A multi-sensory media experience delivery platform includes a vibroacoustic therapy bed that delivers a multi-sensory media experience locally stored, streaming, on-demand, or real-time signals. The vibroacoustic therapy bed drives a plurality of sensory output devices based on a set of sensory output channels to produce sounds, vibrations, light patterns, or other sensory outputs. The channels may be derived from dedicated signals created for a specific sensory output device or may be derived from an audio file or other general set of waveforms. The multi-sensory media experience may be customized to a user based on user profile data, metadata associated with the multi-sensory media experience, or biometric data. Furthermore, users can create customized multi-sensory media experiences from libraries of sounds or other media.

A walking assistance apparatus includes a frame configured to be mounted on a lower leg of a user, a sole support connected to the frame and configured to support a lower side of a foot of the user, an actuator mounted on the frame, and a pusher configured to receive a power from the actuator and push the ground.

A method and device for controlling a walking assist device is disclosed. The method includes determining a first state variable for a gait state of a user wearing the walking assist device based on a gait of the user, obtaining a second state variable which is smoothed and time-delayed from the first state variable, obtaining a third state variable by applying a torque control variable to the second state variable, and determining an assist torque to be provided by the walking assist device based on the obtained third state variable.

A wearable device and an exercise support method performed by the wearable device are disclosed. The exercise support method includes receiving exercise setting information associated with a lower body muscle that is selected by a user input, determining a torque profile to be applied to the wearable device based on the received exercise setting information, and operating an actuator of the wearable device based on the determined torque profile.

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 spinal decompression system comprising an anchor portion and a working portion operatively coupled to the anchor portion. The anchor portion is adapted to anchor the spinal decompression system to a mechanical ground. The anchor portion comprises an anchor strap. The spinal decompression system comprises a pair of arm supports to support a user's arms in a raised position. The pair of arm supports are operatively coupled to the anchor strap to form a load path from the pair of arm supports to the anchor strap. A load cell is disposed in the load path to sense an applied load applied by the pair of arm supports. The pair of arm supports have an adjustable height to adjust the spinal decompression system to apply a desired load to the users arm to unload at least a portion of the user's bodyweight.

Systems and methods of assisting a subject to reach a target state of sexual arousal include obtaining input of the target state of the subject; and generating a transcutaneous vibratory output to be applied to a portion of a body of the subject to assist the subject in achieving the target state of sexual arousal, the transcutaneous vibratory output having variable parameters comprising a perceived pitch, a perceived beat, and a perceived intensity wherein the step of generating the transcutaneous vibratory output further comprises the step of modifying the variable parameters to correspond to the target state.

A smart walking stick made up of main parcels including the upper body forming the upper body and the lower body elements forming the lower body. With the aim of positioning the hand correctly for the visually impaired user, sensors are provided, which contain technological elements such as soft-grip upper gripping surface and the lower gripping surface, touch mouse, vibration motors and a smart module that allows the user freedom of movement. A folding bar forms the stick portion of the movement-releasing smart walking stick which can be replaced by a snap-fit method, with the motion-liberating smart walking stick this allows the visually impaired user to easily, safely and comfortably navigate with location information, which increases the freedom of movement, to detect and protect the obstacles in front of the movement, and to maintain a more ergonomic life.

The present disclosure is relates to an orthosis device. The orthosis device, in one embodiment, includes an actuator housing, and an electric motor coupled to the actuator housing, the electric motor including a motor stator and a motor rotor, and the electric motor further having high output torque. The orthosis device, in this embodiment, further includes a low-ratio transmission coupled to the actuator housing, the transmission including a gear system coupled to the actuator housing, and a drive system coupling the electric motor and the gear system, wherein a combination of the electric motor and transmission provide a user backdrivable orthosis device.

The present invention provides a human-computer interactive rehabilitation system, which can automatically calculate rehabilitation strength suitable for the patient, so that it is not necessary to manually evaluate and adjust the parameter settings in human-computer interactive rehabilitation system when different patients use it. At the same time, the human-machine interactive rehabilitation system and the hospital end can track the rehabilitation status and intervene through the data platform at any time. The platform establishes a cloud community feedback and encouragement mechanism, and immediately transmits the rehabilitation results to the designated barriers of the patients, provides patient encouragement feedback, and strengthens the community interaction and linkage in the medical relationship.