一种用于人体运动的可穿戴实时运动学和动力学测量传感器装置
A Wearable Real-time Kinematic and Kinetic Measurement Sensor Setup for Human Locomotion.
作者信息
Wang Huawei, Basu Akash, Durandau Guillaume, Sartori Massimo
机构信息
Department of Biomechanical Engineering, University of Twente, Enschede, the Netherlands.
Department of Mechanical Engineering, McGill University, Montreal, Canada.
出版信息
Wearable Technol. 2023 Apr 11;4. doi: 10.1017/wtc.2023.7.
Current laboratory-based setups (optical marker cameras + force plates) for human motion measurement require participants to stay in a constrained capture region which forbids rich movement types. This study established a fully wearable system, based on commercially available sensors (inertial measurement units + pressure insoles) that can measure both kinematic and kinetic motion data simultaneously and support wireless frame-by-frame streaming. In addition, its capability and accuracy were tested against a conventional laboratory-based setup. An experiment was conducted, with 9 participants wearing the wearable measurement system and performing 13 daily motion activities, from slow walking to fast running, together with vertical jump, squat, lunge and single-leg landing, inside the capture space of the laboratory-based motion capture system. The recorded sensor data were post-processed to obtain joint angles, ground reaction forces (GRFs), and joint torques (via multi-body inverse dynamics). Compared to the laboratory-based system, the established wearable measurement system can measure accurate information of all lower limb joint angles (Pearson's r = 0.929), vertical GRFs (Pearson's r = 0.954), and ankle joint torques (Pearson's r = 0.917). Center of pressure (CoP) in the anterior-posterior direction and knee joint torques were fairly matched (Pearson's r = 0.683 and 0.612, respectively). Calculated hip joint torques and measured medial-lateral CoP did not match with the laboratory-based system (Pearson's r = 0.21 and 0.47, respectively). Furthermore, both raw and processed datasets are openly accessible (). Documentation, data processing codes, and guidelines to establish the real-time wearable kinetic measurement system are also shared (https://github.com/HuaweiWang/WearableMeasurementSystem).
当前用于人体运动测量的基于实验室的设置(光学标记相机+测力板)要求参与者待在受限的捕捉区域内,这限制了丰富的运动类型。本研究建立了一种完全可穿戴系统,该系统基于商用传感器(惯性测量单元+压力鞋垫),能够同时测量运动学和动力学运动数据,并支持无线逐帧流传输。此外,还针对传统的基于实验室的设置对其能力和准确性进行了测试。进行了一项实验,9名参与者佩戴可穿戴测量系统,在基于实验室的运动捕捉系统的捕捉空间内进行13种日常运动活动,从慢走到快跑,以及垂直跳跃、深蹲、弓步和单腿落地。对记录的传感器数据进行后处理,以获得关节角度、地面反作用力(GRF)和关节扭矩(通过多体逆动力学)。与基于实验室的系统相比,所建立的可穿戴测量系统能够测量所有下肢关节角度的准确信息(皮尔逊相关系数r = 0.929)、垂直GRF(皮尔逊相关系数r = 0.954)和踝关节扭矩(皮尔逊相关系数r = 0.917)。前后方向的压力中心(CoP)和膝关节扭矩相当匹配(皮尔逊相关系数分别为0.683和0.612)。计算得到的髋关节扭矩和测量得到的内外侧CoP与基于实验室的系统不匹配(皮尔逊相关系数分别为0.21和0.47)。此外,原始数据集和处理后的数据集均可公开获取()。还分享了建立实时可穿戴动力学测量系统的文档、数据处理代码和指南(https://github.com/HuaweiWang/WearableMeasurementSystem)。