested and synchronously inputs it into the neural network model; the neural network model is used to determine whether the audi...
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