Fabric-Based Flexible Pressure Sensor Arrays with Ultra-Wide Pressure Range for Lower Limb Motion Capture System.

IF 10.7 1区 综合性期刊 Q1 Multidisciplinary
Research Pub Date : 2025-08-18 eCollection Date: 2025-01-01 DOI:10.34133/research.0835
Xiaohua Wu, Yuxuan Liang, Longsheng Lu, Shu Yang, Zhanbo Liang, Feilong Liu, Xiaoyu Lu, Bowen Xiao, Yilin Zhong, Yingxi Xie
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引用次数: 0

Abstract

The lower limb motion capture technology has garnered significant attention as a pivotal enabler in extended reality, sports science, film production, and medical rehabilitation. However, existing mature systems face critical challenges, including restricted operational environments, interference with natural activities, and cumbersome wearability. Here, a flexible insole pressure sensor array with an ultra-wide sensing range is developed using dip coating, laser cutting, and hot pressing, enabling lower limb motion capture. The developed fabric-based flexible pressure sensor exhibited an ultra-wide pressure range (3,770.9 kPa), high sensitivity (2.68 kPa-1), rapid response, recovery times (17.2 ms/3.5 ms), and high work life (>4 million loading/unloading cycles). The insole-shaped flexible pressure sensor array accurately measures pressure in different postures, achieving 95.5% classification accuracy across 10 dynamic and static poses. More importantly, the system achieved a joint position prediction accuracy of 7.8 pixels (~3.6 cm) in lower limb pose estimation. This high-precision lower limb motion capture system represents an ideal terminal for future extended reality applications, offering seamless integration, comfortable use, easily wearable design, and broad accessibility.

基于织物的超宽压力范围柔性压力传感器阵列用于下肢运动捕捉系统。
下肢动作捕捉技术作为扩展现实、运动科学、电影制作和医疗康复领域的关键推动者,已经引起了人们的广泛关注。然而,现有的成熟系统面临着严峻的挑战,包括受限的操作环境、对自然活动的干扰以及繁琐的可穿戴性。本文采用浸涂、激光切割和热压技术,开发了一种具有超宽传感范围的柔性鞋垫压力传感器阵列,实现了下肢运动捕捉。所开发的基于织物的柔性压力传感器具有超宽压力范围(3,770.9 kPa),高灵敏度(2.68 kPa-1),快速响应,恢复时间(17.2 ms/3.5 ms)和高工作寿命(bbb40万次加载/卸载循环)。鞋垫形状的柔性压力传感器阵列可以精确测量不同姿势的压力,在10个动态和静态姿势中实现95.5%的分类准确率。更重要的是,该系统在下肢姿态估计中实现了7.8像素(~3.6 cm)的关节位置预测精度。这种高精度下肢运动捕捉系统代表了未来扩展现实应用的理想终端,提供无缝集成,舒适使用,易于穿戴的设计和广泛的可访问性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Research
Research Multidisciplinary-Multidisciplinary
CiteScore
13.40
自引率
3.60%
发文量
0
审稿时长
14 weeks
期刊介绍: Research serves as a global platform for academic exchange, collaboration, and technological advancements. This journal welcomes high-quality research contributions from any domain, with open arms to authors from around the globe. Comprising fundamental research in the life and physical sciences, Research also highlights significant findings and issues in engineering and applied science. The journal proudly features original research articles, reviews, perspectives, and editorials, fostering a diverse and dynamic scholarly environment.
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