227 results about "Prosthetic hand" patented technology

A transmission or actuator offering multiple rotational outputs proportionate in speed to that of a common rotational input, each output according to its own ratio. The ratios are continuously variable between positive and negative values, including zero, and may be varied by electromechanical actuators under computer control. The transmission relates the output speeds one to another under computer control, and thus makes possible the establishment of virtual surfaces and other haptic effects in a multidimensional workspace to which the transmission outputs are kinematically linked. An example of such a workspace is that of a robotic or prosthetic hand.

An anthropomorphic artificial hand having a mechanical system that allows for the digits to be compliant to pressure that tends to flex the digits, and provides for the digits to be self biasing to conform to the shape of the object being grasped. The hand comprises one to four fingers, with the fingers having up to three joints each. The hand may also comprise a thumb that can be rotated into and out of opposition of the fingers. The joints of the thumb are also self biasing to allow conformance to the object being grasped. The hand is of the voluntary closing operation, with all digits being self extending. This allows the hand to use two cables to operate if body powered (one for the fingers, one for the thumb). The hand may also be electronically powered using two channels for operating the fingers and thumb simultaneously.

The invention discloses an under-actuated prosthetic hand capable of reproducing a hand grasping function; the under-actuated prosthetic hand is provided with an interphalangeal drive mechanism and a thumb drive mechanism in a palm; finger bodies take pulleys as main parts, and transmission mechanisms arranged in fingers are sequentially and alternately wound on all the pulleys of the fingers by steel wire ropes; joints in the fingers are in flexible coupling by elastic components; the interphalangeal drive mechanism adopts two motors to drive four fingers and multiple degrees of freedom of the fingers in a synergetic way; a thumb body takes a pulley as a main part, the transmission mechanisms in the finger bodies take transmission ropes as transmission mediums, the interphalangeal drive mechanism adopts a gear component for transmission matching, and the four degrees of freedom of the thumb can be controlled by two motors. After the under-actuated prosthetic hand is adopted, self-adaptive grasping of various objects can be accurately completed, and the rich grasping operation function of a human hand can be reproduced; the under-actuated prosthetic hand has the characteristics of being compact in structure, smaller in size, lighter in weight, convenient to control, accurate in grasping action, and the like.

The invention discloses a thumb device of little-driving self-adaptive artificial hand, which is characterized by the following: connecting one end of thumb finger-tip pin case (32) with the thumb finger-tip connecting rod pin shaft (37); fixing the thumb wheeled bearing (55) on the wave generator axle (54) under the thumb decelerator wheel (10); connecting the thumb decelerator wheel (10) with the wheeled pad (9) through the wheeled fixation pin (57); fixing the wave generator (52) of harmonic gear decelerator on the other end of the wave generator axle (54) of wheeled pad (9). The invention can display a 130 deg conical moving space in the moving course to realize the finger-pin little-driving movement, which is adaptive for the object shape to reach full-covering the object and stable grasping.

The present invention provides a prosthetic hand capable of multiple grasp types. The prosthetic finger units are underactuated both within and between the finger units using a differential mechanism arrangement. The locking movement of the prosthetic thumb unit is coupled to the differential mechanism. As the user repositions the prosthetic thumb unit, the differential mechanism is effected as to alter both the initial positions and force distribution of the prosthetic finger units. The present invention further provides an additive manufacturing molding method for making the same.

A wrist device is provided for use with a prosthetic limb. The wrist device includes a base plate that is configured for attachment to a prosthetic limb and a sliding lock plate that is slidably engaged with the base plate. Both the base plate and the sliding lock plate have openings. Also included in the invention is a semi-cylindrical rotator that is configured for attachment to a prosthetic hand. The semi-cylindrical rotator has slots configured to receive the sliding lock plate and is coupled to the base plate in a manner that allows the sliding lock plate to lock into the slots.

Features for a prosthetic wrist and associated methods of rotation are described. The prosthetic wrist attaches to a prosthetic hand. Rotation of the prosthetic wrist is performed in combination with grip formation of the prosthetic hand. An IMU provides data associated with the orientation of the prosthetic hand. A desired grip for the prosthetic hand is selected, for example by gesture control. A rotation for the prosthetic wrist is determined based on the orientation of the prosthetic hand from the IMU data and on the selected desired grip. The prosthetic wrist techniques can also be used in combination with prosthetic arms, elbows and/or shoulders. Example structural configurations for the prosthetic wrist and hand are also provided.

The invention relates to a prosthetic hand control method based on an MYO armlet. An electromyographic signal of arm muscles is acquired in real time through the MYO armlet and read, the characteristic value of the electromyographic signal is extracted, hand motion mode is recognized online by means of the characteristic value and a well trained neural network model, and the motion mode is converted into a corresponding motor movement instruction which drives a prosthetic hand to make a corresponding motion; a method for training the neural network model comprises the steps of executing the hand motion, acquiring the electromyographic signal of arm muscles through the MYO armlet, reading the electromyographic signal, extracting the characteristic value of the electromyographic signal, and training the hand motion neural network model according to a sample of the characteristic value. Compared with the prior art, the method has the advantages of being convenient to use, low in cost, high in cost performance, wide in application range and the like.

The invention relates to an underactuated humanoid dexterous robotic hand device, which is provided with five independently controlled modular fingers and has 16 freedom degrees. The whole hand is driven by 11 motors; the dimension and the shape are similar to those of the hand of an adult. Except for a thumb, the other four fingers have the completely identical structures; the thumb has one freedom degree of doing longitudinal rotation around the palm base; through the arrangement of a rotating shaft, when the whole hand grasps objects, the grasping force of the forefinger, the ring finger and the small finger on the objects can be in symmetrical distribution at the two sides of the middle finger; the grasping stability is improved. Modular fingers are used; the two motors are respectively used for driving a finger base part joint, a middle joint and a tail end joint; the middle joint and the tail end joint are coupled by a structure-variable connecting mechanism; through a connecting rod mechanism, the relative positions of the two coupled finger joints after the contact with the objects can be actively regulated, so that the fingers can wrap the objects according to the shape of the grasped objects; the self adaptability to the appearance of the objects is high; the grasping action better conforms to the human hand. The structure of the whole hand is simple; the grasping force is great; the grasping rigidity is high; the control is simple; the grasping self adaptability is high; the underactuated humanoid dexterous robotic hand device is applicable to the fields of disabled people artificial hands, explosive handling, nuclear equipment detection and humanoid robots.

The invention discloses a thumb device for artificial hand. The driving device (1) is in rotary connection with the back part of near knuckle (4), the front part of near knuckle is in rotary connection with back part of middle knuckle (3), and the front end of middle knuckle is in rotary connection with the back part of far knuckle (2). The middle knuckle and near knuckle imitate deficient activation motion of real hand driven by middle knuckle shaft disk, the middle knuckle and far knuckle imitate coupling motion of real hand driven by coupling rod; and the knuckle number of thumb is imitative to that of real hand. The invention is characterized by simple structure, real-like appearance and flexible motion of each knuckle.

The invention discloses an under-actuated finger capable of being flexibly coupled between joints. The finger takes pulleys as main components; transmission mechanisms in the finger are sequentially wound on various pulleys of the finger by virtue of a tensioning rope and anti-loose rope, and comprise two coupling springs and stay cords between finger knuckles, thus multi-freedom movement of the fingers is finished by one input. Through the under-actuated finger, a finger body cooperates with the transmission mechanisms in the finger to form the under-actuated finger; the adaptive ability during grabbing can be accurately achieved; meanwhile, the finger is suitable for prosthetic hand instruments in various complicated application environments due to embedded flexibility of the finger.

The invention relates to an automated hand, such as a prosthetic hand. In one form, the automated hand may be fluid compatible. In one form, the automated hand may comprise features to reduce the risk of harm to motors and/or other sensitive components of the hand when subject to an impact. In one form, the hand may comprise a wrist joint configured to allow the hand to curl and flex and/or to rotate. In one form, one or more digits of the hand may be individually controlled. In one form the hand may include a thumb rotation locking mechanism. In one form the hand may be provided with removable grip plates. In one form, the hand may be configured for use as a training hand.

The invention relates to a thumb mechanism of an artificial hand, in particular to a thumb mechanism of a humanoid hand and aims to solve the problem that a thumb of each of most existing artificial hand moves for grasp in one direction only. Rotation of a thumb of the thumb mechanism is achieved by worm-gear transmission. A function of bending for grasp is achieved for the thumb by worm-gear transmission and bevel gear transmission. A first knuckle and a second knuckle of the thumb are under-actuated by a plane four-bar mechanism. The thumb mechanism has the advantages that the thumb can rotate, bend for grasp and spatially move in a complex way during grasp motion of the thumb, the function of omnidirectional grasp can be achieved for the thumb, and various motion functions of a thumb of a human hand are achieved for the thumb of the thumb mechanism; a transmission mechanism of the thumb is in worm-gear transmission and has the self-locking function, and grasp torque of the thumb can be maintained after power failure of a motor; and the thumb mechanism is simple in structure, flexible to move, convenient to control, light in weight, small in size and large in thumb grasp strength.

The invention provides a bionic prosthetic hand and device based on 3D printing. The hand comprises an electromyography sensor, a single chip microcomputer, a servo motor, a transmission structure and an actuator. The electromyography sensor is connected with the single chip microcomputer, which is used for collecting original electromyography signals and sending impulse signals to the single chip microcomputer. The single chip microcomputer is connected with the servo motor, which is used for sending driving signals to the servo motor correspondingly according to the original electromyography signals or the impulse signals. The servo motor is connected with the transmission structure, which is used for affecting the transmission mechanism connected with the actuator according to the driving signal, thereby achieving the control over movement attitudes of a flexible or elastic hand body in the actuator through the transmission mechanism. According to the bionic prosthetic hand and device based on the 3D printing, bending movements and attitude hold of fingers can be achieved through simple structures, and a variety of hand gesture movements can be completed. The bionic prosthetic hand and device based on the 3D printing have the advantages of being easy and convenient to manufacture, low in cost and high in degree of freedom.

The invention provides a modular multi-degree-of-freedom underactuated bionic prosthetic hand. The hand comprises a palm, a thumb and four fingers. The thumb and the fingers are independent modules which can be independently assembled and dismantled, each module is driven by a micro motor, each module is provided with two moving joints, and the movement of the two joints is coupled and is in an underactuated manner; a mechanical transmission chain of the fingers comprises a micro motor, a micro reducer, a spur gear pair, a sliding screw pair, pull ropes and a torsion spring, the mechanical transmission chain has two-layered arrangement and a returned-type layout is adopted. The invention further provides a wedge concave-convex type fixing device assembly. The motor of the fingers is transversely arranged along the palm, and it is ensured by a conical gear pair that the transmission chain can still be operated reliably when the attitudes of the fingers are changed. According to the bionic prosthetic hand, the motors are fixed on the palm, the bionic prosthetic hand has the advantages of being simple in structure, small in size, light in weight and reliable to operate.

A system and method for substituting vision based cues for lost sense of touch may employ a small electronic display or other non-tactile feedback mechanism that attaches to a prosthetic arm or other limb. Devices according to certain embodiments of the present invention include an array of pressure or other sensors that may be deployed against a prosthetic hand by structures such as finger cots or gloves containing the sensors. In one embodiment, an electronic display may be used to display a colored bar that moves from left to right, and changes colors along a gradient, as detected pressure on the sensors deposed against the hand increases. Movement across space and change in color are both easily discernable visual cues for these purposes.

The invention discloses a multi-dimensional surface myoelectricity signal artificial hand control method based on a principal component analysis. The control method comprises the follow steps that 1, an arm ring provided with a 24-channel array myoelectricity sensor is worn to a front arm of a testee, and five finger joint posture sensors are worn at the distal phalanx of a thumb of the subject and at the middle phalanxes of rest fingers of the testee respectively; 2, the testee conducts a five-finger independent bending and stretching training, and meanwhile, the myoelectricity sensing array data and the data of the finger joint posture sensors are collected; 3, the principal component analysis is used for decoupling the myoelectricity sensing data to form a finger movement training set; 4, the sensors worn on the fingers are removed after the training is finished; 5, data fitting is performed on the finger movement training set by adopting a neural network method, and a finger continuous motion prediction model is constructed; and 6, current bending angles of the fingers are predicted through the finger continuous motion model. According to the control method, the non-consistency of the discrete action modal classification can be overcome, and finally smooth control on an artificial hand is achieved.

The invention discloses a thumb structure of a prosthetic hand and belongs to the field of medical apparatuses. The thumb structure of the prosthetic hand solves the problems that an existing thumb structure of the prosthetic hand is excessive in drives, heavy and insufficient in flexibility. The thumb structure of the prosthetic hand comprises a palm bottom plate, a servo motor, a speed reducer, transmission mechanism a near knuckle, a middle knuckle and a far knuckle, the servo motor and the speed reducer which are mutually connected are fixed on the palm bottom plate, the speed reducer is connected with the transmission mechanism which is connected with the near knuckle, and the near knuckle, the middle knuckle and the far knuckle are rotationally connected sequentially. The thumb structure of the prosthetic hand adopts the servo motor to drive a thumb to bend and laterally swing, has three degrees of freedom, is extremely similar to a human thumb in shape and moving mode, and is attractive in appearance, human simulated and practical. Experimental results show that the thumb structure of the prosthetic hand has great self-adaptive capability when matches with other fingers during gripping and can realize enveloping, precise gripping, powerful gripping and side nipping of complex objects.

Features for a powered prosthetic thumb are described. The thumb provides for rotation of a digit that mimics the natural movement possible with a sound thumb. The thumb may attach to a full or partial prosthetic hand or socket on a residual limb. The thumb may include an upper assembly, including a prosthetic thumb digit, rotatably attached to a mount about a pinch axis and a lateral axis. The digit may rotate about only the pinch axis, only the lateral axis, or both the pinch and lateral axes simultaneously. A first actuator may actuate to cause rotation of the digit about the pinch axis. A second actuator may actuate to cause rotation of the digit about the lateral axis. The first and second actuators may be actuated together at appropriate speeds to cause rotation about both the pinch and lateral axes simultaneously. A swaying chassis may be rotatably connected with the upper assembly and a lower assembly about various offset axes to provide for rotation about the lateral axis.

The invention discloses an embedded under-actuated prosthetic hand control system based on CyberGlove. The embedded under-actuated prosthetic hand control system comprises the CyberGlove, an upper computer, a motor assembly and an integrated control unit, wherein the CyberGlove is used for providing original movement data of a human hand, the upper computer is used for wirelessly transmitting the original movement data and command control, the motor assembly is used for driving a prosthetic hand to conduct various movements, and the integrated control unit is embedded into the prosthetic hand in the form of a integrated circuit plate and comprises a wireless receiving and transmitting module, a motor speed detection module, a motor current detection module, a fingertip force detection module, a master controller and a power amplification module. Through the embedded under-actuated prosthetic hand control system, movement control over the prosthetic hand can be conveniently achieved with the compact structure, the detects that an existing prosthetic hand control system is limited to a small number of preset control modes and hardware circuits are excessively huge can be overcome, and meanwhile movement accuracy and applicability in kinds of practical application can be significantly improved.

The invention discloses a human-like dexterous EMG artificial hand control method based on gesture recognition, which recognizes eight kinds of gestures of a user in real time and operates the dexterous artificial hand to carry out synchronous action. The gesture recognition strategy of this control method is based on neural network algorithm, participants first completed eight preset gestures (relaxation, wrist valgus, wrist varus, fist-clenching, palm-extension, gesture 2, gesture 3 and thumb-upright) during the training phase, and then the system is able to recognize any one of the eight gestures randomly completed by the user in real time. The method uses a Tensorflow machine learning framework to learn weights and perform visual analysis. The method collects, trains and predicts the surface electromyography signal of a user, the comprehensive prediction accuracy of the 8 gestures reaches 97%, and the training is not needed when the gesture is worn again. When the subjects actuallycontrolled the artificial hand, the voting algorithm was used to optimize the real-time gesture prediction, and the synchronization rate of the artificial hand reached 99%.

The invention discloses a modular multimodal artificial hand, which comprises a wrist driving module, a palm module, a finger structure, a thumb module, a rope, a rotating winch, a mode conversion module and an adjustable fixing rod, wherein the rope is pulled by the palm flexion of a patient's wrist, the bending of the finger structure is realized, and the stretching is realized by the resilienceof a flexible hinge; using the cam of the modal conversion module to adjust the stretching amount of the rope, the working gesture of the artificial hand can be converted. The working gesture includes grasping, finger and V-shape gesture, which can meet the needs of the daily life of the patients. By changing the winch, the different length of the driving part rope and the finger part rope can bechanged, and the effect and strength of the grasping can be improved. By setting the thumb rotation structure, the degree of freedom of the thumb is increased, and the practicability and the applicable scene of the artificial hand are improved. The invention adopts 3D printing manufacture, is easy to process, simple and portable in structure, low in wearing pressure, low in cost and easy to popularize.