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Old people information service system based on dual neural network behavior recognition model

A neural network and recognition model technology, applied in the field of information service system for the elderly, can solve the problems of difficult wristband implementation, slow convergence, large amount of calculation, etc., to improve the global search ability and convergence speed, enhance the accuracy and general the effect of large-scale search space

Inactive Publication Date: 2016-04-27
HUNAN NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

Neural network is one of the best models for continuous signal analysis and recognition, but it is difficult to implement directly on the wristband because of the complexity of the algorithm and the large amount of calculation
At the same time, the training of the neural network is based on the gradient descent algorithm, which has the disadvantages of slow convergence and easy to fall into local extremum.

Method used

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  • Old people information service system based on dual neural network behavior recognition model
  • Old people information service system based on dual neural network behavior recognition model
  • Old people information service system based on dual neural network behavior recognition model

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Embodiment Construction

[0035] In order to make the purpose, technical solutions and advantages of the present invention clearer, the implementation of the present invention will be further described in detail below in conjunction with the accompanying drawings:

[0036] Such as figure 1 As shown, the present invention provides an information service system for the elderly based on a dual neural network behavior recognition model, including a cloud server and an elderly smart bracelet; the cloud server includes a behavior analysis database, a cloud computing platform, and a parent neural network module The smart bracelet for the elderly includes MCU, GPS module, RFID module, 3G / 4G module, Bluetooth module, ZigBee module, 6-axis gyroscope and acceleration sensor, photoelectric heart rate sensor, temperature sensor, sub-neural network module, external Reset, LED lights, motors and buttons; the cloud computing platform in the cloud server is connected to the behavior analysis database and the mother neu...

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Abstract

The invention provides an old people information service system based on a dual neural network behavior recognition model. The system comprises a cloud server and a smart old people bracelet. The cloud server is used for training the neural network behavior recognition model and is synchronized to the smart bracelet via cloud service, and the smart old people bracelet is used for acquiring posture and physiological data of old people, and realizing the functions of positioning, behavior recognition, health analysis, danger alarm and the like on the old people according to the acquired data. The system is small in data transmission volume, easy to realize, high in recognition speed and high in accuracy, and can provide high-quality health and safety information services for old people.

Description

technical field [0001] The invention relates to an information service system for the elderly, in particular to an information service system for the elderly based on a double neural network behavior recognition model. Background technique [0002] At present, my country is one of the countries with the largest elderly population in the world. Due to the one-child system in our country, the urban family structure has changed from the original large family structure of several generations to the current independent small family model. The change in the thinking and concept of the elderly has also prompted the modern elderly to increasingly tend to live independently without relying on their children. Under the mode of independent living of the elderly, it is the responsibility and obligation of the whole society to care for the elderly and help them pursue a happier life in their later years. [0003] The rapid development of aging has made the elderly consumer group a blue...

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Application Information

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IPC IPC(8): G06Q50/26G06N3/02
CPCG06Q50/26G06N3/02
Inventor 江沸菠董莉
Owner HUNAN NORMAL UNIVERSITY
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