数字时代老年人体能训练的现状与优化策略

Mingtian Tan
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引用次数: 0

摘要

随着数字技术的发展和人们生活水平的提高,老年人体能下降已成为一个亟待解决的问题。体能通常包括力量、柔韧性、灵敏性、速度、协调性等能力,这些能力不仅在运动成绩中发挥着重要作用,对老年人的日常生活也至关重要。本研究调查了数字时代老年人体能训练的现状,旨在探索科学方法的优化和数字产品在改进训练策略中的作用。本文通过文献研究和逻辑分析,收集并分析相关资料,进一步探究科技赋能下的老年人体能训练现状及其训练策略。通过对相关资料的调查发现,目前老年人对科学训练的认知度较低,尤其是对科学训练的概念认识不足。此外,老年人从事体能训练的主要活动是健身气功、广场舞等类似项目,这表明老年人倾向于从事有氧运动,通过集体活动满足心理需求。本文结合当前的大型数字技术和科技产品,提出了老年人体能训练的优化策略。其中包括利用机器人学习和智能设备,通过智能设备收集信息,利用大型模型分析收集到的数据,制定个性化的训练方案,提高训练效率。此外,智能手环、Firstbeat 心率监测系统和 Gymaware 监测系统等可穿戴设备可以收集身体数据,反映身体状况,进一步降低受伤风险。VR 虚拟互动技术可用于训练认知反应,VBT 技术可使锻炼更有效率,降低受伤风险。随着技术的不断进步和人们认识的不断提高,实现健康中国指日可待。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Current Status and Optimization Strategies of Physical Fitness Training for the Elderly in the Digital Age
With the advent of digital technology and the improvement of people's living standards, the decline of physical fitness among the elderly has become an urgent problem to be addressed. Physical fitness typically includes abilities such as strength, flexibility, agility, speed, coordination, and other capacities, which not only play an important role in athletic performance but are also crucial for the daily lives of the elderly. This study investigates the current state of physical fitness training for the elderly in the digital age and aims to explore the optimization of scientific approaches and the role of digital products in improving training strategies. Through literature research and logical analysis, this paper collects and analyzes related data to further explore the status of the elderly's physical fitness training and their training strategies under the empowerment of science and technology. The investigation of related materials reveals that currently, the elderly have a low awareness of scientific training, especially regarding the concept of scientific training. Moreover, the main activities engaged in by the elderly for physical fitness training are fitness Qigong, square dancing, and other similar projects, which indicates that the elderly tend to engage in aerobic exercises and meet their psychological needs through group activities. By integrating current large-scale digital technologies and scientific products, the paper proposes optimization strategies for the elderly's training. These include utilizing robot learning and smart devices to collect information through smart devices, analyzing the collected data using large models to develop individualized training programs to improve efficiency. Additionally, wearable devices like smart bracelets, Firstbeat heart rate monitoring systems, and Gymaware monitoring systems can collect data on the body, reflecting physical conditions and further reducing the risk of injury. VR virtual interactive technology can be used to train cognitive responses, and VBT technology can make exercises more efficient, reducing the risk of injury. As technology continues to advance and awareness increases, achieving a healthy China is within reach.
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