Fraunhofer Joint Lab IDEAS, Department of Industrial Engineering, University of Naples Federico II, 80125 Naples, Italy.
Sensors (Basel). 2020 Jan 31;20(3):783. doi: 10.3390/s20030783.
This paper presents IART, a novel inertial wearable system for automatic detection of infringements and analysis of sports performance in race walking. IART algorithms are developed from raw inertial measurements collected by a single sensor located at the bottom of the vertebral column (L5-S1). Two novel parameters are developed to estimate infringements: loss of ground contact time and loss of ground contact step classification; three classic parameters are indeed used to estimate performance: step length ratio, step cadence, and smoothness. From these parameters, five biomechanical indices customized for elite athletes are derived. The experimental protocol consists of four repetitions of a straight path of 300 m on a long-paved road, performed by nine elite athletes. Over a total of 1620 steps (54 sequences of 30 steps each), the average accuracy of correct detection of loss of ground contact events is equal to 99%, whereas the correct classification of the infringement is equal to 87% for each step sequence, with a 92% of acceptable classifications. A great emphasis is dedicated on the user-centered development of IART: an intuitive radar chart representation is indeed developed to provide practical usability and interpretation of IART indices from the athletes, coaches, and referees perspectives. The results of IART, in terms of accuracy of its indices and usability from end-users, are encouraging for its usage as tool to support athletes and coaches in training and referees in real competitions.
本文提出了 IART，这是一种新颖的惯性可穿戴系统，用于自动检测竞走运动中的违规行为和分析运动表现。IART 算法是从位于脊柱底部（L5-S1）的单个传感器收集的原始惯性测量值中开发出来的。开发了两个新的参数来估计违规行为：地面接触时间损失和地面接触步分类损失；实际上还使用了三个经典参数来估计性能：步长比、步频和平滑度。从这些参数中，得出了五个专为精英运动员定制的生物力学指标。实验方案包括九名精英运动员在长铺路面上直道 300 米的四次重复。在总共 1620 步（54 个 30 步序列）中，地面接触事件正确检测的平均准确率等于 99%，而每个步序列的违规正确分类等于 87%，可接受的分类率为 92%。非常重视 IART 的以用户为中心的开发：实际上开发了直观的雷达图表示，以便从运动员、教练和裁判员的角度提供 IART 指标的实际可用性和解释。从最终用户的指标准确性和可用性方面来看，IART 的结果令人鼓舞，有望成为支持运动员和教练训练以及裁判员在实际比赛中的工具。
