The present application provides a gait activity learning assistance system and the application method thereof, which comprising a main body, at least one movement detecting module, a control module, at least one driving module and at least one dynamic measurement module. Said system is able to guide and induce users to learn gait autonomously by disposed at least one interlocking unit on at least one limb position, besides, said system is able to measure a dynamic change of at least one the interlocking unit by the at least one dynamic measurement module while user receiving a gait assistance, and send them back to the control module immediately for a real time analysis; therefore, said system could regulate the operation parameter to simulate the rehabilitation of physical therapists.

Described is a system for online characterization of biomechanical and cognitive factors relevant to physical rehabilitation and training efforts. A biosensing subsystem senses biomechanical states of a user based on the output of sensors and generates a set of biomechanical data. The set of biomechanical data is transmitted in real-time to an analytics subsystem. The set of biomechanical data is analyzed by the analytics subsystem, and control guidance is sent through a real-time control interface to adjust the user's motions. In one aspect control guidance is sent to a robotic exoskeleton worn by the user to adjust the user's motions.

In an embodiment, a compression garment can include one or more of a flex frame, a shape memory material, a backing, and a control module. In some variations, the flex frame can include a set of support regions, a set of cutout regions, a set of bridges, one or more terminals, and one or more rotation points. In some variations, the compression garment 100 can further include a fabric sleeve, one or more fasteners, a power module, and/or any other suitable component. The compression garment functions as a compression device (e.g., to improve circulation, enhance muscle recovery, etc.), and can additionally or alternatively function as a passive compression device, a heating and/or cooling device, or perform any other suitable functionality.

A massage chair and a method of operating a massage chair, in which operations are controlled by executing artificial intelligence (AI) algorithms and/or machine learning algorithms in a 5G environment connected for Internet-of-Things. The method of operating a massage chair includes obtaining, from a user terminal, first information corresponding to geographic information generated by the user terminal, obtaining, from the user terminal, second information corresponding to motion information generated by the user terminal, obtaining, from the user terminal, third information corresponding to usage information of the user terminal, generating fourth information as additional information using one or more among the first information, the second information, and the third information, and determining an optimal driving mode with respect to a user of user terminal by using the first information to the fourth information.

Systems and related methods for controlling delivery of a stimulus to a pinna of a subject with a stimulator worn on the pinna are described. A wearable stimulation device includes a mechanical, electrical, or other type of stimulator secured to a pinna of a subject. A personal computing device in communication with the wearable stimulation device controls delivery of stimuli and other aspects of operation of the device. The personal computing device presents various types of information relating to operation and control of the device to a user of the wearable stimulation device. In some aspects recommendations regarding neural stimuli and other stimuli or experiences to be delivered in association with the neural stimuli are provided via a computing system in communication with the personal computing device or the wearable stimulation device.

Disclosed herein are wearable, wireless-enabled biometric sensor systems, methods for manufacturing/operating such biometric sensor systems, and robotic exoskeletons equipped with such biometric sensor systems. A biometric sensor system includes a first biometric subassembly that mounts to an upper-extremity portion of a user's appendage, and a second biometric subassembly that mounts to a lower-extremity portion of the user's appendage. Each biometric subassembly includes a respective biometric sensor that monitors a biometric characteristic of the respective extremity portion of the user appendage and wirelessly outputs a sensor signal indicative thereof. A system central processing unit (CPU), which mounts onto the user, is programmed to receive sensor signals from the biometric sensors, calculate a biometric parameter of the user appendage using biometric characteristics indicated by the received sensor signals, and command a subsystem (e.g., exoskeleton joint assembly motor module) to execute one or more control operations based on the calculated biometric parameter.

A wound or incision closure apparatus comprises a first and second panel. Each of the panels comprises a bottom adhesive layer, a medial substrate layer, and an upper load distribution layer which connect the two panels. A sensory or therapeutic element is disposed adjacent, within, or between two or more of the layers. The sensory or therapeutic element can provide sensing and/or therapy for the incision and/or monitor the incision so that the therapy can be customized and updated.

Compression systems and methods for tightening a garment and/or applying a pressure through the garment may include a garment, a lacing system, and a tightening apparatus. The compression system may be used for tightening the garment about a portion of a body and/or applying pressure to a portion of the body by pressure applying regions of the garment. The lacing system may include lacing guide and at least one lace guided by the lacing guide members. The tightening apparatus may be coupled to the at least one lace and may be configured to apply tension on the at least one lace to tighten the garment about the portion of the body.

An improved dual glove exoskeleton system and method for rehabilitation of stroke victims is provided to increase recovery through optic, neural, and muscular stimulation. The proposed approach employs an algorithm that is configured to determine a degree of dysfunction, of certain extremities, and in particular, an upper extremity. During rehabilitation and recovery, the proposed system is designed to monitor a position of a healthy limb and allow a patient to attempt a mirrored position in a damaged limb. The system and method then completes the movement in an assisted-control manner. The system detects how each finger responds individually to the treatment and chooses an exercise program that is appropriate under the circumstances to further assist with rehabilitation.

A vibration module for applying vibrational tractions to a wearer's skin is presented. Use of the vibration module in headphones is illustrated for providing tactile sensations of low frequency for music, for massage, and for electrical recording and stimulation of the wearer. Damped, planar, electromagnetically-actuated vibration modules of the moving magnet type are presented in theory and reduced to practice, and shown to provide a substantially uniform frequency response over the range 40-200 Hz with a minimum of unwanted audio.