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 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 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 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 method for correcting a massage position and a massage chair for performing the same includes allowing a shoulder height measurement module to measure a shoulder height of a user, allowing a hip bone position prediction module to predict a hip bone position through a preset prediction method by using the shoulder height measured by the shoulder height measurement module, allowing a massage position determination module to determine a plurality of determination massage positions and a plurality of correction massage positions spaced from the determination massage positions by a predetermined distance on the basis of the hip bone position predicted by the hip bone position prediction module, and allowing a massage ball assembly control module to control a massage ball assembly so as to massage the determination massage positions and the correction massage positions determined by the massage position determination module.

A communication robot for operating a massage providing apparatus by executing an artificial intelligence algorithm (AI) and/or machine learning algorithm in a 5G environment connected for the Internet of things and a method for operating the communication robot are provided. The method for operating the communication robot may include acquiring a spoken utterance of a user positioned within a prescribed range from the massage providing apparatus, tracking a spoken utterance direction of the user from the spoken utterance of the user, orienting the communication robot towards the spoken utterance direction of the user, acquiring a voice command included in the spoken utterance in relation to operation of the massage providing apparatus, and operating the massage providing apparatus according to the voice command.

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 percussive therapy system that includes a percussive massage device including a network interface, and an intelligence engine. The intelligence engine is configured to receive manual capture data and real-time tracking data from the percussive massage device, receive remote data from a remote data source, and generate recommendation data comprising a recommended protocol to be performed by the percussive massage device. The recommendation data is generated from demographic, activity, temporal, analytics, and biometric data, received from the manual capture data, the real-time tracking data, and the remote data inputs.

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.

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.