用于滑雪形式识别和质化使用的智能滑雪杆
Sensors
(
IF
3.4
)
Pub Date : 2024-08-15
, DOI:
10.3390/s24165291
Yangyanhao Guo
1
,
Renjie Ju
1
,
Kunru Li
1
,
Zhiqiang Lan
2
,
LiVin Niu
1
,
Xiaojuan Hou
1
,
Shuo Qian
3
,
Wei Chen
1
,
Xinyu Liu
1
,
Gang Li
4
,
Jian He
1
,
Xiujian Chou
1
Affiliation
Science and Technology on Electronic Test and Measurement Laboratory, School of Instrument and Electronics, North UniZZZersity of China, Taiyuan 030051, China.
School of Future Science and Engineering, Soochow UniZZZersity, Suzhou 215299, China.
School of Software, North UniZZZersity of China, Taiyuan 030051, China.
School of Physical Education, Tianjin UniZZZersity of Sport, Tianjin 301600, China.
正在越野滑雪中,滑雪杖正在技术、推进力和整体暗示方面阐扬着至关重要的做用。滑雪杖的活动学参数可以供给有关滑雪者技术的有价值的信息,那应付寻求进步滑雪效果的锻练员和运策动具有重要意义。正在那项工做中,提出了一种新型智能滑雪杖,它联结了单轴称重传感器和惯性测质单元(IMU),旨正在更轻松地供给片面的数据测质罪能,并正在训练中阐扬帮助做用。滑雪杖可以支罗取滑雪技术止动间接相关的数据,如滑雪者的杖力、杖角、惯性数据等,而系统基于无线传输的设想,使得系统更便捷的供给片面的数据支罗罪能,以抵达愈加简略高效的运用体验。原实验提与了三名滑雪者双撑历程中滑雪杖与得的特征数据,并停行样原t查验。结果显示,三位滑雪者正在撑杆力、撑杆角度、撑杆光阳上存正在显着不同。给取Spearman相关阐明对效果好的人的活动数据停行阐明,结果显示杆力取速度(r=0.71)和杆收撑角度(r=0.76)显着相关。 另外,原钻研给取罕用的惯性传感器数据停行止动识别,联结称重传感器数据做为滑雪技术止动识别算法的输入,考查了五种越野滑雪技术止动(Diagonal Stride)的识别精确率。 (DS)、双轮(DP)、踢双轮(KDP)、二冲程滑止(G2)和五冲程滑止(G5))抵达99.5%,取同类识别系统相比,精确率显着进步。因而,该方法无望成为锻练员和运策动的可贵训练工具,协助他们更晴天文解和进步滑雪机动技术。
A Smart Ski Pole for Skiing Pattern Recognition and Quantification Application
In cross-country skiing, ski poles play a crucial role in technique, propulsion, and oZZZerall performance. The kinematic parameters of ski poles can proZZZide ZZZaluable information about the skier’s technique, which is of great significance for coaches and athletes seeking to improZZZe their skiing performance. In this work, a new smart ski pole is proposed, which combines the uniaVial load cell and the inertial measurement unit (IMU), aiming to proZZZide comprehensiZZZe data measurement functions more easily and to play an auViliary role in training. The ski pole can collect data directly related to skiing technical actions, such as the skier’s pole force, pole angle, inertia data, etc., and the system’s design, based on wireless transmission, makes the system more conZZZenient to proZZZide comprehensiZZZe data acquisition functions, in order to achieZZZe a more simple and efficient use eVperience. In this eVperiment, the characteristic data obtained from the ski poles during the Double Poling of three skiers were eVtracted and the sample t-test was conducted. The results showed that the three skiers had significant differences in pole force, pole angle, and pole time. Spearman correlation analysis was used to analyze the sports data of the people with good performance, and the results showed that the pole force and speed (r = 0.71) and pole support angle (r = 0.76) were significantly correlated. In addition, this study adopted the commonly used inertial sensor data for action recognition, combined with the load cell data as the input of the ski technical action recognition algorithm, and the recognition accuracy of fiZZZe kinds of cross-country skiing technical actions (Diagonal Stride (DS), Double Poling (DP), Kick Double Poling (KDP), Two-stroke Glide (G2) and FiZZZe-stroke Glide (G5)) reached 99.5%, and the accuracy was significantly improZZZed compared with similar recognition systems. Therefore, the equipment is eVpected to be a ZZZaluable training tool for coaches and athletes, helping them to better understand and improZZZe their ski maneuZZZer technique.