Control method, analysis method, and control system for cross-category sexual stimulation devices

1 . A control method for cross-category sexual stimulation devices, comprising:

in response to a first user's operation of selecting a target waveform graph, acquiring a waveform description file of the target waveform graph, wherein the waveform description file is generated after parsing the target waveform graph by a first AI model and represents phased experiential characteristics corresponding to the target waveform graph, and the target waveform graph is uploaded by a second user and represents a sexual stimulation process of using a second sexual stimulation device by the second user;

acquiring device characteristics of a first sexual stimulation device of the first user, wherein the first sexual stimulation device and the second sexual stimulation device are sexual stimulation devices of a same category or different categories;

matching the waveform description file with the device characteristics of the first sexual stimulation device through a second AI model to generate a control instruction; and

sending the control instruction to the first sexual stimulation device to execute stimulation.

2 . The control method for cross-category sexual stimulation devices according to claim 1 , wherein the waveform description file of the target waveform graph is obtained by the following steps comprising:

parsing the target waveform graph through the first AI model to extract parameter characteristics of the target waveform graph; and

generating the waveform description file of the target waveform graph based on the parameter characteristics of the target waveform graph.

3 . The control method for cross-category sexual stimulation devices according to claim 2 , wherein the parameter characteristics of the target waveform graph comprise at least one of a rhythm mode, a numerical contour, and an action mode.

4 . The control method for cross-category sexual stimulation devices according to claim 3 , wherein the rhythm mode comprises at least one of a continuous mode, a pulse mode, a wave mode, a variable frequency mode, a ramp-up mode, or a ramp-down mode.

5 . The control method for cross-category sexual stimulation devices according to claim 3 , wherein the action mode comprises at least one of vibration, kneading, tapping, rolling, acupressure, sucking, squeezing, swinging, and telescoping.

6 . The control method for cross-category sexual stimulation devices according to claim 2 , further comprising:

receiving a usage experience description from the first user; and

optimizing the first AI model based on the usage experience description.

7 . The control method for cross-category sexual stimulation devices according to claim 1 , wherein the device characteristics comprise functional features and stimulation intensity parameters; and

the functional features comprise a rhythm mode and an action mode.

8 . The control method for cross-category sexual stimulation devices according to claim 7 , wherein the matching the waveform description file with the device characteristics of the first sexual stimulation device through the second AI model to generate the control instruction comprises:

inputting the waveform description file and the device characteristics of the first sexual stimulation device into the second AI model to determine a time rhythm, a stimulation action, and a stimulation intensity of the first sexual stimulation device that match the waveform description file; and

generating the control instruction based on the matched time rhythm, stimulation action, and stimulation intensity.

9 . The control method for cross-category sexual stimulation devices according to claim 8 , wherein the phased experiential characteristics comprise experiential characteristics of N phases, and N is a positive integer greater than or equal to 2;

the matching the waveform description file with the device characteristics of the first sexual stimulation device through the second AI model to generate the control instruction comprises:

inputting the waveform description file and the device characteristics of the first sexual stimulation device into the second AI model to determine the time rhythm, the stimulation action, and the stimulation intensity of the first sexual stimulation device that match each phase of the N phases;

determining a control strategy for the N phases based on the time rhythm, the stimulation action, and the stimulation intensity that match each phase of the N phases; and

generating the control instruction based on the control strategy for the N phases.

10 . The control method for cross-category sexual stimulation devices according to claim 9 , wherein N is four; and

the four phases comprise a foreplay phase, a plateau phase, an orgasm phase, and a resolution phase.

11 . The control method for cross-category sexual stimulation devices according to claim 1 , wherein the matching the waveform description file with the device characteristics of the first sexual stimulation device through the second AI model to generate the control instruction comprises:

acquiring parameter characteristics of the target waveform graph; and

inputting the parameter characteristics of the target waveform graph, the waveform description file, and the device characteristics of the first sexual stimulation device into the second AI model to generate the control instruction;

wherein the parameter characteristics of the target waveform graph comprise at least one of a rhythm mode and an action mode; and

the device characteristics of the first sexual stimulation device comprise at least one of a rhythm mode and an action mode.

12 . The control method for cross-category sexual stimulation devices according to claim 11 , wherein the inputting the parameter characteristics of the target waveform graph, the waveform description file, and the device characteristics of the first sexual stimulation device into the second AI model to generate the control instruction comprises:

associating the parameter characteristics of the target waveform graph with the device characteristics of the first sexual stimulation device through the second AI model to determine device characteristics that meet parameter conditions; and

generating the control instruction by combining the device characteristics that meet parameter conditions and the waveform description file;

wherein the device characteristics that meet parameter conditions are determined in the following manner: when the device characteristics of the first sexual stimulation device comprise the same parameter characteristics in the target waveform graph, the device characteristics are directly adopted; and

when the device characteristics of the first sexual stimulation device do not comprise the same parameter characteristics in the target waveform graph, the device characteristics that meet parameter conditions are determined based on a similarity calculation.

13 . The control method for cross-category sexual stimulation devices according to claim 12 , wherein the determining the device characteristics that meet parameter conditions based on the similarity calculation comprises:

determining the device characteristics that meet parameter conditions based on a similarity between the device characteristics of the first sexual stimulation device and target parameter characteristics in the target waveform graph.

14 . The control method for cross-category sexual stimulation devices according to claim 12 , wherein the determining the device characteristics that meet parameter conditions based on the similarity calculation comprises:

determining the device characteristics that meet parameter conditions based on a similarity between the device characteristics of the first sexual stimulation device and the waveform description file.

15 . The control method for cross-category sexual stimulation devices according to claim 11 , wherein the acquiring parameter characteristics of the target waveform graph comprises:

parsing the target waveform graph through the first AI model to extract the parameter characteristics of the target waveform graph.

16 . The control method for cross-category sexual stimulation devices according to claim 1 , wherein the first AI model and the second AI model belong to the same AI model.

17 . The control method for cross-category sexual stimulation devices according to claim 1 , further comprising:

acquiring an operating parameter of the first sexual stimulation device, wherein the operating parameter comprises at least one of a battery level and a temperature; and

optimizing the control instruction based on the operating parameter of the first sexual stimulation device.

18 . The control method for cross-category sexual stimulation devices according to claim 1 , wherein the phased experiential characteristics comprise a time parameter of each phase of N phases, wherein N is a positive integer greater than or equal to 2, and for each phase of the N phases, the time parameter is used to describe a duration of the phase; and

correspondingly, the control instruction comprises a time instruction for controlling the duration of each phase of the first sexual stimulation device to be the same as a duration of a corresponding phase in the target waveform graph.

19 . A waveform analysis method for cross-category sexual stimulation devices, comprising:

acquiring a waveform graph uploaded by a user, wherein the waveform graph represents a sexual stimulation process of using a sexual stimulation device by the user;

parsing the waveform graph through a first AI model to extract parameter characteristics of the waveform graph;

generating a waveform description file of the waveform graph based on the parameter characteristics of the waveform graph, wherein the waveform description file represents phased experiential characteristics corresponding to the waveform graph; and

binding the waveform description file of the waveform graph with the waveform graph.

20 . A waveform control system for cross-category sexual stimulation devices, comprising:

a service platform configured to display waveform graphs uploaded by different users, wherein the waveform graphs represent sexual stimulation processes of using sexual stimulation devices by the different users; and

a plurality of terminal devices, configured to acquire a waveform description file of a target waveform graph in response to a target user's operation of selecting the target waveform graph, wherein the waveform description file is generated after parsing the target waveform graph by a first AI model and represents phased experiential characteristics corresponding to the target waveform graph; acquire device characteristics of a sexual stimulation device of the target user, wherein the target user's sexual stimulation device and a sexual stimulation device corresponding to the target waveform graph are sexual stimulation devices of the same category or different categories; match the waveform description file with the device characteristics of the target user's sexual stimulation device through a second AI model to generate a control instruction; and send the control instruction to the target user's sexual stimulation device to execute stimulation.