Author: Zhou Yiqing
Brief introduction: "guide tactic" is a mild somatosensory fitness product aimed at the needs of middle-aged and elderly people for home sports. At present, the aging of the population has become an extremely serious social problem in our country. It is estimated that China will become the country with the highest degree of aging population in the world in 2030. With the intensification of social aging, how to protect the health of the elderly and enrich the retirement life of the elderly is a common and urgent problem in society. The most direct and effective way to delay physiological aging is physical and mental exercise. For the elderly, regular exercise can not only improve their quality of life, but also delay the decline and disability of physical function caused by aging. Therefore, national fitness should be a major demand under the trend of aging population.
Mawangdui's "Guide Picture" is the earliest surviving volume of color silk paintings that record Taoist health guidance. "Guide" refers to the use of breathing to make the breath smooth, and then with pitch, flexion and extension movement to make the limbs flexible and strong. Studies have proved that long-term exercise Mawangdui guidance can improve physical level and promote mental health. This product hopes to use Mawangdui guidance as an exercise method, using motion capture and deep learning technology to solve the problem of lack of guidance and detection for exercise and fitness in the family environment, and at the same time consider the difficulties and difficulties of the middle-aged and elderly people with weakened physical fitness. Real needs, design a health product that targets middle-aged and elderly users, and guide users to complete the specified actions of Mawangdui guidance through AI fitness games. It aims to solve the problem of family sports, enhance the intelligence and interest of sports experience, and improve users' sports and life to meet the challenge of population aging.

Original link: https://pinwall.cn/project/37603