Journal of Textile Research ›› 2025, Vol. 46 ›› Issue (04): 179-186.doi: 10.13475/j.fzxb.20240701801

• Apparel Engineering • Previous Articles     Next Articles

Design of smart garment for posture correction

WANG Jun1,2(), YIN Xiaoyu1, ZHOU Xiaoqi1, WANG Siyuan1   

  1. 1. School of Fashion, Dalian Polytechnic University, Dalian, Liaoning 116034, China
    2. National Demonstration Center for Experimental Fashion Design and Engineering Education, Dalian Polytechnic University, Dalian, Liaoning 116034, China
  • Received:2024-07-18 Revised:2025-01-17 Online:2025-04-15 Published:2025-06-11

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Abstract:

Objective Prolonged sitting and poor posture are common for people at modern times, causing shoulder and back pain, spinal deformities, muscle strain, and other health issues. Accelerometers are widely used in posture correction wearables due to their portability and accuracy. However, current devices have limitations, including narrow monitoring range, low scientific rigor in evaluation methods, and poor comfort. These issues reduce their effectiveness in dynamic posture correction. Developing better evaluation methods and more efficient smart posture correction clothing is important.

Methods This study was focused on improving posture recognition methods. Young women were selected as the research subjects. Dynamic posture variation patterns were analyzed. A recognition and correction method was proposed leading to the development of smart posture correction garment. Upper body posture data were collected using photography. Trunk inclination, hip joint angle, upper back angle, and lower back angle were chosen as variables. Static data analysis divided the samples into normal and slouched posture groups. Dynamic posture changes were observed and analyzed. A method to identify dynamic postures was developed. Postures were considered normal when the upper back angle was in the range from 12.6° to 20.8° and the lower back angle in the range from 7.6° to 14.6°. Abnormal postures lasting less than 8 s were excluded from slouched postures. The smart garment used MPU6050 accelerometers for dual-point monitoring. Core components included accelerometers, a STM32 board, and buzzers.

Results In the experiment designed to collect dynamically seated posture data, human posture data were collected using photography, with a 1 h continuous measurement cycle. A total of 18 monitoring cycles were collected, resulting in 164 self-adjustment cycles and 649 valid sample data sets. After judgment, 378 sets of normal posture feature angle data and 271 sets of slouched posture data were obtained. The experimental data were analyzed, and combined with previous research, a dynamic posture judgment method suitable for sedentary individuals was derived. The upper back angle threshold for normal posture was [12.6°, 20.8°], and the lower back angle threshold was [7.6°, 14.6°]. An accelerometer was used to monitor the dynamic angles of the posture. An intelligent posture correction garment was designed and manufactured, and testing showed that the posture recognition accuracy of the smart garment was 97.33%, with a correctness rate of 95%, indicating good recognition performance. Wearability evaluations indicated that the participants were generally satisfied, suggesting that the smart posture correction garment has practical value.

Conclusion This study takes young women as the research object. Through the study of dynamic sitting characteristics and the change rule of sitting posture, and the use of acceleration sensors to monitor and analyse the angle of the sitting characteristics, a more accurate range of activity of the dynamic sitting characteristics angle of young women was obtained, and a scientific method of sitting posture recognition was proposed. Combined with this recognition method, an efficient intelligent posture correction garment was developed, and the design and evaluation of the garment was completed. The above research provides a theoretical basis for the posture recognition and evaluation method, and provides an important reference for the commercialisation and promotion of smart posture correction garments and wearable devices. This research can help improve individuals' poor postural behaviour and increase the value of wearable technology in health management. In addition, the study of human posture characteristics is important for solving the back health problems of sedentary people, so the smart posture corrective clothing has a broad market prospect. Modularly designed smart posture corrective clothing must integrate accurate detection, wearing comfort, invisibility and flexibility to adapt to a wider range of users and practical application scenarios.

Key words: sitting posture recognition, accelerometer, smart garment, postural feature angle, modular design

CLC Number: 

  • TS941

Tab.1

Characteristic variables of sitting position"

特征角 定义
上半身倾斜角 第七颈椎点和髋关节连线与铅垂线的夹角
髋部角度 第七颈椎点和髋关节连线与水平线的夹角
后背上角 肩胛凸点和后颈点连线与冠状面的夹角
后背下角 肩胛凸点和后腰凹点连线与冠状面的夹角

Fig.1

Schematic diagram of sitting posture and human characteristic angles. (a) Hunchback sitting; (b) Normal sitting"

Fig.2

Schematic of sitting feature angles in Screen Protractor"

Fig.3

Results of normality test for dorsal feature angle. (a) Normal Q-Q plot of upper dorsal horn; (b) Normal Q-Q plot of inferior dorsal corner"

Tab.2

Descriptive analysis table"

研究
变量		 坐姿
状态		 统计
量		 最小值/
(°)		 最大值/
(°)		 平均值/
(°)		 标准差
后背
上角		 正常 378 10.6 23.8 17.8 2.7
驼背 271 12.8 38.9 24.2 5.1
后背
下角		 正常 378 6.5 19.9 10.8 2.4
驼背 271 -29.3 8.7 -10.4 9.8

Fig.4

Normal and hunchback sitting position line. (a) Line diagram of upper corner of back; (b) Line diagram of lower corner of back"

Fig.5

System functional structure diagram"

Tab.3

Names and functions of electronic components"

电子元件名称 功能
STM32F103C8T6单片机 系统编译运算、数据存储
MPU6050加速度传感器 测量人体坐姿特征角度
蜂鸣器、扬声器 信号反馈与提醒
OLED显示屏 识别结果显示

Fig.6

Physical hardware drawing"

Fig.7

Clothing style and structure design. (a) Front; (b) Back; (c) Inner layer"

Fig.8

Sample fitting effect. (a) Front; (b) Back; (c) Side"

Tab.4

Functional test results statistics"

测试
编号		 实际
坐姿		 特征角/(°) 是否
提醒		 识别
情况
后背上角 后背下角
1 正常 17.1 10.9 否 正确
驼背 29.1 -14.7 是 正确
正常 19.2 11.0 否 正确
2 正常 17.1 8.6 否 正确
驼背 30.2 -15.5 是 正确
正常 18.0 13.4 否 正确
3 正常 16.1 8.7 否 正确
驼背 20.4 8.3 否 错误
正常 16.4 13.2 否 正确
4 正常 16.3 9.1 否 正确
驼背 27.5 -17.3 是 正确
正常 14.7 13.7 否 正确
5 正常 20.6 11.3 否 正确
驼背 31.2 -15.4 是 正确
正常 16.8 11.2 否 正确
6 正常 18.7 8.2 否 正确
驼背 26.5 -17.9 是 正确
正常 14.9 9.6 否 正确
7 正常 20.6 10.6 否 正确
驼背 22.3 -11.9 是 正确
正常 20.1 11.1 否 正确
8 正常 17.4 14.4 否 正确
驼背 23.7 -17.7 是 正确
正常 28.8 16.3 否 正确
9 正常 29.1 19.4 否 正确
驼背 34.5 -16.4 是 正确
正常 14.9 13.2 否 正确
10 正常 20.6 14.6 否 正确
驼背 28.8 -16.3 是 正确
正常 21.7 7.4 是 错误

Tab.5

Comprehensive evaluation table"

试穿者
编号		 舒适度 合体性 透气性 噪声感 技术接受度 实用性
1 5 4 5 4 5 4
2 5 5 4 5 4 5
3 4 5 5 4 5 5
4 4 4 5 5 5 4
5 4 5 5 4 4 5
6 4 5 4 4 5 5
7 4 4 4 5 5 5
8 5 5 4 4 4 5
9 4 4 5 4 5 4
10 4 5 5 5 5 5
平均分 4.3 4.6 4.8 4.4 4.7 4.7
[1] 黄昀, 矫玮, 朱晓东, 等. 久坐腰痛人群核心肌力状态特征及康复研究[J]. 西安体育学院学报, 2020, 37(2):218-224.
HUANG Yun, JIAO Wei, ZHU Xiaodong, et al. Study on the state characteristics and rehabilitation of core muscle strength in sedentary of low back pain[J]. Journal of Xi'an Institute of Physical Education, 2020, 37(2):218-224.
[2] 高同辉, 卫朝霞. 康复锻炼用姿态监测智能T恤的研究[J]. 丝绸, 2015, 52(12):31-36.
GAO Tonghui, WEI Zhaoxia. Study on posture monitoring smart t-shirt for rehabilitation exercises[J]. Journal of Silk, 2015, 52(12):31-36.
[3] NELSON M E, REJESKI W J, BLAIR S N, et al. Physical activity and public health in older adults:recommendation from the american college of sports medicine and the american heart association[J]. Circulation, 2007, 116(9):1094-105.
[4] 李辉. 交通银行员工身体姿态评估与干预研究[D]. 北京: 北京体育大学,2015:20-22.
LI Hui. Bank staff error posture assessment and intervention[D]. Beijing: Beijing Sports University,2015:20-22.
[5] 侯煜杰, 刘欢欢, 王朝晖. 智能坐姿矫正服装研究现状与发展趋势[J]. 纺织学报, 2024, 45(8):250-258.
HOU Yujie, LIU Huanhuan, WANG Zhaohui. Research status and development trend of smart sitting posture correction garment[J]. Journal of Textile Research, 2024, 45(8):250-258.
[6] 陈黄飞, 张舒灵, 张涵, 等. 基于AMS AS7000动态心率智能穿戴项链的设计[J]. 信息技术与信息化, 2019(5):45-47.
CHEN Huangfei, ZHANG Shuling, ZHANG Han, et al. A design of intelligent wearing necklace based on AMS AS7000 dynamic heart rate official flagship shop[J]. Information Technology and Informatization, 2019(5):45-47.
[7] MITROFF S. Lumo lift review: a posture tracker that puts design over details[EB/OL]. [2024-07-18]. https://www.cnet.com/reviews/lumo-lift-review/.
[8] 中国江西网. 法国新型智能身姿矫正衣Percko上线美国Kickstarter当天筹款目标翻倍. [EB/OL]. [2024-7-14]. http://news.163.com/16/1114/18/C5RRL95K00014AEE.html.
JXCN. Percko, France's new smart posture correction clothing, doubles fundraising goal on the same day it goes online on U.S. kickstarter. [EB/OL]. [2024-7-14]. http://news.163.com/16/1114/18/C5RRL95K00014AEE.html.
[9] PATINO G A, KHOSHNAM M, MENON C. Wearable device to monitor back movements using an inductive textile sensor[J]. Sensors, 2020, 20(3):905-905.
[10] JIN S, KIM M, PARK J, et al. A comparison of biomechanical workload between smartphone and smartwatch while sitting and standing[J]. Applied Ergonomics, 2019. DOI:10.1016/j.apergo.2018.11.009.
[11] GUAN X, FAN G, CHEN Z, et al. Gender difference in mobile phone use and the impact of digital device exposure on neck posture.[J]. Ergonomics, 2016, 59(11):1453-1461.
pmid: 27046745
[12] 陈玲, 江红霞, 刘基宏. 基于可穿戴传感器的躯干参考点选取分析[J]. 丝绸, 2022, 59(4):52-58.
CHEN Ling, JIANG Hongxia, LIU Jihong. Analysis of trunk reference point selection based on wearable sensor[J]. Journal of Silk, 2022, 59(4): 52-58.
[13] Canadian Centre for Occupational Health and Safety Government of Canada. CCOHS: Working in a Sitting Position - Good Body Position[EB/OL].[2024-12-3]. https://www.ccohs.ca/oshanswers/ergonomics/sitting/sitting_position.html. .
[14] MCATAMNEY L, NIGEL CORLETT E. RULA: a survey method for the investigation of work-related upper limb disorders[J]. Applied Ergonomics, 1993, 24(2):91-99.
doi: 10.1016/0003-6870(93)90080-s pmid: 15676903
[15] 王晓霞, 戴建国, 王春霞, 等. 青年女性体表角度分析[J]. 纺织学报, 2013, 34 (7): 106-110.
WANG Xiaoxia, DAI Jianguo, WANG Chunxia, et al. Analyzing body shape of young women by use of body surface angles[J]. Journal of Textile Research, 2013, 34 (7): 106-110.
[16] 罗斯祺. 基于青年女性特殊体表形态的上衣结构优化与设计应用[D]. 武汉: 武汉纺织大学,2022:12-17.
LUO Siqi. Structural optimization and design application of jacket based on young women's special body shape[D]. Wuhan: Wuhan Textile University,2022:12-17.
[17] 严芳英, 何梦秋, 柯莹. 久坐人群坐姿调整背心的研制与性能评价[J]. 丝绸, 2023, 60 (6): 33-39.
YAN Fangying, HE Mengqiu, KE Ying. Development and performance evaluation of a sitting posture adjustment vest for the sedentary people[J]. Journal of Silk, 2023, 60(6): 33-39.
[18] 程曦, 徐伟. 基于人机工程学的美术教室桌椅设计分析[J]. 家具, 2025, 46(1):93-98.
CHENG Xi, XU Wei. Ergonomic analysis of art classroom desks and chairs design[J]. Furniture, 2025, 46(1):93-98.
[19] 盛俊龙. 北京市儿童青少年身体姿态现状及测试方法的研究[D]. 北京: 北京体育大学,2019:13-18.
SHENG Junlong. Study on the status quo and test methods of children and adolescents' body posture in Beijing[D]. Beijing: Beijing Sport University,2019:13-18.
[20] 刘岩. 小学生脊柱形态异常矫正运动处方的研制与效果评价[D]. 北京: 北京体育大学,2018:16-22.
LIU Yan. Development and evaluation of exercise prescriptions for correcting spinal morphology of pupils[D]. Beijing: Beijing Sport University,2018:16-22.
[21] SHIN H, KIM K. Effects of cervical flexion on the flexion-relaxation ratio during smartphoneUse[J]. Journal of Physical Therapy Science, 2014, 26(12):1899-1901.
[1] HOU Yujie, LIU Huanhuan, WANG Zhaohui. Research status and development trend of smart sitting posture correction garment [J]. Journal of Textile Research, 2024, 45(08): 250-258.
[2] LIN Wenjun, MIAO Xuhong. Application research progress of optical fiber in luminescent fabrics [J]. Journal of Textile Research, 2021, 42(07): 169-174.
[3] LI Cheng'an, LU Hong. Research and development of smart garments for waist muscle injury protection [J]. Journal of Textile Research, 2020, 41(02): 119-124.
[4] . Review of smart garment materials and wearability thereof [J]. Journal of Textile Research, 2015, 36(12): 158-164.
[5] . Modularized design method of garment style [J]. JOURNAL OF TEXTILE RESEARCH, 2015, 36(08): 104-109.
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