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运用惯性陀螺技术(AGA)和虚拟陀螺技术(MBVG)测量在跑步机上跑步和行走时的步态参数,并对两种方法的可靠性进行对比研究。惯性陀螺技术使用一套可穿戴式无线惯性传感器,对行走和跑步中脚跟着地时刻(HS)及脚尖离地时刻(TO)进行捕捉。虚拟陀螺技术运用光学标记光电动态人体测量仪(CODA)进行动作捕捉。实验中选取了8名健康个体在跑步机上以2 kph和4 kph的速度行走,以8 kph和12kph速度跑步,采集有效数据,分别对数据进行处理。两种技术在不同速度下跨步周期时间的真误差均小于1ms,误差百分率小于1.6%。关于组内相关系数(ICC)的对比,在行走时,两种技术得出跨步周期时间数据一致(ICC>0.75);在跑步时,AGA-HMA的ICC值与AGA-ZA的ICC值高于HMA-ZA的ICC值。(1)两种陀螺技术均能够在一定程度上精确计算不同速度下的跨步周期时间。(2)在测量不同速度范围的跨步周期时,惯性陀螺技术相比虚拟陀螺技术可获得更高的信度,表明该技术可应用于较为复杂状况下的步态参数测量。(3)两种技术在测量其他步态参数如双支撑时间和摆动时间方面仍然存在信度较低等问题,实验方案可以考虑通过改变传感器位置进行进一步实验,关注可能需要的运动校准及补偿等,以提高其测量精度。
The gait parameters of running and walking on treadmill were measured by inertial gyro technique (AGA) and virtual gyro technique (MBVG), and the reliability of the two methods was compared. Inertial gyro technology uses a set of wearable wireless inertial sensors to capture the heel strike (HS) and toe (TO) moments during walking and running. Virtual gyroscopes use the optically-labeled electro-dynamic body measurement (CODA) for motion capture. Eight healthy individuals were selected to walk on treadmills at 2 kph and 4 kph, run at 8 kph and 12 kph, collect valid data, and process the data separately. The true errors of the two techniques at different speeds and stride cycle time are less than 1ms, the error percentage is less than 1.6%. Regarding the ICC correlation, both techniques resulted in consistent stride cycle time data (ICC> 0.75) during walking; ICC values for AGA-HMA and AGA-ZA ICC values were high during running ICC value for HMA-ZA. (1) Both types of gyro technology can accurately calculate the stride cycle time at different speeds to a certain extent. (2) Inertial gyro technology can obtain higher reliability than virtual gyro technology when measuring the stride cycle in different speed range, which indicates that the technique can be applied to the measurement of gait parameters under more complex conditions. (3) The two techniques still have low reliability in measuring other gait parameters such as double support time and swing time. The experimental scheme may consider further experiments by changing the position of the sensor, focusing on possible motion calibration and compensation, etc. , To improve its measurement accuracy.