David Jonas Paul, Helbig Thomas, Witte Hartmut
Fachgebiet Biomechatronik, Institut für Mechatronische Systemintegration, Fakultät für Maschinenbau, Technische Universität Ilmenau, 98693 Ilmenau, Germany.
neuroConn GmbH, Albert-Einstein-Straße 3, 98693 Ilmenau, Germany.
Bioengineering (Basel). 2023 Mar 3;10(3):324. doi: 10.3390/bioengineering10030324.
For technical or medical applications, the knowledge of the exact kinematics of the human hand is key to utilizing its capability of handling and manipulating objects and communicating with other humans or machines. The optimal relationship between the number of measurement parameters, measurement accuracy, as well as complexity, usability and cost of the measuring systems is hard to find. Biomechanic assumptions, the concepts of a biomechatronic system and the mechatronic design process, as well as commercially available components, are used to develop a sensorized glove. The proposed wearable introduced in this paper can measure 14 of 15 angular values of a simplified hand model. Additionally, five contact pressure values at the fingertips and inertial data of the whole hand with six degrees of freedom are gathered. Due to the modular design and a hand size examination based on anthropometric parameters, the concept of the wearable is applicable to a large variety of hand sizes and adaptable to different use cases. Validations show a combined root-mean-square error of 0.99° to 2.38° for the measurement of all joint angles on one finger, surpassing the human perception threshold and the current state-of-the-art in science and technology for comparable systems.
对于技术或医学应用而言,了解人手精确的运动学是发挥其处理和操纵物体以及与他人或机器通信能力的关键。测量参数数量、测量精度以及测量系统的复杂性、可用性和成本之间的最佳关系很难找到。利用生物力学假设、生物机电系统概念和机电一体化设计过程以及商用组件来开发一种传感手套。本文介绍的这款拟议中的可穿戴设备能够测量简化手部模型15个角度值中的14个。此外,还能采集指尖处的五个接触压力值以及整只手的六自由度惯性数据。由于采用模块化设计并基于人体测量参数进行手部尺寸检测,该可穿戴设备的概念适用于多种手部尺寸,并能适应不同的使用场景。验证表明,对于一根手指上所有关节角度的测量,组合均方根误差为0.99°至2.38°,超过了人类感知阈值以及同类系统当前的科技水平。