The present disclosure discloses an exoskeleton for rehabilitation, comprising: a healthy-side exoskeleton, an affected-side exoskeleton, a first sensor, a control unit, and a driving device, wherein the first sensor is configured to detect a pressure received by the shoe sole and generate a first electrical signal, the control unit is configured to judge, according to the first electrical signal, whether to generate the first control signal, and the driving device is configured to drive the affected-side exoskeleton according to the first control signal. When a shoe sole is not landed steadily, the affected-side exoskeleton does not drive the affected side to step out, thereby avoiding the problem that the affected side takes a step when the healthy side does not stand firm. Therefore, the present exoskeleton for rehabilitation has the advantages of better controlling for limb coordination and having higher using safety.

An assist device includes a first body-worn unit, a second body-worn unit, a belt body, an actuator, and a controller. The actuator includes a pulley and a motor that causes the pulley to reel and unreel a part of the belt body. The controller is configured to execute a mode switching process of switching a control mode of the motor to one a restriction mode in which a maximum rotation speed of the motor is restricted to a predetermined rotation speed and a normal mode in which the motor is operated within a rotation speed range higher than the predetermined rotation speed.

Upper arms are fixed to drive shafts of a pair of drive sources at or near respective left and right hip joints. The upper arms are coupled to an upper body trunk harness by first passive rotary shafts via third passive rotary shafts, and are mounted to a lower body trunk harness by a mounting device. Lower arms are fixed to drive source bodies, and are coupled to thigh harnesses by second passive rotary shafts via fourth passive rotary shafts. The first and second passive rotary shafts and third and fourth passive rotary shafts are angularly displaceable about axial lines in a lateral direction of the wearer and axial lines in an anteroposterior direction of the wearer, respectively. An acceleration/angular speed sensor fixed to the lower body trunk harness detects an acceleration of the body trunk in a vertical direction by landing of a foot.

A robot system for active and passive upper limb rehabilitation training based on a force feedback technology includes a robot body and an active and passive training host computer system. Active and passive rehabilitation training may be performed at degrees of freedom such as adduction/abduction and flexion/extension of left and right shoulder joints, and flexion/extension of left and right elbow joints according to a condition of a patient. In a passive rehabilitation training mode, the robot body drives the upper limb of the patient to move according to a track specified by the host computer, to gradually restore a basic motion function of the upper limb. In an active rehabilitation training mode, the patient holds the tail ends of the robot body with both hands to interact with a rehabilitation training scene, and can feel real and accurate force feedback.

Disclosed is a system for correcting a passenger's posture in an autonomous vehicle, wherein the system includes a camera configured to measure a distance between a headrest and a head of the passenger, a plurality of body pressure sensors configured to be uniformly embedded across an entire area of the seat and sense body pressures of the passenger, a pressurizing device configured to be expandably installed inside a seatback and press between T10 and T12 of a thoracic spine of the passenger, and a controller configured to control an operation of the pressurizing device on the basis of the distance measured by the camera and a scapular pressure of the passenger, which is sensed by the plurality of body pressure sensors.

A wearable device is disclosed. The wearable device may process a state variable defined based on motion information of a user, determine an interactive mode of the wearable device based on a gain associated with a magnitude of a torque of the wearable device, select a motion type from among motion types of the determined interactive mode based on a gait parameter of the user, determine a control factor for the torque based on the selected motion type, and generate the torque based on the processed state variable, the gain, and the determined control factor.

A robot system for active and passive upper limb rehabilitation training based on a force feedback technology includes a robot body and an active and passive training host computer system. Active and passive rehabilitation training may be performed at degrees of freedom such as adduction/abduction and flexion/extension of left and right shoulder joints, and flexion/extension of left and right elbow joints according to a condition of a patient. In a passive rehabilitation training mode, the robot body drives the upper limb of the patient to move according to a track specified by the host computer, to gradually restore a basic motion function of the upper limb. In an active rehabilitation training mode, the patient holds the tail ends of the robot body with both hands to interact with a rehabilitation training scene, and can feel real and accurate force feedback.

The disclosed systems and methods improve human performance in time-sensitive activities by manipulating human energy systems to allow a practitioner to clear mental and physical blockages. Some embodiments include a method that creates a profile for the practitioner; conducts a characterization process to determine the type of blockage and activity for the practitioner; selects a training session comprised of modalities that help the practitioner neutralize the identified blockages; and guides the practitioner through the training session. Other embodiments include a system that comprises a software application configured to operate on a computing device. The application creates a user profile for a practitioner; conducts an inquiry to determine the type of activity and blockage facing the practitioner; selects a training session from a library of stored modalities and sequences; and guides the practitioner through the training session. Some embodiments solicit feedback to rate the effectiveness of the training session.

An assist device includes: a first harness to be fitted to at least one of a shoulder region and a breast region of a user; a second harness configured to be fitted to one of a leg region and a waist region, of the user; a belt body provided so as to extend to the first harness and to the second harness along a back side of the user; an actuator provided in one of the first harness and the second harness; and a controller performs operation control of the actuator. The actuator winds a part of the belt body and unwinds the part of the belt body. The controller performs the operation control of the actuator based on a posture change of the user.

Provided is a method and device for assisting walking of a user that may receive a pressure value applied to a sole of a user from a pressure sensor, acquire acceleration information associated with a movement of the user from an acceleration sensor, determine a gait phase based on the pressure value and the acceleration information, determine an assist torque corresponding to the determined gait phase, and control a driver to output the assist torque.