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Cognition-based memory recognition and recovery method and system

A recovery method and recovery system technology, applied in the field of cognitive technology improvement, can solve problems such as memory loss and inability to assist recovery, and achieve the effects of helping memory, enhancing memory, and helping recovery

Inactive Publication Date: 2019-01-22
邓建晖
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a recognition and recovery method based on cognitive memory, which aims to solve the technical problem that memory loss cannot be assisted in recovery

Method used

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  • Cognition-based memory recognition and recovery method and system

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Embodiment Construction

[0038] Such as figure 1 As mentioned above, the flow chart of the recognition and recovery method based on cognitive memory provided by the present invention is described in detail as follows:

[0039] Help S1 to collect data information in the activity scene through cognitive equipment; use cognitive equipment to collect data in the scene of human activities. Information about characters, auditory information, marker information, visual information, olfactory information, tactile information, and taste information, etc., and there is also character information that appears back and forth in the field. The sequence of points is combined to form a whole data message.

[0040] Step S2, extract the salient features of the collected scene data information to generate feature marks; in this step, use the combination of saliency method and automatic semantic image or information shape segmentation method on the collected data information to carry out the scene classification of the...

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Abstract

The invention belongs to the field of cognition technology improvement, and provides a cognition-based memory recognition and recovery method. The method includes the following steps that: S1, data information in an activity scene is collected through a cognition device; S2, the significant features of the collected scene data information are extracted, and feature marks are generated; S3, mappingrelations between the generated significant marks and the extracted data information are established, memory information is automatically generated in a database and is stored; S4, associated searchmemory data information is inputted; S5, a corresponding mode is selected to query the generated memory information in the database according to the inputted data information; and S6, whether the associated data information exists in the memory data is judged. With the method adopted, the memory of a user can be enhanced, and the recovery of the memory can be facilitated after the memory loses; and the user can be assisted to recover and enhance the memory, so that it is more convenient and quicker to retrieve the memory quickly after the memory loses.

Description

technical field [0001] The invention belongs to the field of cognitive technology improvement, in particular to a recognition and recovery method based on cognitive memory. Background technique [0002] The present invention is mainly used to assist the recovery of cognitive and memory dysfunction. At present, most of the memory dysfunction is caused by Alzheimer's disease, which is a neurodegenerative disease with insidious onset and progressive development. It is characterized by comprehensive diseases such as memory impairment, aphasia, apraxia, loss of team, visuospatial skill impairment, executive dysfunction, personality and behavior changes. [0003] The invention assists users with cognitive and memory dysfunction through wearable devices. Through the artificial intelligence saliency method, the automatic semantic image information shape segmentation method, etc., the user's memory is automatically recognized, the characteristic mark is made, and the memorized perso...

Claims

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Application Information

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IPC IPC(8): G16H20/00G06F16/903
CPCG16H20/00G16H10/60G16H50/20G16H30/40A61M21/00A61M2021/0022A61M2021/0016A61M2021/0027A61M2021/0044A61M2205/52A61M2230/00A61M2209/088A61M2205/609A61M2205/3553A61B5/4088G06V40/172G06V40/193G06V20/46G06V10/464G16H20/70G06F16/907G10L15/08G10L15/22G10L2015/088G06V20/41G06V30/274G06F18/285
Inventor 邓建晖
Owner 邓建晖
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