运动捕捉
计算机科学
运动(物理)
匹配移动
跟踪(教育)
人体运动
织物
人机交互
人工智能
测距
运动(音乐)
计算机视觉
有线手套
模拟
自动识别和数据采集
可穿戴计算机
实时计算
运动分析
跟踪系统
生物运动
运动传感器
活动识别
无人机
可穿戴技术
作者
Huanbo Sun,Yao Feng,Pei-Chun Kao,Michael J. Black,Rebecca Kramer-Bottiglio
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2026-03-04
卷期号:12 (10): eaea2646-eaea2646
标识
DOI:10.1126/sciadv.aea2646
摘要
Wearable technology has shown notable promise for tracking human motion, offering valuable insights for fields ranging from biomechanics to healthcare. Traditional motion capture systems, however, are often bulky and disruptive, making them impractical for daily use. Advances in textile-based sensing offer a promising alternative, enabling seamless integration of air- and sweat-permeable sensors into everyday clothing. Here, a sensorized textile suit designed for unobtrusive full-body motion capture is presented. The suit is capable of accurately tracking complex movements without interfering with routine activities. This wearable, using an individual-customized network of fabric-based sensors, autonomously identifies and monitors movement angles and patterns, providing insights into physical range, activity frequency, and exertion levels. Language models are shown to interpret motion data into descriptive language, enhancing its potential for real-world applications. This sensorized textile suit and corresponding algorithms represent a step forward in accessible, continuous movement monitoring in the form of everyday clothing, opening avenues for studying human behavior and health in natural environments.
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