Hand rehabilitation training evaluation system and method based on motion capture

A rehabilitation training and motion capture technology, applied in the field of electronic information, can solve the problems of inability to track the movement trajectory of the affected finger in real time, and the lack of continuity and accuracy of the hand movement function detection method, so as to facilitate the evaluation of the patient's rehabilitation degree and adaptability Good and easy to use effect

Inactive Publication Date: 2015-09-09
SHANGHAI UNIV
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Problems solved by technology

[0005] The problem to be solved by the present invention is to use binocular vision stereoscopic imaging technology to solve the shortcomings of the lack of continuity and accuracy of the current hand movement function detection method and th...

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  • Hand rehabilitation training evaluation system and method based on motion capture
  • Hand rehabilitation training evaluation system and method based on motion capture
  • Hand rehabilitation training evaluation system and method based on motion capture

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Embodiment Construction

[0021] Preferred embodiments of the present invention are described in detail as follows in conjunction with accompanying drawings:

[0022] see figure 1 and figure 2 , a hand rehabilitation training evaluation system based on motion capture, including a hand marking device 1, a camera platform 2 and a computer system 3; the hand marking device 1 uses LED lights of different colors to mark the palms and joints of fingers; the The imaging platform 2 is a three-dimensional frame with four groups of double CMOS cameras fixed, and the cameras are all aimed at the patient's hand in the center of the frame; the imaging platform 2 is connected to the computer system 3, and the output video stream of the imaging platform 2 is input to the computer system 3. The computer system 3 processes the video stream, tracks the joint points of the hand, obtains the real-time spatial position data of the joint points, saves them to the database, and displays them on the monitor in real time.

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Abstract

The invention relates to a motion capture technology and an application of the motion capture technology in hand function rehabilitation, and particularly relates to a hand rehabilitation training evaluation system based on motion capture and a hand rehabilitation training evaluation method based on the motion capture. The hand rehabilitation training evaluation system comprises a low-cost hand motion capture and display system, and comprises hand marking equipment, a camera shooting platform and a computer system. A binocular vision three-dimensional imaging technology is utilized, and then defects that a current hand movement function detection method is lack of continuity and accuracy and cannot track wounded finger trajectory in real time are overcome; and the invention provides the simple-method, low-cost and high-reliability hand rehabilitation training evaluation system and method.

Description

technical field [0001] The present invention relates to motion capture technology and its application in evaluating hand function rehabilitation, in particular to a hand rehabilitation training evaluation system and method based on motion capture, which belongs to the field of electronic information, and particularly relates to medical imaging, which belongs to a new generation of information technology strategic emerging industries. Background technique [0002] The current method of hand motion function detection is to detect according to the joints and activity characteristics of each finger of the hand. Among them, the movement of the thumb includes the flexion and extension of the wrist metacarpophalangeal joint, the metacarpophalangeal joint, and the interphalangeal joint, adduction and abduction, and pronation and supination, while the movements of the other four fingers include the flexion and extension of the metacarpophalangeal joint, the interphalangeal joint, and...

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Application Information

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IPC IPC(8): A61B5/11
CPCA61B5/1107A61B5/1118A61B5/1122A61B5/1125A61B5/1128
Inventor 苗鹏张天航刘颖
Owner SHANGHAI UNIV
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