53 results about "Gross motor functions" patented technology

The present invention is a system and method to collect and analyze data produced through biometric and psychometric tasks on interactive computing devices. The collected biometric data can be used to quantify motor skills and to generate statistics that correlate with or predict ability in other functional domains. The biometric data tasks and data collection can be incidental to user interaction with a computing device using a touchpad or other input device—such as users drawing lines to connecting screen elements while using the user interface of an application on a computing device.

The invention discloses a rehabilitation robot training system for monitoring and restraining compensatory movement of hemiplegia upper limb. The system comprises a host computer control center, an interactive display screen, a force feedback gloves, a position tracker, upper limb rehabilitation robot end connectors, an upper limb rehabilitation robot, a base, and a pressure cushion. Two robotic arm ends of the upper limb rehabilitation robot are respectively equipped with the upper limb rehabilitation robot end connectors, which are respectively worn on the upper arm and the forearm of the patient's arm, the patient's arm is driven to move, the host computer control center stores and processes the position tracker, the force feedback glove and the pressure cushion to collect the patient'sdata in real time and monitors and analyzes whether the patient has the compensatory movement, and the interactive display screen displays the position and posture of the patient's upper limbs and the compensation movement monitoring results in real time and uses voice to guide the patient to suppress the compensatory movement. The rehabilitation robot training system realizes the monitoring andinhibition of the compensatory movement in the process of rehabilitation training of the hemiplegia upper limbs, which helps the correct movement of the patient and promotes the enhancement of the motion function of the hemiplegia upper limbs.

The invention belongs to the field of application of robot technologies and relates to a force-sensing space-adaptive gecko inspired robot capable of fulfilling automatic adhesion and anti-adhesion functions and realizing attitude correction. The robot is composed of a body, limbs, a tail, four feet and the like. The design requirement of integrating sensing and driving of leg structures of a miniature foot-type robot is met. The robot can be applied to the design of multi-degree-of-freedom foot-type robots of which the feet have the automatic adhesion and anti-adhesion motion functions and which can meet the three-dimensional contact force perception and space surface adaptive ability. The tail has a rotation speed regulation function, so that the control over the attitude of the gecko inspired robot per se under microgravity can be realized, the four feet can perform front impact adhesion on the target landing surface conveniently, and the gecko inspired robot can land stably on complex target surfaces and perform surface adhesion and anti-adhesion walking motions by combining the design of automatic adhesion and anti-adhesion motions of the feet and three-dimensional contact force perception and space surface adaptive functions.

The invention provides a supplementary motion system and a control method thereof. The system comprises a data acquisition unit, a signal processing signal, a motor driver and a mechanical actuating mechanism, wherein the data acquisition unit is used for acquiring electromyographic signals of a plurality of parts of limbs; the signal processing unit is used for respectively extracting time-domain characteristics and frequency characteristics of the electromyographic signal of each part and training and identifying multi-joint coordinated action types of the limbs by adopting a parallel mode classification algorithm; the motor driver is used for driving the mechanical actuating mechanism to actuate according to the action types; and the mechanical actuating mechanism is used for assistingthe limbs to finish the corresponding actions under the drive of the motor driver. By adopting the system and the control method thereof, a user can select a training mode by setting a mechanism actuating structure as active training or passive training; and the system can automatically sense the action intention of the user, coordinate the user to finish training needs with different strengths and speeds, and improve the motion function rehabilitation effect.