clothing pressure
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2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Tamaki Mitsuno ◽  
Ayaka Kai Yanagisawa

PurposeThe present study obtained the topography of perceptible (a perfect-fit feeling) clothing pressures from the chest to groin, when a stretching material provided hoop tension to the body surface of participants. Furthermore, the allowable pressure level was examined for the abdomen, which is pressed by underclothes on a daily basis.Design/methodology/approachParticipants were nine women aged 21.3 ± 1.2 years. Each participant's perception of pressure while wearing the experimental band was obtained in a questionnaire using a visual analog scale. Clothing pressure was measured employing a hydrostatic pressure-balancing method as participants adjusted the band length themselves to achieve two conditions: a perfect-fit and tight-fit on the abdomen.FindingsThe range of comfortable clothing pressure tightening provided by a 2.5 cm-wide elastic band on the abdomen was 0–5.6 hPa for under the bust, waist and groin, and 4.4–9.3 hPa for the chest, lower waist and hips. A nerve plexus of the autonomic nervous system and arteries are distributed over the body surface of the former body parts, which were thus sensitive to tightening around the abdomen.Originality/valueThe topography of perceptible clothing pressure was obtained when stretching material provided hoop tension to the body surface of the participant. The results of a participant questionnaire agreed with clothing pressure obtained using a hydrostatic pressure-balancing method that has a short-time constant and sensitive resolution. Furthermore, allowable pressure levels were proposed.


2022 ◽  
pp. 152808372110569
Author(s):  
Woo-Kyun Jung ◽  
Soo-Min Lee ◽  
Sung-Hoon Ahn ◽  
Juyeon Park

Osteoarthritis is a chronic disease that affects joint cartilage and can cause severe pain and disability. Minor neglected injuries may also result in other diseases that affect daily life. Various attempts have been made to develop wearable auxiliary devices using functional fabrics, but few have simultaneously provided both heat and pressure. Using knitted shape memory alloy (SMA) fabric, a module was manufactured that achieved bending and contraction during operation. An elbow brace that simultaneously provided heat and pressure was developed using this module. Subjective evaluation and measurements of the range of motion (ROM), changes in skin temperature ( T sk ), clothing pressure ( P c), and blood flow ( F b) were conducted on the elbow brace while being worn by 10 participants. The multifunctional elbow brace (MFEB) developed in this study generated pressure and heat that increased T sk and P c, ultimately increasing F b. In addition, the ROM of the elbow joint was increased after actuating the elbow brace. Subjective evaluation of the heat and pressure sensation demonstrated its applicability to the human body. We confirmed that the elbow brace had a positive effect on F b and increased the ROM of the joint. These results show the applicability of smart textiles to the development of various wearable devices.


Author(s):  
Xiaoli Liu ◽  
Zhibin Li

AbstractThe fatigue of running sportswear is reflected in the fatigue caused by the tightness of the tights on the skin surface of the limbs, trunk, and other parts during long-term running sports. However, the current research on the fatigue of running sportswear is not deep enough. Therefore, the purpose of this study is to study the mechanism of the fatigue of running sportswear based on BP neural network. This article first takes sportswear as the starting point and uses the surface myoelectricity index as a physiological quantity as a means to combine clothing with sports medicine and sports physiology, breaking the traditional shackles of subjective assessment of fatigue, and giving play to the advantages of interdisciplinary to expand the new direction of the apparel industry and, secondly, use muscle fatigue evaluation method to analyze the muscles of the lower leg under the pressure of sportswear to analyze the strength of the EMG signal and the number of participating sports units and the frequency of discharge synchronization. Experimental data shows that the AUC is 0.756 when wearing sports tights, the sensitivity and specificity are 72% and 19%, and the accuracy is 65%. The experimental results show that clothing pressure affects the fatigue of running sportswear based on BP neural network.


Author(s):  
Kuengmi Choi ◽  
Jungil Jun ◽  
Youngshil Ryoo ◽  
Sunmi Park

A bra use can reduce physiological and physical functions because of clothing pressure, which can be a problem for new senior women starting to lose physical function. The present study presents a bra top design development method for promoting new senior women’s physical activity by identifying problems related to bras’ effects on women’s health and minimizing clothing pressure. The analysis utilized the 3D scan data of 42 adult women (age range: 50s) from the 5th Size Korea Project. Bra top design elements were extracted based on new senior consumers’ needs. We developed an average wireframe reflecting the new senior’s physical characteristics, and a standard body form was developed through surface modeling. To produce a consumer-oriented bra with a body shaping effect and reduced clothing pressure that would not affect physical activities, a three-dimensional pattern was developed applying an optimal reduction rate of 80%. To verify the bra’s adequacy for the body form of new senior women, two market-available bras were selected and fit-compared to the developed product. The developed bra received higher expert appearance evaluation and 3D virtual clothing evaluation scores. This study is significant because by using virtual fitting technology, it provides foundational data to quantify the quality of fashion products.


2021 ◽  
Vol 77 (11) ◽  
pp. 274-288
Author(s):  
Hiroyuki Kanai ◽  
Kentaro Ogawa ◽  
Tetsu Sasagawa ◽  
Kiyohiro Shibata ◽  
Kei Kawauchi

2020 ◽  
pp. 1-11
Author(s):  
Weiran Chen ◽  
Xiuhong Li ◽  
Xiaoran Chen ◽  
Yan Xiong

Dress fatigue can affect the efficiency of sports, especially for running, the dress fatigue has a greater impact on it. Moreover, at present, there are few studies on dress fatigue. Based on this, this study is based on BP neural network, and uses surface electromyography theory and muscle fatigue measurement method to perform fatigue measurement. The fatigue threshold analysis is mainly carried out by the experimental method, and the prediction model of the wearing fatigue threshold based on BP neural network is constructed based on the actual demand. Moreover, this paper verifies the reliability of threshold distribution by experimental analysis combined with model analysis. In addition, the study sets the organizational structure and clothing pressure as verification indicators to analyze the performance of the model. The research results show that the model constructed in this study can effectively analyze the mechanism of fatigue impact of running dress, and this paper can provide reference for the study of dress fatigue.


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