Design of UHF RFID Sensor-Tags for the Biomechanical Analysis of Human Body Movements
Design of UHF RFID Sensor-Tags for the Biomechanical Analysis of Human Body Movements
复制标题
DOI：
10.1109/jsen.2021.3069113
复制
发表时间：
2021-07-01
影响因子：
4.3
通讯作者：
Catarinucci, Luca
中科院分区：
文献类型：
--
作者：
Colella, Riccardo;Tumolo, Maria Rosaria;Catarinucci, Luca
本文介绍了设计和开发的电池辅助无源射频识别（RFID）标签在超高频带集成惯性测量单元（IMU）传感器测试人体运动的生物力学分析。通过一个紧凑和高效的曲折平面倒F天线（PIFA）增强，该设备利用了一个特定的RFID芯片具有双重访问-有线和无线-到存储器。还预见到适当去耦的单元电池以提高芯片灵敏度并向超低功率微控制器和传感器供电。该设备已实现使用现成的低成本的分立元件FR 4基板上，验证，并在捕捉真实的人体运动测试。两个传感器标签已被应用于在RFID读取器天线前移动的个体的骨盆和躯干上。之后，传感器数据已被收集，处理和过滤与特定的算法，并用于控制肌肉骨骼虚拟模型在OpenSense软件工具。结果表明，整个系统正确地再现了所执行的动作，证明了所提出的RFID传感器在无线运动捕捉应用中的适当性。
This paper presents the design and the development of a Battery Assisted Passive Radio-Frequency IDentification (RFID) tag in the Ultra High-Frequency band integrated with inertial measurement unit (IMU) sensors tested for the biomechanical analysis of human body movements. Enhanced by a compact and efficient meandered Planar Inverted-F Antenna (PIFA), the device exploits a specific RFID chip having a dual-access -wired and wireless- to the memory. A properly decoupled cell battery is also foreseen to boost the chip sensitivity and to supply power to an ultra-low power microcontroller and to the sensors. The device has been realized using off-the-shelf low-cost discrete components on FR4 substrate, validated, and tested in capturing real human movements. Two sensor-tags have been applied on the pelvis and on the torso of an individual moving in front of the RFID Reader antenna. Afterward, sensor data have been collected, processed, and filtered with specific algorithms, and used to control a musculoskeletal virtual model in the OpenSense software tool. The results show that the whole system correctly reproduces the performed movements, demonstrating the appropriateness of the proposed RFID-sensor in wireless movement capture applications.