By carrying out a comparative analysis on experiment data statistically, the authors probed into the reliability of smart sports bands in big data analysis, and revealed the following findings: the order of accuracy of the steps recorded by smart sports bands is as follows: going downstairs > going upstairs > fast walking > normal walking > slow working, the steps recorded by a smart sports band is significantly different from the actual steps, and the error is big; a smart sports band cannot identify the wearer's exercise condition, its working principle has certain deficiency, which causes the big error; the heart rate datum recorded by a sports band is very significantly different from the actual datum, inconsistent with the actual recording, and the error is big, its wearing position being far away from the torso and the heart rate algorithm study being not mature enough may be the main causes for the big heart rate monitoring error; the sleep monitoring and energy consumption monitoring algorithms are too simple, sleep recording and energy consumption recording can only be used as a sort of refer-ence values; via correlation analysis it is indicated that the 5 smart sports bands' algorithms are basically consistent and show good consistency. Suggestion: in daily life, people should not overly and blindly believe the accuracy of smart sports band data, but should fully utilize a smart sports band to know one's own exercise patterns, and then arrange exercise rationally.%通过统计学意义对实验数据进行对比分析,探讨智能运动手环在大数据分析中的可靠性.研究发现:智能运动手环记录步数的准确性排序为下楼梯>上楼梯>快走>正常走>慢走,智能运动手环记录步数与实际情况比较存在显著差异且误差较大;智能运动手环无法辨别穿戴者的运动状态,其工作原理存在一定不足导致出现误差较大;智能运动手环记录心率数据与实际数据比较存在非常显著差异,与实际记录情况不符并且出现误差大,其佩戴位置远离躯干以及心率算法研究不够成熟可能是导致心率监测误差较大的主要原因;睡眠监测与能量消耗监测算法过于简单,记录结果仅可作为一种参考值;通过相关性分析表明,5款智能运动手环算法基本呈现出较好的一致性.建议:在日常生活中不要过于盲目相信智能运动手环数据,而应充分利用好智能运动手环以了解自身的运动规律,进而合理安排运动.
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