智能体育权重机 智能体育权重机
Olga Dos Santos Duarte1, Gustavo Jacinto1,2,3, Mário Véstias1,2
1Instituto Superior de Engenharia de Lisboa, Instituto Politécnico de Lisboa, Rua Conselheiro Emidio Navarro, 1, 1959-007 Lisboa, Portugal.
Sensors (Basel, Switzerland)
|June 27, 2025
概括
本研究引入了一个嵌入式系统,用于自动举重监督,使用卷积神经网络和IMU数据来确保正确的运动形式,并防止在无监督的炼期间受伤. 该低成本系统在实时监控中实现了近95%的准确性.
科学领域:
- 运动科学 运动科学 运动科学
- 生物机械工程 生物机械工程
- 嵌入式系统 嵌入式系统
背景情况:
- 举重是一项受欢迎的健身活动,但无监督的训练可能会因为不适当的形式而造成严重伤害.
- 目前的监督方法往往是不切实际的,或者无法进行个人培训.
研究的目的:
- 开发一个负担得起的,非人体嵌入式系统,用于实时自动监督举重炼.
- 通过对运动执行的准确反来提高用户安全性和优化运动表现.
主要方法:
- 使用嵌入式芯片系统 (SoC),集成惯性测量单元 (IMU) 来捕获运动数据.
- 一个卷积神经网络 (CNN) 模型被用于基于IMU数据的实时分类运动正确性.
- 该系统的设计是直接与重量合,用于轨迹分析.
主要成果:
- 该系统展示了实时监控功能,平均准确度接近95%,用于对正确的举重轨迹进行分类.
- 原型被安置在定制的3D打印外中,并在操作环境中验证.
- 该解决方案成本低廉,可适应各种举重炼.
结论:
- 拟议的嵌入式系统提供了一个可行,准确和低成本的解决方案,用于自动举重监督.
- 这项技术可以显著降低在没有直接监督的情况下训练的个人受伤的风险.
- 研究成果和模型的公开可用性鼓励进一步开发和采用.
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