A flower-shaped massager includes an outer sleeve, and a lower shell and an upper shell inside. The lower shell is provided with a key switch and a circuit board. A driving mechanism electrically connected with the battery, the key switch and the circuit board is provided in the lower shell. The driving mechanism includes a motor and a swing member. An output shaft of the motor is connected with an eccentric wheel. An eccentric shaft of the eccentric wheel is connected with a connecting rod. One end of the connecting rod is connected with the swing member. The swing member is connected with a swing head inserted into a swing core. The motor is capable of driving the swing member together with swing core to swing back-and-forth under by the eccentric wheel and the connecting rod so as to realize either a massage function or a viewing function.

A mixed reality system for displaying virtual holograms using a head mounted display and a tracking device. The HMD has one or more cameras mounted on its exterior connected to a portable computing device. The cameras record what a user's eyes would see in the environment and project the images onto the screen panel display. The cameras also transmit tracking device data to a software application installed on a portable computing device. Light emitting diodes serve as tracking points for the detection algorithm. The tracking device can be configured to transmit data to the portable computing device via optical modulation. Less private radio frequency technologies can be employed such as Bluetooth or WiFi to enable one-way or two-way communication. In some embodiments, multiplexing can be implemented to enable identifying and differentiating multiple tracking devices in a single frame.

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.

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.

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.

A sex toy collects a body fluid and/or cells as present in a genital, especially in a female vagina, for a diagnostic test, especially an in-vitro diagnostic test and/or a biomarker test. The sex toy includes a housing having at least one sampling port leading into at least one sampling channel for collecting a sample of body fluid and/or cells through the sampling port and the sampling channel inside the housing. The sex toy includes a test module adapted for analyzing and/or screening and/or monitoring diagnostic parameters of a collected sample body fluid and/or cells with medical implications as well as general health and lifestyle parameters. The test module includes comprising at least a first analyzing unit for carrying out a diagnostic test.

An adult toy article including a main body including a rear, central and front portions and defining a tip end and a rear end, and including an inner body and an outer body overlaying at least a portion of the inner body, each of the inner body and outer body defining a rear, central and front portion corresponding to the rear, central and front portion of the main body. The central portion of the inner body may define at least in part an elongated shape. The front portion of the inner body may define a tapering cone-shape with a rounded front end. The outer body may overlay at least a portion of the inner body, the outer body being sufficiently transparent to view at least a portion of the inner body there through.

A robotic haptic stimulator comprises a robotic mount which is configured to move a haptic stimulation device. The robotic mount can preferably move the haptic stimulation device in three-dimensional space. Movement in the x, y and/or z directions may be independently controlled and may be referenced to a designated point or position that may be associated with the human body. Lidar may be used to obtain information regarding the location/distance of one or more parts of a user for use in controlling the position of the haptic stimulation device. Movement of the haptic stimulation device may emulate movement of other objects and/or be synchronized to video or sound.

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 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.