Author: Zen and the Art of Computer Programming
1 Introduction
At present, 70%-80% of households in the world own their own houses. In the past few years, intelligent and green new decoration styles are becoming the mainstream. Traditional elite manufacturers have begun to separate users' attention from life and turn to consumption of products such as home appliances, audio and video, and diapers. Smart home has penetrated into all aspects of our lives, such as washing machines, air conditioners, smart TVs, kitchen appliances and other equipment can be personalized according to our different preferences, what's more, many families use mobile phones, tablets, watches to improve work efficiency. In addition, smart electric vehicles also allow more and more people to enjoy a high-quality and safe travel experience. Just as the era of big data has gradually become a social development trend, smart home is also an important part of human life in the future. It will become an important part of society and bring huge economic, social and environmental impacts. Therefore, how to effectively use smart home to improve the health of individuals and families has become a major and pressing topic. This article summarizes the latest research and practical experience in the field of smart home, expounds the challenges and development directions faced by the field of smart health, discusses the integration of smart health and smart home, and how to further improve the health of individuals and families, and provide smart health The latest research and practice in related fields. The first chapter of the article briefly reviews the development history, status quo and trends in the field of smart health, and introduces the definition, classification, and evaluation methods of smart health in detail. The second chapter introduces the basic concepts and terms related to smart health, including sensors, networks, machine learning, medical monitoring, heart disease prediction, etc. The third chapter discusses the core algorithms and principles of the current intelligent health field, including ECG image classification based on EEG features, fundus color Doppler ultrasound function recognition, facial quality evaluation system, intelligent motion detection, etc. The fourth chapter demonstrates the application of these core algorithms through actual code examples, and gives the corresponding performance analysis results. Finally, the fifth chapter focuses on the future development trends and challenges, such as the integration of cutting-edge technologies such as biochips, thin-layer spectroscopy, and brain-computer interfaces; the popularization of medical services in different places, and changes in family living habits. The sixth chapter expands a series of frequently asked questions and answers. The structure of the article is reasonable, pictures and texts are abundant, the structure is complete, the level is clear, and the exposition is profound and simple.