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引用次数: 0
摘要
信息技术作为新一轮科技和产业变革的驱动力,为体育训练带来了新的机遇。本文设计了基于加速度变化正弦波形曲线的动态阈值阶跃监测策略,并利用近红外光谱监测血氧饱和度含量。通过对高频运动负荷监测信息的挖掘,深入探讨了智能运动训练模型。在 S 省 X 大学的应用效果研究中,该模型成功测得学生的平均心率为 160.91 次/分钟,平均能量消耗为 137.27 千卡,为体育教学提供了重要的决策依据。这一研究成果为高校体育教学改革提供了科学的实施方案,确保体育训练高效、高质地完成。
The Innovative Development Path of Intelligent Sports Training in Colleges and Universities under the Perspective of National Fitness
Information technology, as the driving force of a new round of technological and industrial changes, brings new opportunities to sports training. In this paper, a dynamic threshold step monitoring strategy based on sinusoidal waveform curve of acceleration change is designed, and blood oxygen saturation content is monitored by near-infrared spectroscopy. By mining the high-frequency exercise load monitoring information, the intelligent sports training model is discussed in depth. In the application effect study at X University of S Province, the model successfully measured the average heart rate of students to be 160.91 beats/minute and the average energy consumption to be 137.27 Kcal, which provided a critical decision-making basis for physical education teaching. This finding offers a scientific implementation program for reforming physical education in colleges and universities, ensuring that physical training is accomplished efficiently and highly.