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 computer-implemented system may include an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and a processing device configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac condition or a cardiac outcome, generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability of a cardiac intervention for the user, and transmit the treatment plan to cause the electromechanical machine to implement the one or more exercises.

A walking training system includes: a tension unit that pulls a leg of a trainee upward and forward; a sensor provided for determining a start timing of a swinging end phase of the leg; and a control unit that reduces a tensile force of the tension unit from the start timing of the swinging end phase.

The present disclosure describes systems and methods for improving binocular vision, which generate a virtual image moving between two different depths to stimulate and then strengthen the weaker/abnormal eye of the viewer to eventually improve or even restore his/her binocular vision based on the viewer's eye information. The system comprises an eye tracking module and a virtual image module. The eye tracking module is configured to provide eye information of the viewer. The virtual image module configured to display a first virtual object by projecting multiple normal light signals to a viewer's first eye to form a normal image and corresponding multiple adjusted light signals to a viewers second eye to form an adjusted image.

The invention relates to an adult choke pleasure enhancement adjustable pressure cuff device. Participants can engage in solo autoerotic asphyxiation (AEA) without accidentally suffocating to death. The adjustable cuff is inflatable and sized to encompass a participant's neck and has a timed safety release function. The participant can apply the device at default setting to fit snugly, but not impede blood flow. The participant can inflate the device to the desired level of pressure that would remain at that setting at participant's discretion. They can control what happens and for how long, as long as the participant is not incapacitated. However, if at any time, the controls/settings are not engaged by the participant, the device would automatically default to zero pressure after a set time. The use of the device therefore allows a participant to safely engage in solo AEA without risking injury or death.

A robotic walking assistant includes a wheeled base having a base and one or more position adjustable wheels connected to the base, a body disposed in a vertical direction, positioned on the wheeled base and having a handle, and a control system that receives command instructions. Each of the one or more wheels is slidable with respect to the base between a retracted position and an extended position in a direction that is substantially parallel to a surface where the wheeled base moves. In response to the command instructions, the control system moves the one or more wheels between the retracted positions and the extended positions.

A method for optimizing at least one exercise. An exercise apparatus is configured to enable a user to perform the at least one exercise. The method includes receiving user data. The method includes generating, based on the user data, initial target data. The method includes receiving measurement data associated with one or more sensors. The method includes determining, differential data. The determining is based on one or more differences between the initial target data and the measurement data. The method includes receiving cohort data. The method includes generating, via an artificial intelligence engine and based on the differential data, a machine learning model trained to generate message data based on a difference between the differential data and the cohort data. The method includes transmitting, to an interface associated with a user, a message to the user based on the message data.

A method includes receiving treatment data associated with a user capable of using a treatment device to perform a treatment plan. The method also includes receiving alignment data associated with the user while the user engages in at least one activity and receiving at least one alignment characteristic associated with the user and determining, using at least the at least one alignment characteristic, whether the at least one alignment characteristic correlates with at least one secondary condition of the user. The method also includes generating secondary condition information indicating at least the secondary condition and modifying at least one aspect of the treatment plan in response to receiving, from a healthcare professional, treatment plan input. The treatment plan input includes at least one modification to the at least one aspect of the treatment plan and wherein, further, the treatment plan input is generated based on the secondary condition information.

A handheld electro-mechanical walking aid operably configured to detect objects or obstacles in an ambient environment and guide the user away from the detected obstacles and comprising a handle member for grasping, an electronic motor assembly, a cantilevered guide arm member operably coupled to at least one electronic motor and having an arm weight and a concentrated weight of at least approximately 0.2 lbs, at least one of a distance sensor and a camera operably configured to detect objects spatially displaced from a second free end of the arm member, and an electronic controller operably configured to receive detection of the objects spatially displaced from the second free end and cause selective rotation of the arm member in a direction away from the detected objects to generate a deviation angle θ, thereby causing an impetus to the user holding the handle member through a torque generated by the arm weight.

Disclosed is a rehabilitation training apparatus. The rehabilitation training apparatus includes a pair of first tracks formed parallel to each other along first axis, a second track disposed on the pair of first tracks, and moving along the first axis, and formed along second axis, a hand holder disposed on the second track, and moving along the second track, and on which at least one of hand and arm of a user is held, a stopper for a track disposed on the pair of first tracks for limiting a movement range of the second track, and a stopper for a holder disposed on the second track for limiting a movement range of the second pair of first tracks, wherein the first axis and the second axis are disposed with an inclination.