Stamm Andy, Hartanto Ronny, Becker Noah
Faculty of Technology & Bionics, Rhine-Waal University of Applied Sciences, 47533 Cleve, Germany.
School of Engineering and Built Environment, Griffith University, Nathan 4111, QLD, Australia.
Sensors (Basel). 2025 Apr 8;25(8):2354. doi: 10.3390/s25082354.
This research utilizes a self-developed inertial sensor in conjunction with a motion tracking system and four Smart Bands to record a runner's movements and extract parameters such as step numbers, length, and frequencies at different running speeds. The data obtained were processed to find the number of steps taken. These steps were also recorded by an IMU (inertial measurement unit) and motion tracking system (MoCap-Motion Capturing) and used to compare the different systems and find their agreement at different running speeds. The results show a very strong correlation between the IMU and the motion tracking system with r = 0.968 at 6 km/h, r = 0.991 at 8 km/h, r = 0.991 at 10 km/h, and r = 0.996 at 12 km/h. The Xiaomi Mi Band 2 showed an r = 0.861 at 6 km/h, r = 0.985 at 8 km/h, r = 0.977 at 10 km/h, and r = 0.987 at 12 km/h and can therefore be considered a good replacement for an IMU.
本研究利用自行开发的惯性传感器,结合运动跟踪系统和四个智能手环,记录跑步者的运动情况,并提取不同跑步速度下的步数、步长和频率等参数。对获取的数据进行处理以得出所走步数。这些步数也由惯性测量单元(IMU)和运动跟踪系统(动作捕捉)记录,并用于比较不同系统,找出它们在不同跑步速度下的一致性。结果表明,IMU与运动跟踪系统之间具有很强的相关性,在6公里/小时时r = 0.968,在8公里/小时时r = 0.991,在10公里/小时时r = 0.991,在12公里/小时时r = 0.996。小米手环2在6公里/小时时r = 0.861,在8公里/小时时r = 0.985,在10公里/小时时r = 0.977,在12公里/小时时r = 0.987,因此可以被视为IMU的良好替代品。