Granted Patent B2

US 12,268,646 · App. 18/754,742 · Granted Apr 8, 2025

Inventors: Dan Liu (Guangzhou, CN); Jilin Qiu (Guangzhou, CN)

Assignee: HYTTO PTE. LTD.

A61H19/00G05B13/0265A61H2201/5005A61H2201/501A61H2201/5043A61H2201/5048A61H2201/5097

Abstract

Claims (71)

1. A computer-implemented method, comprising:

facilitating, by a server system, communication between at least one user device associated with a user and a sexual stimulation device associated with the user via an application equipped in the at least one user device;

performing, by the server system, selection of one or more target video frames of a video comprising sexual content being displayed in the at least one user device, wherein the one or more target video frames are selected based at least on performing a real-time analysis of the sexual content in the video;

extracting, by the server system, at least two body features from the one or more target video frames of the video based at least on one or more artificial intelligence (AI) models;

determining, by the server system, a target body feature based on comparing predefined weights of the at least two body features;

tracking, by the server system, motion information of the target body feature;

generating, by the server system, a control signal comprising parameters corresponding to the motion information of the target body feature; and

transmitting, by the server system, the control signal in real time to the at least one user device for operating the sexual stimulation device to provide sexual stimulation to the user corresponding to the motion information of the target body feature.

2. The computer-implemented method as claimed in claim 1 , further comprising:

rendering, by the server system, one or more selection areas that indicate one or more body parts in the sexual content in the video, based at least on the one or more artificial intelligence (AI) models.

3. The computer-implemented method as claimed in claim 2 , wherein the at least two body features are extracted from the one or more selection areas in the one or more target video frames.

4. The computer-implemented method as claimed in claim 1 , further comprising:

determining, by the server system, a sexual content scene from the one or more target video frames of the video based at least on the one or more artificial intelligence (AI) models; and

determining, by the server system, weights of each body feature based on the determined sexual content scene.

5. The computer-implemented method as claimed in claim 1 , further comprising:

determining, by the server system, a frame type of the one or more target video frames of the video based at least on the one or more artificial intelligence (AI) models, wherein the frame type includes at least a long shot frame and a close shot frame; and

determining, by the server system, weights of each body feature based on the determined frame type.

6. The computer-implemented method as claimed in claim 1 , further comprising:

rendering, by the server system, an indication icon indicating to the user that the video rendered in the at least one user device is being monitored in real-time.

7. The computer-implemented method as claimed in claim 1 , further comprising:

facilitating, by the server system, a connection with a third-party video streaming platform that renders the video comprising the sexual content on a first user device of the at least one user device;

generating, by the server system, the control signal based on real-time analysis of the sexual content of the video rendered in the first user device; and

transmitting, by the server system, the control signal to a second user device of the at least one user device for operating the sexual stimulation device to provide sexual stimulation to the user.

8. The computer-implemented method as claimed in claim 1 , further comprising:

facilitating, by the server system, a live stream broadcast of sexual content created by a content creator as the video comprising sexual content displayed in the at least one user device;

generating, by the server system, the control signal based on performing a real-time analysis of actions performed by the content creator in the live stream broadcast; and

transmitting, by the server system, the control signal to the at least one user device for operating the sexual stimulation device to provide sexual stimulation to the user corresponding to the actions performed in the live stream broadcast by the content creator.

9. The computer-implemented method as claimed in claim 1 , wherein the one or more artificial intelligence (AI) models are trained with a training data, the training data comprising at least sexual content data, control signals data, audio data corresponding to sexual content, and feature points.

10. The computer-implemented method as claimed in claim 1 , further comprising:

predicting, by the server system, a subsequent set of target video frames based at least on the one or more target video frames, wherein the subsequent set of target video frames is predicted based on the one or more artificial intelligence (AI) models implementing prediction algorithms;

generating, by the server system, the control signal in real-time for a time window corresponding to the subsequent set of target video frames; and

updating, by the server system, a training data based on the control signal associated with the one or more target video frames and the predicted subsequent set of target video frames.

11. The computer-implemented method as claimed in claim 1 , further comprising:

determining, by the server system, a first set of visual features corresponding to an erotic factor in the video; and

performing, by the server system, selection of video frames comprising the first set of visual features in the video as the one or more target video frames,

wherein determining the first set of visual features corresponding to the erotic factor in the video and performing selection of the one or more target video frames in the video are based at least on the one or more artificial intelligence (AI) models implementing a deep learning technique.

12. The computer-implemented method as claimed in claim 11 , further comprising:

determining, by the server system, a second set of visual features corresponding to motion information of at least characters of the sexual content in the one or more target video frames of the video based at least on the one or more artificial intelligence (AI) models implementing a cyclic neural network; and

determining, by the server system, the parameters for the control signal corresponding to at least the first set of visual features and the second set of visual features,

wherein the parameters of the control signal corresponding to the first set and the second set of visual features comprise at least one of a type of sexual stimulation device, amplitude, and frequency.

13. The computer-implemented method as claimed in claim 11 , further comprising:

identifying, by the server system, a frame type of the one or more video frames of the sexual content in the video, the frame type comprising at least a long shot frame and a close shot frame;

determining, by the server system, a second set of visual features in the one or more video frames based at least one or more feature detection techniques associated with the one or more artificial intelligence (AI) models; and

computing, by the server system, a change in position of feature points between consecutive video frames of the sexual content in the video associated with the second set of visual features in the one or more target video frames.

14. The computer-implemented method as claimed in claim 13 , wherein a type of sexual stimulation device associated with the control signal is determined to be at least one of a female sexual stimulation device and a male sexual stimulation device based on visual features related to a gender of characters in the sexual content of the video.

15. A server system, comprising:

a communication interface;

a memory storing executable instructions; and

a processor operatively coupled with the communication interface and the memory, the processor configured to execute the executable instructions to cause the server system to at least:

facilitate communication between at least one user device associated with a user and a sexual stimulation device associated with the user via an application equipped in the at least one user device;

perform selection of one or more target video frames of a video comprising sexual content being displayed in the at least one user device, wherein the one or more target video frames are selected based at least on performing a real-time analysis of the sexual content in the video;

extract at least two body features from the one or more target video frames of the video based at least on one or more artificial intelligence (AI) models;

determine a target body feature based on comparing predefined weights of the at least two body features;

track motion information of the target body feature;

generate a control signal comprising parameters corresponding to the motion information of the target body feature; and

transmit the control signal in real time to the at least one user device for operating the sexual stimulation device to provide sexual stimulation to the user corresponding to the motion information of the target body feature.

16. The server system as claimed in claim 15 , wherein the executable instructions further cause the server system to:

obtain audio information from the one or more target video frames comprising the sexual content;

extract one or more acoustic feature parameters from the audio information, the one or more acoustic feature parameters comprising acoustic category, decibel, tone, periodicity, or semantics; and

determine the parameters for the control signal corresponding to the acoustic feature parameters, wherein the parameters of the control signal corresponding to the acoustic feature parameters comprise a type of sexual stimulation device and at least one of amplitude and frequency,

wherein determining the parameters for the control signal further comprises determining an update value for the at least one of the amplitude and the frequency based on performing a comparison of the one or more acoustic feature parameters with one or more preset values defined for at least the type of sexual stimulation device and the at least one of the amplitude and the frequency.

17. The server system as claimed in claim 15 , wherein the executable instructions further cause the server system to:

render, by the server system, one or more selection areas that indicate one or more body parts in the sexual content in the video, based at least on the one or more artificial intelligence (AI) models.

18. The server system as claimed in claim 17 , wherein the executable instructions further cause the server system to:

extract the at least two body features from the one or more selection areas in the one or more target video frames.

19. The server system as claimed in claim 15 , wherein the executable instructions further cause the server system to:

determine a sexual content scene from the one or more target video frames of the video based at least on the one or more artificial intelligence (AI) models; and

determining weights of each body feature based on the determined sexual content scene.

20. The server system as claimed in claim 15 , wherein the executable instructions further cause the server system to:

determine a frame type of the one or more target video frames of the video based at least on the one or more artificial intelligence (AI) models, wherein the frame type includes at least a long shot frame and a close shot frame; and

determine weights of each body feature based on the determined frame type.

Assignments (1)

Continuity (2)

References Cited (9)