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.

A massage device for use in a seat including at least one massage head, which is configured to provide a massage function in at least one sub-region of a seat, and a sensor device, which is configured to detect a contact of the seat by a user in the at least one sub-region of the seat. The massage device is configured to actuate the massage head at least in part depending on a sensor signal which is generated by the sensor device and which indicates a contact by the user in the at least one sub-region of the seat.

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.

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.

Smart spa shower column, including a compartment containing a roller) which cleans it by pressure by a perforated tube and which is located in the lower part of a chassis that houses a motor and a spindle that provides vertical movement to a roller that is attached to the chassis by arms, one of which houses a motor which gives rotation to the roller and the other arm houses a mechanism for locking the roller in its stop position and a tube that provides water and/or soap to the roller; and where the chassis houses an electronic control unit and a power supply battery. The chassis is solidly attached at the top to a shower system which incorporates a dispenser and a presence sensor.

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.

A system and method for thought-based control of sexual stimulation devices using electroencephalography. In an embodiment, a 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, an 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.

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.

Spinal support devices and methods of use. Support devices have a base unit, a neck support unit defining a first end, an upper thigh support unit defining a second end, and a mid-back support unit positioned between said neck and upper thigh support units, wherein the neck, upper thigh, and mid-back support units each have a convex shaped topside with an apex that is configured to align within designated concave shaped areas on the user's backside.

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.