Systems for performing human motor assessments remotely include a wearable orthosis device having a sensor, an imaging device, and a computer. The computer includes instructions that cause the computer to perform a method comprising receiving images from the imaging device; making a measurement of a movement from the images, the movement performed by a patient; and calculating a motor assessment metric using the measurement of the movement and data from the sensor.

A lower support type rehabilitation device for fingers includes a cover plate having a hand covering portion and a plurality of through holes. A plurality of finger supports are disposed on the hand covering portion, each having a first finger base, a second finger base pivotally connected to the first finger base, two side arms and a beam disposed on the first finger base. A traction device is disposed on the hand covering portion and has a first processing module, a plurality of driving modules electrically connected to the first processing module, a plurality of pulling ropes connected to the plurality of driving modules and a plurality of pressure sensors electrically connected to the first processing module. Each of the plurality of pulling ropes passes through one of the plurality of through holes for fixing to the beam of the first finger base.

Devices, systems, and methods are provided to treat tremor in a subject. Devices, systems and method may comprise a wearable based configured to be worn over at least a part of a joint of the subject; at least one flywheel-spring-damper system (FSD) comprising at least one housing configured to be coupled to the wearable base; and at least one flywheel configured to counteract tremor movements in the subject, wherein the flywheel-spring damper system is configured to be coupled to the wearable base. The tremor may be a tremor in an outer extremity, typically a hand, of a subject.

A rope-driven soft hand function rehabilitation device includes four finger exoskeleton mechanisms, a thumb exoskeleton mechanism, and a soft rubber glove. An index-finger exoskeleton mechanism includes an index-finger distal phalanx loop, an index-finger middle phalanx loop, and an index-finger proximal phalanx loop which are mutually connected via a hinge structure. The thumb exoskeleton mechanism includes a thumb proximal phalanx loop and a thumb distal phalanx loop which are connected via a hinge structure. The rope is fastened to the hand function rehabilitation device via an aluminum sleeve which prevents the rope from slipping off during finger flexion/extension and abduction/adduction when the fingers are pulled by the rope at the palm and the hand back.

An exoskeleton finger rehabilitation training apparatus includes a housing. A first motor and a second motor are disposed inside the housing. A direction of an output shaft of the first motor is opposite to a direction of an output shaft of the second motor. The output shaft of the first motor is provided with a first motor gear. A right side of the first motor gear is engaged with a first transmission gear. An edge of the first transmission gear is sequentially connected to an index finger sleeve and a middle finger sleeve that are axially arranged. The output shaft of the second motor is provided with a second motor gear. A right side of the second motor gear is engaged with a second transmission gear. An edge of the second transmission gear is sequentially connected to a pinky sleeve and a ring finger sleeve that are axially arranged.

An exoskeleton robot for hand and wrist kinetic rehabilitation provides passive, active-assisted, and active resistance rehabilitation for fingers and wrist joints independently. It relieves pain during exercises and stimulates the mechanoreceptors for all hand and wrist joints. The device provides levels of differentiation for finger rehabilitation through independent motion control mechanisms for all ten phalanges of the fingers and the wrist with a full range of motion, which helps in focusing the work on each joint selectively. It is portable, operates using an electric power source only, easy to wear, fits different hand sizes, and most of its parts made of lightweight plastic.

A hand rehabilitation device, a rehabilitation training device, and a method for controlling the same are disclosed, and the hand rehabilitation device includes a hand rehabilitation component including: a glove; a hand pneumatic muscle group including at least one finger pneumatic muscle component, wherein a back of each finger sleeve in the glove is installed with at least one of the at least one finger pneumatic muscle component; and a stopper which is connected with each finger sleeve and a side of each of the at least one finger pneumatic muscle component facing a corresponding finger sleeve.

Provided are a slider-type wire driver for under-actuation and a glove-type wearable robot including the same. In particular, provided are a slider-type wire driver for under-actuation that has a structure suitable for actuating a robot in an under-actuation manner, has a simple structure, and enables effective operation, and a glove-type wearable robot including the same. A slider-type wire driver for under-actuation and a glove-type wearable robot including the same according to embodiments of the present disclosure, can effectively reduce friction between the tendon and the surrounding structure thereof, facilitating the operation of the under-actuation robot and improving the lifespan thereof. In addition, in the case of the slider-type wire driver for under-actuation and a glove-type wearable robot including the same according to the present disclosure, an actuator that applies tension to the tendon for under-actuation can be manufactured at a low price.

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.

The present disclosure relates to a device including electrostatic brakes providing haptic kinaesthetic feedback to a user in e.g. assistive, rehabilitation or virtual reality scenarios, as well as tele-manipulation.