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Home-based care intelligent monitoring method and system based on multi-modal feature attention fusion

A monitoring system and multi-modal technology, applied in neural learning methods, character and pattern recognition, biological neural network models, etc., can solve problems such as inaccurate judgment of abnormalities and incomplete data collection, so as to reduce the rate of misjudgments and improve Effects of Practicality and Accuracy

Pending Publication Date: 2021-12-31
NANJING UNIV OF POSTS & TELECOMM
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AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of incomplete physical condition data collection and inaccurate abnormality judgment of the elderly at home in the prior art, the present invention proposes a home-based elderly care intelligent monitoring method and system based on multi-modal feature attention fusion

Method used

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  • Home-based care intelligent monitoring method and system based on multi-modal feature attention fusion
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  • Home-based care intelligent monitoring method and system based on multi-modal feature attention fusion

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Embodiment Construction

[0039] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0040] In one embodiment, such as figure 1 As shown, a multi-modal feature attention fusion home care intelligent monitoring system is provided, mainly including high-definition camera, smart bracelet, smart toilet, cloud platform, smart phone, high-definition camera, smart bracelet, smart toilet through wireless The network is connected to the cloud platform, and the cloud platform is wirelessly connected to the smart phone through the wireless network.

[0041] High-definition cameras are installed in areas where the elderly often move, such as the living room, bedroom, kitchen, and bathroom. At least three cameras are installed in each area to capture the elderly’s moving images in real time from multiple angles, and transmit them to the cloud platform through the wireless network; Continuous action frames and facial images of people are extrac...

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Abstract

The invention discloses a home-based care intelligent monitoring method and system based on multi-modal feature attention fusion, and belongs to the technical field of home-based care intelligent. The multi-modal data of the physical condition of the home elderly are comprehensively collected, the comprehensive health state grade judgment of the elderly is realized by adopting the deep learning model based on the multi-modal feature technology, the physical condition of the elderly can be comprehensively judged and analyzed, the misjudgment rate, the misjudgment rate and the missed judgment rate are reduced, the practicability and the effectiveness of monitoring are improved, a good monitoring means is provided for home-based care for the aged, meanwhile, effective implementation of the national grading diagnosis and treatment system is promoted, and the application prospect is wide.

Description

technical field [0001] The invention relates to a method and system for intelligent monitoring of home care for the elderly based on multi-modal feature attention fusion, and belongs to the technical field of home care for the elderly. Background technique [0002] my country's elderly population will exceed 300 million, and will move from mild aging to moderate aging. Elderly care services will face greater challenges and tests, and community-based home-based care will become a new format. Community home care for the elderly is in line with the development trend of international pensions. Most of the elderly in the world are enjoying the care of home and community care for the elderly. Even in developed countries such as Europe and the United States and high-welfare areas, home and community care for the elderly are also the mainstay. The health and medical treatment of the elderly are the most basic guarantee of life. In the current society, smart phones have become popul...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06Q50/22
CPCG06N3/08G06Q50/22G06N3/047G06N3/044G06N3/045G06F18/2415G06F18/253G06F18/214
Inventor 张晖张昕宸
Owner NANJING UNIV OF POSTS & TELECOMM
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