Middle aged and elderly people good health service intelligent wearing device and deep learning method
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A smart wearable device and deep learning technology, applied in the field of smart wearable devices, can solve the problems of health treatment plan evaluability, poor traceability, poor reliability, and lack of attention to the spiritual life needs of the elderly.
Inactive Publication Date: 2015-08-26
SHENZHEN GLOBAL LOCK SAFETY SYST ENG
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However, the existing patented technologies and products have the following main disadvantages: 1. The reliability of the safety and health detection methods is poor, and the rate of false positives and false negatives is high; 2. The measurement function needs to be manually started by the user through a small screen. Low degree of modernization, poor human-computer interaction, and poor operability; 3. No consideration of the convenience needs of the elderly; 4. Non-systematic closed-loop solutions, poor evaluability and traceability of health treatment programs; 5. No attention to the elderly spiritual needs, etc.
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[0044] In order to make the purpose, technical solutions and beneficial effects of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.
[0045] An embodiment of the present invention provides an intelligent health service system for middle-aged and elderly people with high artificial intelligence, see image 3 , including three components: smart wearable device 100 , cloud health service platform 200 and smart terminal 300 . The smart wearable device 100 communicates online with the Cloud Ankang service platform 200 through the wireless communication module 117 or the mobile communication module 115, and the Cloud Ankang service platform 200 communicates online with the smart terminal 300 through a broadband or mobile comm...
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Abstract
The invention discloses a middle aged and elderly people good health service intelligent wearing device and a deep learning method. The intelligent wearing device comprises a moving posture module, a gesture recognition module, a physiological sign module, an environmental detection module, a video processing module, a wireless communication module, a charging module, a central processing unit, a storer, a display module, a mobile communication module, an alarm module, a wireless transceiver module and a deep learning module, the device is used for analyzing, learning and storing daily route habits, temperature environment hobbies and entertainment media program hobbies of a wearer, recommended parameters that are provided by a cloud good health service platform and good for health of the wearer are combined, thereby, the device can intelligently automatically take or can be authorized by the wearer to take daily manual intelligent appliance operating actions of the wearer and warn the wearer against bad living habits and hobbies, the wearer can have reasonable healthy living habits, and healthy life that are highly intelligent, automatic, comfortable, scientific and extremely friendly to human can be provided for the wearer.
Description
technical field [0001] The present invention relates to the technical field of smart wearable devices, in particular to a smart wearable device for middle-aged and elderly people's health services and a deep learning method. Background technique [0002] At present, the total number of elderly people over the age of 60 in the world has reached 600 million, and the elderly population in more than 60 countries has reached or exceeded 10% of the total population, and has entered the ranks of the population aging society. In the 21st century, aging will become the world's most one of the serious problems. China's existing elderly population has exceeded 160 million, and it is increasing at a rate of nearly 8 million every year. Experts predict that by 2050, China's elderly population will reach one-third of the total population. With the rapid increase of the elderly population, especially the average annual growth rate of 1 million elderly people over 80 years old and disabled...
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