Abstract: A system and method for thought-based control of sexual stimulation devices using electroencephalography. The system and method involve a training phase and an operation phase. In an embodiment, the training phase comprises placing electrodes on the head of a person, measuring electrical signals produced by the person's brain via the electrodes while the user engages in one or more thought-based training tasks, associating patterns of electrical activity in the person's brain while performing the tasks with controls of the sexual stimulation device. In an embodiment, the operation phase comprises generating control signals for the sexual stimulation device based on the associations when the patterns of electrical activity are detected by the electrodes. In some embodiments, machine learning algorithms are used to detect the patterns of electrical activity and make the associations. In some embodiments, data from other biometric sensors is included in the associations.

Abstract: A system and method for automated generation of control signals for sexual stimulation devices from usage history and other data. The system and method involve analyzing historical usage and other data for a user for a device or devices, processing the data through machine learning algorithms, and generating new or recombined patterns of stimulation based on the outputs from the machine learning algorithms. The resulting automated control signals represent partially or fully customized stimulation for a given user which evolve over time as the user continues to use the device or devices.

Abstract: A system and method for controlling the speed of operation of sexual stimulation devices from videos of sexual activity using a less computationally-intensive method of estimating movement speed from a video. In an embodiment, the system and method involve estimating movement in a video using pixel-by-pixel color change over time, calculating a rate of color change in the video, estimating a speed of movement in the video from the rate of color change, and applying an algorithm to convert the estimated speed of movement in the video to a speed of operation of a sexual stimulation device.

Abstract: An adjustable gripper mechanism for male masturbation devices that allows for adjustment in gripper diameter based on individual variations in the girth of penises or based on individual preferences regarding tightness. In a preferred embodiment, the adjustable gripper mechanism comprises a left tubular portion, a right tubular portion, a hinge connecting the two tubular portions on one side of the tubular shape, a screw connecting the two tubular portions on the other side of the tubular shape, and a screw adjustment mechanism allowing for adjustment of the diameter of the tubular shape by turning of the screw. In some embodiments, the screw adjustment mechanism may be motorized, such that the gripper diameter may be adjusted electronically.

Abstract: A system and method for voice-based control of sexual stimulation devices. In some configurations, the system and method involve receiving voice data, analyzing the voice data to detect spoken commands, and generating control signals based on the commands. In some configurations, the system and method involve receiving voice data, analyzing the voice data for non-speech vocalizations, detecting voice stress patterns, and generating control signals based on the detected patterns. In some configurations, the analyses of the voice data are performed by machine learning algorithms which may be trained on associations between speech and non-speech vocalizations of a user while the user engages in one or more voice-based training tasks, associating speech and non-speech vocalizations with controls of the sexual stimulation device. In some configurations, machine learning algorithms are used to make the associations. In some configurations, data from other biometric sensors is included in the associations.

Abstract: A system and method for automated generation of control signals for sexual stimulation devices from videos of sexual activity. The system and method use annotation data indicating comprising indications of movements in the video corresponding to sexual activity to generate control signals for compatible sexual stimulation devices. The annotation data may be generated manually or automatically. Device control signals may be generated directly from the annotation data and synchronized with a video, or may be processed through a series of machine learning algorithms to generate models of “typical” sexual activity represented in the videos, which models are then used to generate signals for the sexual stimulation device.

Abstract: A system and method for biofeedback-based control of sexual stimulation devices involving receiving biometric data, analyzing the biometric data to detect changes in the physiology of a person, and generating control signals based on the changes. In some embodiments, the analyses of the biometric data are performed by machine learning algorithms which may be trained on associations between biometric data of a user, indications of the user's state of arousal, and the state of operation of a sexual stimulation device. In some embodiments, machine learning algorithms are used to make the associations. In some embodiments, biofeedback-based controls may be incorporated into systems of controls comprising thought-based controls and/or voice-based controls.

Abstract: A system and method for adaptive speech and biofeedback control of sexual stimulation devices. In an embodiment, the system and method involve receiving audio from a microphone, processing the audio through an automated speech detection engine to detect speech within the audio, matching the speech to a control command for a sexual stimulation device, generating a control signal for the sexual stimulation device based on the control command, receiving biometric data from a biometric sensor, and adjusting the control signals based on the biometric data before outputting the adjusted control signal for use in operating the sexual stimulation device. In some embodiments, the adjustment to the control signal is made automatically by a machine learning algorithm using the command and biometric data as inputs.

Abstract: A system and method for controlling sexual stimulation devices using motion-sensing controllers. The system comprises a male sexual stimulation device and a motion sensing controller configured to control the operation of the reciprocating linear motion driver. In operation, natural motions of a user with the motion sensing controller result in corresponding motions of the male sexual stimulation device such as reciprocal linear motions and rotational motions.

Abstract: A system and method for voice-based control of sexual stimulation devices. In some configurations, the system and method involve receiving voice data, analyzing the voice data to detect spoken commands, and generating control signals based on the commands. In some configurations, the system and method involve receiving voice data, analyzing the voice data for non-speech vocalizations, detecting voice stress patterns, and generating control signals based on the detected patterns. In some configurations, the analyses of the voice data are performed by machine learning algorithms which may be trained on associations between speech and non-speech vocalizations of a user while the user engages in one or more voice-based training tasks, associating speech and non-speech vocalizations with controls of the sexual stimulation device. In some configurations, machine learning algorithms are used to make the associations. In some configurations, data from other biometric sensors is included in the associations.

Abstract: A male sexual stimulation device that provides a better user experience by combining a mechanical stroking mechanism with a spiraling sleeve that provides rotational stimulation and suctional stimulation to the stroking motion of the mechanical stroking mechanism. The spiraling sleeve is formed at least in part from an elastomeric material with ribbing molded into the interior of the sleeve at an angle to the linear axis of the spiraling sleeve such that elongation or shortening of the spiraling sleeve along the linear axis with a penis inserted therein causes a portion of the sleeve to twist about the linear axis.

Abstract: A system and method for thought-based control of sexual stimulation devices using electroencephalography. The system and method involve a training phase and an operation phase. In an embodiment, the training phase comprises placing electrodes on the head of a person, measuring electrical signals produced by the person's brain via the electrodes while the user engages in one or more thought-based training tasks, associating patterns of electrical activity in the person's brain while performing the tasks with controls of the sexual stimulation device. In an embodiment, the operation phase comprises generating control signals for the sexual stimulation device based on the associations when the patterns of electrical activity are detected by the electrodes. In some embodiments, machine learning algorithms are used to detect the patterns of electrical activity and make the associations. In some embodiments, data from other biometric sensors is included in the associations.

Abstract: A system and method for automated generation of control signals for sexual stimulation devices from usage history and other data. The system and method involve analyzing historical usage and other data for a user for a device or devices, processing the data through machine learning algorithms, and generating new or recombined patterns of stimulation based on the outputs from the machine learning algorithms. The resulting automated control signals represent partially or fully customized stimulation for a given user which evolve over time as the user continues to use the device or devices.

Abstract: A system and method for automated generation of control signals for sexual stimulation devices from usage history and other data. The system and method involve analyzing historical usage and other data for a user for a device or devices, processing the data through machine learning algorithms, and generating new or recombined patterns of stimulation based on the outputs from the machine learning algorithms. The resulting automated control signals represent partially or fully customized stimulation for a given user which evolve over time as the user continues to use the device or devices.

Abstract: A system and method for automated generation of control signals for sexual stimulation devices from videos of sexual activity. The system and method use annotation data indicating comprising indications of movements in the video corresponding to sexual activity to generate control signals for compatible sexual stimulation devices. The annotation data may be generated manually or automatically. Device control signals may be generated directly from the annotation data and synchronized with a video, or may be processed through a series of machine learning algorithms to generate models of “typical” sexual activity represented in the videos, which models are then used to generate signals for the sexual stimulation device.

Abstract: A system and method for creating and sharing synchronized video control data for sexual stimulation devices that allows for automated synchronization with any video of sexual activity and allows for comprehensive personalization and customization of the video selection, synchronization, and sharing experience based on the user's preferences and biometric data.

Abstract: A system and method for automated generation of control signals for sexual stimulation devices from videos of sexual activity. The system and method use annotation data indicating comprising indications of movements in the video corresponding to sexual activity to generate control signals for compatible sexual stimulation devices. The annotation data may be generated manually or automatically. Device control signals may be generated directly from the annotation data and synchronized with a video, or may be processed through a series of machine learning algorithms to generate models of “typical” sexual activity represented in the videos, which models are then used to generate signals for the sexual stimulation device.

Abstract: A system and method for creating and sharing synchronized video control data for sexual stimulation devices that allows for automated synchronization with any video of sexual activity and allows for comprehensive personalization and customization of the video selection, synchronization, and sharing experience based on the user's preferences and biometric data.

Abstract: A wound irrigation device including a container with an opening along the outer surface of the container and a nozzle assembly coupled to the container and configured to selectively allow the liquid to exit the container when pressure is applied to the container.

Abstract: An electromechanical device for male sexual stimulation that uses a reciprocal linear motion similar to sexual intercourse, and wherein the penis remains fully inserted during use. The reciprocal linear motion is generated by a small motor which drives a screw and nut mechanism, to which a bracket and gripper is attached. Inserted into the gripper is a flexible sleeve. A penis may be inserted into the device inside the flexible sleeve. The movement of the gripper and sleeve against the penis provides pressure and motion against the penis inside the sleeve in a manner similar to sexual intercourse. The speed, pattern, and location of the motion can be controlled by the user through controls on the outside of the device.