Auxiliary action learning system and method based on wearable equipment
An action learning and wearable device technology, applied in the field of ergonomics and exoskeletons, can solve the problems of high research cost and high requirements on the actual application environment, and achieve the effect of improving work efficiency and simplifying programming time.
Inactive Publication Date: 2021-03-26
HENAN UNIVERSITY OF TECHNOLOGY
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[0004] Generally speaking, the research cost of the existing research methods is relatively high, and the requirements for the actual application environment are relatively high: multiple wearable devices must be worn when exercising, a motion model needs to be established, and a large amount of data needs to be analyzed; and due to this field still need a lot of basic research
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[0027] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0028] In addition, the technical solutions of the various embodiments can be combined with each other, but it must be based on the realization of those skilled in the art. When the combination of technical solutions is contradictory or cannot be realized, it should be considered that the combination of technical solutions does not exist , nor within the scope of protection required by the present invention.
[0029] The present invention proposes a w...
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The invention relates to the field of motion capture and muscle training, and discloses an auxiliary motion learning system and a method based on wearable equipment. The system comprises an initialization module, an action capture module, an instruction generation module and an output module, the action capture module converts action signals into electric signals, the instruction generation modulecompiles the electric signals into exoskeleton action execution instructions, and the output module reads the instructions to execute corresponding actions. Therefore, the action learning wearer repeatedly trains unskilled action signals based on the principle of promoting muscle memory formation, and can more visually feel force exertion and smooth connection of actions. Finally, action learningis completed with extremely high efficiency.
Description
technical field [0001] The invention relates to ergonomics and exoskeleton technology, in particular to a wearable device-based auxiliary motion learning system and method. Background technique [0002] Exoskeleton is a very popular field, especially assisting the human body in sports rehabilitation is a direction that has aroused the interest of scholars. The current research is mainly for applications in medical rehabilitation, assisting workers in labor and other scenarios; however, there is a gap in the research in the field of exoskeleton feedback to the human body and assisting the human body in motion learning. In fact, exoskeleton feedback to the human body for action teaching can greatly improve the efficiency of human body learning actions. Taking learning dance as an example, the learner judges how to execute the action through vision, and needs to reconstruct the action in the brain and execute it. Many details cannot be implemented in place at the first time. ...
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Login to View More IPC IPC(8): A63B23/00A63B24/00G16H20/30
CPCA63B23/00A63B24/0062A63B24/0087A63B2220/836G16H20/30
Inventor 刘烜杰
Owner HENAN UNIVERSITY OF TECHNOLOGY