CN109782604B - 4D film seat control system based on neural network - Google Patents
4D film seat control system based on neural network Download PDFInfo
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- CN109782604B CN109782604B CN201910142905.5A CN201910142905A CN109782604B CN 109782604 B CN109782604 B CN 109782604B CN 201910142905 A CN201910142905 A CN 201910142905A CN 109782604 B CN109782604 B CN 109782604B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
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Abstract
The invention discloses a 4D movie seat control system based on a neural network, which comprises a basic audio characteristic generating module, an audio decoding module, a cloud audio database, a lens parameter acquiring module, a driving module and a sensor module.
Description
Technical Field
The invention belongs to the field of audio and video equipment, and particularly relates to a 4D movie seat control system based on a neural network.
Background
At present, a 4D movie seat can synchronously move according to the pictures of a movie, and a 4D movie effect is achieved. However, the movement is only a fixed movement scheme, and the movement cannot be matched according to the movie sound. The method for realizing the editing of the movie seat control data mainly comprises the following steps: a manual editing method, a rocker editing method and a wearable device detection method. The manual editing method has the working mode that when a technician watches a movie, action data is manually input and recorded through a computer program according to the plot of the movie; the rocker editing method is that when watching a film, a rocker is manually operated to generate attitude data and record the attitude data; the wearable device detection method detects and records the motion data through head or gesture motions when watching a movie, the editing efficiency is low, the motion data has certain lag relative to the movie, and the synchronization effect is poor.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a 4D movie seat control system based on a neural network.
The invention provides a 4D movie seat control system, which comprises:
the basic audio characteristic generating module is used for acquiring audio data of different movies and generating different basic action audio frequency amplitude waveforms according to the audio data characteristics;
the audio decoding module is used for acquiring audio data of the current movie, decoding the audio data and uploading the audio data with different frequencies and amplitudes to the cloud audio database;
the cloud audio database is used for storing basic action audio frequency amplitude waveforms, and performing characteristic comparison and matching on the audio data uploaded by the audio decoding module and the basic action audio frequency amplitude waveforms;
the lens parameter acquisition module is used for acquiring the selected characteristic tracking points in the annular limited area and establishing a characteristic tracking point motion trail curve;
the driving module is used for controlling the actuating mechanism to make a vibration action by using a movie audio curve and controlling the actuating mechanism to make a displacement action by using a characteristic tracking point motion track curve;
and the sensor module comprises an acceleration sensor submodule for sensing the acceleration of the movie seat and a piezoelectric wafer submodule for sensing the pressure applied to the movie seat.
Furthermore, the actuating mechanism comprises a slide rail driving mechanism for driving the movie seat to move forwards and backwards, a connecting rod driving mechanism for driving the movie seat to swing, a lifting driving mechanism for driving the movie seat to move up and down, and an electromagnetic vibration mechanism for driving different parts of the movie seat to vibrate.
According to the method, the frequency analysis and the phase curve calculation are carried out on the sound after the noise reduction processing, a basic film audio curve is generated, the annular limited area is selected as a video acquisition area, a characteristic tracking point motion track curve is established, and the matching and the correction with cloud data are completed by reading and analyzing the film audio and video information to be detected, so that the production time of the film seat control data is greatly shortened, the synchronism of motion and pictures is ensured, and the experience effect of the 4D film seat is greatly improved.
Drawings
Fig. 1 and fig. 2 are flowcharts of a 4D movie seat control method provided by an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a 4D movie seat control system provided by an embodiment of the invention;
in the figure: 1. a basic audio feature generation module; 2. an audio decoding module; 3. a cloud audio database; 4. a lens parameter acquisition module; 5. a drive module; 6. a sensor module; 7. and an actuator.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
The structure of the present invention will be described in detail below with reference to the accompanying drawings.
A4D movie seat control method based on a neural network comprises the following steps:
s101, acquiring movie audio, performing frequency analysis and phase curve calculation on the noise-reduced sound to generate a basic movie audio curve, and uploading different basic movie audio curves to a cloud audio database by different basic movie audio curve labels;
s102, selecting an annular limited area as a video acquisition area, selecting a moving point as a characteristic tracking point in video acquisition time, establishing a characteristic tracking point motion trail curve, and uploading motion trail curves of different characteristic tracking points to a cloud video database by using motion trail curve labels of different characteristic tracking points;
s103, reading and analyzing frequency and phase information of the movie audio to be detected, reading and analyzing the motion trail of the feature tracking point of the movie video to be detected, respectively comparing feature similarity with a basic movie audio curve and a feature tracking point motion trail curve in an audio database, entering a fourth step if the feature similarity comparison result is not lower than a preset value, and entering a fifth step if the feature similarity comparison result is lower than the preset value;
s104, directly reading audio information and video information corresponding to a basic movie audio curve label and a characteristic tracking point motion trail curve label of a movie with the highest similarity, acquiring a movie playing time node and matching the movie playing time node with the current movie playing time node, controlling a movie seat to make a vibration action through a basic movie audio curve of the movie, and controlling the movie seat to make a displacement action through a characteristic tracking point motion trail curve of the movie;
s105, reading a basic film audio curve of a film corresponding to the person with the highest similarity comparison result of the basic film audio curves, controlling a film seat to vibrate according to the basic film audio curve, reading a characteristic tracking point motion track curve of the film corresponding to the person with the highest similarity comparison result of the characteristic tracking point motion track curves, controlling the film seat to move according to the characteristic tracking point motion track curve, and correcting the amplitude of the audio curve according to the characteristic tracking point motion track curve;
and S106, reading the weight parameters of the user, the vibration frequency amplitude characteristics and the displacement motion characteristics of the movie chair, and correcting the vibration frequency amplitude characteristics and the displacement motion characteristics through a basic movie audio curve and a characteristic tracking point motion track curve.
The 4D movie seat control method further comprises the following steps:
s201, extracting frequency data within h duration from the current movie audio, and searching audio data with the highest similarity to the frequency data in a cloud audio database;
s202, acquiring audio amplitude data of m adjacent wave peaks and wave troughs of a currently selected movie audio sample, taking the current period as a first period, acquiring data obtained by sampling n-1 continuous periods after the first period in the same way as the first period, and comparing the similarity of the m data of each period in the n-1 periods with the audio data in a cloud audio database;
s203, if the similarity comparison result is larger than a preset value, equating the current movie audio frequency with the audio frequency data in the selected cloud audio frequency database, and performing action control on the movie seat through the audio frequency data in the cloud audio frequency database;
and S204, if the similarity comparison result is not greater than the preset value, modifying the amplitude characteristic of the current movie audio by using the frequency characteristic of the current movie audio and the most similar audio data in the cloud audio database, and then performing action control on the movie seat.
In the embodiment of the invention, the circle center of the annular limited area is taken as a center point, the annular limited area is normalized into a rectangular area, and the intersection point position of the inner edge and the outer edge of the image of the annular limited area is divided into (x)i(θ)，yi(theta)) and (x)0(θ)，y0(θ)) mapping feature tracking points in the annular defined area image into polar coordinates (r, θ) by:
and establishing a characteristic tracking point motion track curve in the polar coordinates.
Searching an audio signal segment with the largest energy deviation in an audio signal to be subjected to noise reduction, taking the audio signal segment as a noise segment, performing spectrum analysis to obtain frequency domain characteristics, taking the frequency domain characteristics as noise characteristics, performing spectrum comparison on the audio signal to be subjected to noise reduction and the noise characteristics, performing spectrum gain processing on the audio signal to be subjected to noise reduction according to a spectrum comparison result, and transmitting different processed audio signals to vibration executing mechanisms at different positions on a movie seat;
the 4D movie seat control system of the embodiment of the invention comprises:
the basic audio characteristic generating module 1 is used for acquiring audio data of different movies and generating different basic action audio frequency amplitude waveforms according to the audio data characteristics;
the audio decoding module 2 is used for acquiring and decoding the audio data of the current movie and uploading the audio data with different frequencies and amplitudes to the cloud audio database;
the cloud audio database 3 is used for storing basic action audio frequency amplitude waveforms, and performing characteristic comparison and matching on the audio data uploaded by the audio decoding module and the basic action audio frequency amplitude waveforms;
the lens parameter acquisition module 4 is used for acquiring selected feature tracking points in the annular limited area, establishing a feature tracking point motion track curve, tracking the position change of all the feature tracking points by using a computer through a video processing algorithm along with the playing of a video of a film, and calculating the motion parameters and the motion tracks of the feature tracking points through the video processing algorithm according to the position change of all the feature tracking points;
the driving module 5 is used for controlling the actuating mechanism to make a vibration action by using a movie audio curve, controlling the actuating mechanism to make a displacement action by using a characteristic tracking point motion trajectory curve, and determining the degree of freedom of motion of a movie seat according to needs after the system identifies the audio frequency of a movie;
and the sensor module 6 comprises an acceleration sensor sub-module for sensing the acceleration of the movie seat and a piezoelectric wafer sub-module for sensing the pressure applied to the movie seat.
The electromagnetic vibration mechanism comprises a right front vibrator, a middle vibrator, a left front vibrator and a low-frequency vibrator, wherein the right surrounding vibrator, the left surrounding vibrator, the right rear surrounding vibrator and the left rear surrounding vibrator are all arranged on the backrest, and the signal decoding driver is arranged on the seat body or is arranged outside the seat body.
According to the method, the frequency analysis and the phase curve calculation are carried out on the sound after the noise reduction processing, a basic film audio curve is generated, the annular limited area is selected as a video acquisition area, a characteristic tracking point motion track curve is established, and the matching and the correction with cloud data are completed by reading and analyzing the film audio and video information to be detected, so that the production time of the film seat control data is greatly shortened, the synchronism of motion and pictures is ensured, and the experience effect of the 4D film seat is greatly improved.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (2)
1. A4D movie seat control system based on a neural network is characterized by comprising:
the basic audio characteristic generating module is used for acquiring audio data of different movies and generating different basic action audio frequency amplitude waveforms according to the audio data characteristics;
the audio decoding module is used for acquiring audio data of the current movie, decoding the audio data and uploading the audio data with different frequencies and amplitudes to the cloud audio database;
the cloud audio database is used for storing basic action audio frequency amplitude waveforms, and performing characteristic comparison and matching on the audio data uploaded by the audio decoding module and the basic action audio frequency amplitude waveforms;
the lens parameter acquisition module is used for acquiring the selected characteristic tracking points in the annular limited area and establishing a characteristic tracking point motion trail curve;
the driving module is used for controlling the actuating mechanism to make a vibration action by using a movie audio curve and controlling the actuating mechanism to make a displacement action by using a characteristic tracking point motion track curve;
the sensor module comprises an acceleration sensor sub-module for sensing the acceleration of the movie seat and a piezoelectric wafer sub-module for sensing the pressure applied to the movie seat;
the system comprises the following specific operation steps:
the method comprises the following steps: acquiring movie audio, performing frequency analysis and phase curve calculation on the noise-reduced sound to generate a basic movie audio curve, and uploading different basic movie audio curves to a cloud audio database by different basic movie audio curve labels;
step two: selecting an annular limited area as a video acquisition area, selecting a moving point as a characteristic tracking point in video acquisition time, establishing a characteristic tracking point motion trail curve, and uploading motion trail curves of different characteristic tracking points to a cloud video database by using motion trail curve labels of different characteristic tracking points;
step three: reading and analyzing the frequency and phase information of the movie audio to be tested, reading and analyzing the motion trail of the feature tracking point of the movie video to be tested, respectively comparing the feature similarity with a basic movie audio curve and a feature tracking point motion trail curve in an audio database, if the feature similarity comparison result is not lower than a preset value, entering a fourth step, and if the feature similarity comparison result is lower than the preset value, entering a fifth step;
step four: directly reading audio information and video information corresponding to a basic movie audio curve label and a characteristic tracking point motion trail curve label of a movie with the highest similarity, acquiring a movie playing time node and matching the movie playing time node with the current movie playing time node, controlling a movie seat to make a vibration action through a basic movie audio curve of the movie, and controlling the movie seat to make a displacement action through a characteristic tracking point motion trail curve of the movie;
step five: reading a basic film audio curve of a film corresponding to the person with the highest similarity comparison result of the basic film audio curves, controlling a film seat to vibrate by using the basic film audio curve, reading a characteristic tracking point motion track curve of the film corresponding to the person with the highest similarity comparison result of the characteristic tracking point motion track curves, controlling the film seat to move by using the characteristic tracking point motion track curve, and correcting the amplitude of the audio curve by using the characteristic tracking point motion track curve;
step six: and reading the weight parameters of the user, the vibration frequency amplitude characteristics and the displacement motion characteristics of the movie chair, and correcting the vibration frequency amplitude characteristics and the displacement motion characteristics through a basic movie audio curve and a characteristic tracking point motion track curve.
2. The 4D movie seat control system according to claim 1, wherein the actuator comprises a slide rail driving mechanism for driving the movie seat to move back and forth, a connecting rod driving mechanism for driving the movie seat to swing, a lifting driving mechanism for driving the movie seat to move up and down, and an electromagnetic vibration mechanism for driving different parts of the movie seat to vibrate.
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