The Development of an IMU Integrated Clothes for Postural Monitoring Using Conductive Yarn and Interconnecting Technology

纱线 惯性测量装置 互连 导电体 印刷电路板 过程(计算) 计量单位 工程类 机械工程 计算机科学 电气工程 人工智能 操作系统 电信 物理 量子力学
作者
Sung-Won Kang,Hyeob Choi,Hyung-Il Park,Choi Byounggun,Hee-Jin Im,Dong-Chun Shin,Young-Giu Jung,Jun-Young Lee,Hong-Won Park,Sukyung Park,Jung‐Sim Roh
出处
期刊:Sensors [Multidisciplinary Digital Publishing Institute]
卷期号:17 (11): 2560-2560 被引量:29
标识
DOI:10.3390/s17112560
摘要

Spinal disease is a common yet important condition that occurs because of inappropriate posture. Prevention could be achieved by continuous posture monitoring, but most measurement systems cannot be used in daily life due to factors such as burdensome wires and large sensing modules. To improve upon these weaknesses, we developed comfortable "smart wear" for posture measurement using conductive yarn for circuit patterning and a flexible printed circuit board (FPCB) for interconnections. The conductive yarn was made by twisting polyester yarn and metal filaments, and the resistance per unit length was about 0.05 Ω/cm. An embroidered circuit was made using the conductive yarn, which showed increased yield strength and uniform electrical resistance per unit length. Circuit networks of sensors and FPCBs for interconnection were integrated into clothes using a computer numerical control (CNC) embroidery process. The system was calibrated and verified by comparing the values measured by the smart wear with those measured by a motion capture camera system. Six subjects performed fixed movements and free computer work, and, with this system, we were able to measure the anterior/posterior direction tilt angle with an error of less than 4°. The smart wear does not have excessive wires, and its structure will be optimized for better posture estimation in a later study.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小十发布了新的文献求助10
1秒前
狂看文献完成签到,获得积分10
1秒前
1秒前
1231发布了新的文献求助10
2秒前
渐入佳境完成签到,获得积分10
4秒前
5秒前
pluto应助科研通管家采纳,获得10
6秒前
6秒前
andong应助科研通管家采纳,获得10
6秒前
fd163c应助科研通管家采纳,获得10
6秒前
科目三应助科研通管家采纳,获得10
6秒前
星辰大海应助科研通管家采纳,获得10
7秒前
慕青应助科研通管家采纳,获得10
7秒前
斯文败类应助科研通管家采纳,获得10
7秒前
顾矜应助科研通管家采纳,获得10
7秒前
小二郎应助科研通管家采纳,获得10
7秒前
领导范儿应助科研通管家采纳,获得10
7秒前
7秒前
Owen应助科研通管家采纳,获得10
7秒前
7秒前
彭于晏应助科研通管家采纳,获得10
7秒前
汉堡包应助科研通管家采纳,获得10
7秒前
渐入佳境发布了新的文献求助10
7秒前
SYLH应助科研通管家采纳,获得10
7秒前
星辰大海应助科研通管家采纳,获得10
8秒前
8秒前
biubiubiu完成签到 ,获得积分10
10秒前
研友_VZG7GZ应助function采纳,获得10
10秒前
11秒前
16秒前
SYLH应助漂亮醉波采纳,获得10
20秒前
tango完成签到,获得积分10
20秒前
大模型应助谦让傲菡采纳,获得10
20秒前
fanfan55完成签到,获得积分10
21秒前
大清发布了新的文献求助10
21秒前
科研通AI5应助个性的十三采纳,获得10
23秒前
忆往昔完成签到,获得积分10
23秒前
23秒前
小江完成签到,获得积分10
24秒前
lutos发布了新的文献求助10
24秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3740384
求助须知:如何正确求助?哪些是违规求助? 3283238
关于积分的说明 10034517
捐赠科研通 3000118
什么是DOI,文献DOI怎么找? 1646328
邀请新用户注册赠送积分活动 783510
科研通“疑难数据库(出版商)”最低求助积分说明 750394