智能运动设备使用 triboelectric 自动供电传感器进行高强度间歇训练 (HIIT)
Divij Bhatia1, Dongchan Kim1, Hyung-Soon Park1
1Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, 34141, South Korea.
Biosensors & bioelectronics
|September 20, 2025
概括
这项研究引入了一个智能炼设备 (Exercise-TENG),可以根据用户的表现自动调整炼强度. 这种个性化的方法增强了高强度间歇训练 (HIIT),并提供了动力,特别是用于康复.
科学领域:
- 生物医学工程 生物医学工程
- 可穿戴技术可穿戴技术
- 运动生理学 运动生理学
背景情况:
- 高强度间歇训练 (HIIT) 提供了高效的炼,但商业设备缺乏个性化的强度调整.
- 现有的运动机需要手动调整或提供静态的预编程程序,无法适应个人用户的性能水平.
研究的目的:
- 开发一个智能炼设备,即炼-TENG,它可以自动调整训练强度以适应用户的表现.
- 集成一个 triboelectric 纳米发电机实时性能监测和强度调整.
- 通过收获的能量反来增强用户的动力.
主要方法:
- 开发了一个使用 triboelectric 纳米发电机和行星轮系统的演习-TENG.
- 从用户操作中收集能量,将其存储在电容器中,并使用其水平来调节设备电阻.
- 实现了一个LabVIEW接口,可以实时反收获的能源.
- 进行HIIT双曲和三伸展练习,测量肌肉激活.
主要成果:
- 炼-TENG成功地根据收获的能量调整了阻力,反映了用户的性能.
- 实时反通过LabVIEW接口提供了一个激励元素.
- 通过HIIT运动期间的肌肉激活测量来验证有效性.
结论:
- 运动-TENG为HIIT提供了个性化和适应性的方法,优于传统设备.
- 该设备的适应性阻力和动机反对于患者康复和家庭炼特别有益.
- 这种智能设备代表了个性化健身和治疗应用的可行解决方案.
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