A knee joint mechanism without a power source is provided. The knee joint mechanism includes a thigh support assembly, a connecting base, a shank support assembly and a locking mechanism. The thigh support assembly is fixed at a thigh of an exoskeleton robot, a first angle sensor is disposed on a hip, and power is provided from the hip. The connecting base is mounted with a second angle sensor; the locking mechanism includes a motor, a worm gear, a locking member, an unlocking member, and a first limiting member. The unlocking member and the first limiting member firmly fix the locking member to maintain the thigh support assembly, the connecting base and the shank support assembly at an ergonomic angle; the motor drives the unlocking member to rotate through the worm gear to realize unlocking, and the second angle sensor controls the unlocking member to lock the locking block.

The invention relates to an exoskeleton for assisting human movement, which can be fitted to the user in terms of dimensions, tension and ranges of joint motion, either manually or automatically. Said exoskeleton can be fitted to the user in the anteroposterior direction in the sagittal plane, with the user in a horizontal or sitting position, without requiring a functional transfer. The exoskeleton has a modular design which is compatible with human biomechanics and reproduces a natural and physiological movement in the user, with up to 7 actuated and controlled degrees of movement per limb, ensuring that the user maintains equilibrium during locomotion.

In at least some aspects, the present concepts include a method for configuring an assistive flexible suit including the acts of outfitting a person with an assistive flexible suit, monitoring an output of at least one sensor of the assistive flexible suit as the person moves in a first controlled movement environment, identifying at least one predefined gait event using the output of the at least one sensor, adjusting an actuation profile of the at least one actuator and continuing to perform the acts of monitoring, identifying and adjusting until an actuation profile of the at least one actuator generates a beneficial moment about the at least one joint to promote an improvement in gait. The at least one controller is then set to implement the actuation profile.

In various embodiments, provided herein are systems, methods, processes, and devices for providing locomotive rehabilitation to a subject via one or more gait motions that substantially accurately mimic motions performed in healthy, natural gait cycles. The system may mimic natural gait motions via footplates and handles, and one or more linkage systems. In particular embodiments, the system may further include a motor unit and/or clutch for providing controlled forces assisting or resisting motions of a linkage system. Further, the system may include a tower for operating in a standing or seated position. In at least one embodiment, the system includes a body weight support system that provides offloading forces to a subject.

A rehabilitation system includes: a rehabilitation robot configured to execute corresponding actions according to motion instructions; a brain wave detector configured to detect brain wave signals of a user; and control device configured to generate motion instructions according to brain wave signals to control the rehabilitation robot to execute corresponding actions.

A soft-inflatable exosuit for knee rehabilitation is fabricated in two different beam-like structures (I and O cross-section actuators) and mechanically characterized for their torque performance in knee-extension assistance. The fabrication procedure of both types of actuators is presented as well as their integration into a light-weight, low-cost and body-conforming interface. To detect the activation duration of the device during the gait cycle, a soft-silicone insole with embedded force-sensitive resistors (FSRs) is used. In evaluation studies, the soft inflatable exosuit device is tested for its ability to reduce muscle activity during the swing phase of the knee. Using sEMG (surface electromyography) sensors, the rectus femoris muscle group of a healthy individual is recorded while walking on a treadmill at a constant speed, with and without the soft device.

A walking training apparatus 1 includes a leg robot 2 attached to a leg of a walking trainee, a motor 261 configured to rotationally drive a knee joint 22 of the leg robot 2, a control unit 332 configured to control the motor 261 so that the motor 261 rotationally drives the knee joint 22 in a leg-idling period in a gait motion of the walking trainee, a motor torque detection unit 262 configured to detect a motor torque, the motor torque being a torque generated by the motor 261, and a determination unit 333 configured to determine whether or not the walking trainee is in a spasticity state or a rigidity state by using a value of the motor torque detected in the leg-idling period by the motor torque detection unit 262.

A lift device includes two vertical extendible tower members, each of the two vertical extendible tower members including, at a first lower distal end, an omnidirectional wheel assembly, and a vertical extension assembly configured to simultaneously raise and lower the two vertical extendible tower members in a vertical direction. The lift device further includes a horizontal extendible transverse member connected between second opposing distal upper ends of the two vertical extendible tower members. The horizontal extendible transverse member further including a horizontal extension assembly configured to extend and retract the horizontal extendible transverse member in a horizontal direction perpendicular to the vertical direction, a traveler carriage configured to move in the horizontal direction upon the horizontal extension assembly between the second opposing distal upper ends of the two vertical extendible tower members, and a payload lifting device configured to raise and lower a payload in the vertical direction with respect to the traveler carriage on the horizontal extension assembly.

In some embodiments, an exoskeleton device for providing gait/movement assistance to users, and more particularly, methods and apparatuses for attaching such devices to a limb of the users, are presented. In some embodiments, the apparatus may comprise a support, a support holder, and a retaining element for retaining the support secured to the support holder at least when the apparatus is in use. In some embodiments, the attachment of the support to the support holder may be configured so as to allow the support a range of translational and/or rotational degrees of motion.

A method of operating an information processing apparatus may include collecting gait information of a walking assistance apparatus; determining a gait feature of a user of the walking assistance apparatus based on the collected gait information; and controlling the walking assistance apparatus by determining a gait group of the user based on the determined gait feature.