• 로봇학회논문지
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• 제15권3호
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• pp.240-247
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• 2020

This paper presents a novel knitted data glove system for pattern classification of hand posture. Several experiments were conducted to confirm the performance of the knitted data glove. To find better sensor materials, the knitted data glove was fabricated with stainless-steel yarn and silver-plated yarn as representative conductive yarns, respectively. The result showed that the signal of the knitted data glove made of silver-plated yarn was more stable than that of stainless-steel yarn according as the measurement distance becomes longer. Also, the pattern classification was conducted for the performance verification of the data glove knitted using the silver-plated yarn. The average classification reached at 100% except for the pointing finger posture, and the overall classification accuracy of the knitted data glove was 98.3%. With these results, we expect that the knitted data glove is applied to various robot fields including the human-machine interface.

• 복식문화연구
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• 제17권5호
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• pp.866-877
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• 2009

The purpose of this study was to develop the dimension of hand pattern-making for Korean glove. The glove pattern-making has difficult problem in combination of anthropometric and engineering aspects. In addition, existing dimension data are not enough for glove pattern-making. Therefore, to develop the dimension for glove this study comprehensive list of candidate hand data was reviewed and the manufacturers(career over the 15 years) were interviewed on the method of glove. The result of comparing between the structures in hand and existing glove pattern, there draw deduction from follows. Pattern-making for glove need size of hand length, thumb length, index finger length, middle finger length, ring finger length, hand circumference, thumb-ring finger circumference and maximum hand thickness.

• 재활복지공학회논문지
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• 제2권1호
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• pp.45-49
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• 2009

본 논문에서는 상지마비 환자의 재활훈련용 로봇의 인터페이스에 사용할 수 있는 데이터글로브를 제안한다. 데이터글로브는 7개의 유연한 각도 센서를 적용하여 손가락과 손목의 굽힘 각도를 측정할 수 있다. 개발된 데이터글로브의 성능은 3D 그래픽을 이용한 시각화로서 확인하였다. 실험결과로부터 개발한 데이터글로브는 손의 움직임을 측정하고, 인터페이스로 사용할 수 있음을 보인다.

• 복식
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• 제55권2호
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• pp.116-128
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• 2005

The aim of this study is to understand problems with both fit and sizing system of gloves by analyzing the glove production industries with an emphasis on the sizing system, production measurement system, and general marking situation. Also, to suggest the basic raw materials for improving sizing system for gloves, actual glove control sizes were compared to the anthropometric data of the previous study Fifteen domestic production companies were participated in this study-Domestic glove production companies established their own sizing system by copying inter-national brand's glove sizing system or by their experience. The Korean Standard of gloves and the 1997 Korean Standard Anthropometrics Measurement for producing glove patterns are not considered because of its discordance with the reality of the required measurements. Domestic glove production companies used different size designation and labeling system. Size measurement unit also showed difference among the glove production companies. Some companies used 'cm', some used 'mm', some used 'inch' for the measurement unit. In general, companies produced 5 to 4 sizes in one design of glove and the production was the highest in M and L size. In 9 out of 15 companies preferred control size as hand length and hand circumference. For reference size, most of the companies preferred finger circumference, finger length, palm length, hand breadth, crotch height, and hand thickness. Actual glove sizes were compared to the anthropometric data of the previous study. The results indicated that most of the measurements of actual glove sizes were significantly larger than the anthropometric data.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2009년도 학술대회
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• pp.324-329
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• 2009

Proactive computing의 핵심 기술인 손동작 인식 (Hand Motion Recognition, HMR) 기술은 인간과 컴퓨터 사이의 상호작용(Human Computer Interaction, HCI) 분야에서 많은 연구가 진행되고 있다. 본 연구에서는 3축 가속도 센서를 부착한 data glove를 제작하고, 3차원 손 모델을 구현한 후, 이를 이용한 손동작 인식 기술을 개발하였다. Data glove는 가상현실에 대한 입력 장치로써 본 논문에서는 3축 가속도 센서를 사용하여 획득된 신호를 wireless communication으로 PC에 전송할 수 있도록 구현하였다. 손 모델링은 ellipsoid를 이용한 kinematic chain 이론 바탕의 3차원 손 모델을 구현하였으며, data glove에서 얻어진 가속도 정보에 rule 기반의 알고리즘을 적용하여 구현된 3차원 손 모델을 통하여 간단한 손동작(가위, 바위, 보)을 인식하였다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2004년도 춘계 학술대회논문집
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• pp.56-61
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• 2004

As the size and dimension of target problems in the field of computational engineering including CFD gets bigger and higher, it is needed to have more efficient and flexible data visualization environment in terms of software and hardware. Even though it is still manageable to use a mouse in controlling 3-dimensional data visualization, it would be beneficial to use 3-D input device for 3-D visualization. 'Data Glove' is one of the best 3-D input devices, because human hands are best tools understanding 3-D space. Signals coming from 'Data Glove' are analog and very sensitive to finger motions, so we decided to use a digital filter. This paper describes our experience and benefits of using data glove in controlling 3-Dimensional Postprocess Software.

• 대한인간공학회지
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• 제23권3호
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• pp.25-38
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• 2004

Selection of a key dimension (s) by considering the characteristics of hand dimensions is needed to design gloves and construct a sound sizing system for gloves The present study identified key dimensions of glove design by analyzing the relationships between hand dimensions and demonstrated the construction process of a glove sizing system. By conducting correlation and regression analyses on 70 hand dimensions including 3 key dimension candidates (hand length; hand circumference; hand breadth) with the 1988 US Army data, hand length and hand circumference were selected as key dimensions for glove design. Glove sizing systems were constructed for males and females by applying the selected key dimensions, 0.5 inch of sizing intervals, and 2％ of presence rate criterion to the US Army data. This study suggests that glove sizing systems for males and females be very different from each other and a glove sizing system for males include more sizes than that for females.

• 복식문화연구
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• 제17권6호
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• pp.981-991
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• 2009

The purpose of this study was to develop the pattern-making for Korean glove. To develop the pattern-making for glove this study comprehensive list of candidate hand data was reviewed and the manufacturers(career over th 15 years) were interviewed on the method of glove. The results of regression analysis(hand data) were as follows (unit: cm): wrist thumb tip length = middle finger length + 3.22, hand bread = 1.25 $\times$ middle finger length + 2.18, middle finger breadth at dist = 0.23 $\times$ index finger circumference + 0.4, maximum hand circumference = 3.15 $\times$ index finger circumference + 4.13, middle finger circumference = 0.91 $\times$ index finger circumference + 0.47, maximum hand thickness = 0.69 $\times$ index finger circumference -0.02. Hand measurements for glove pattern-making were developed: There were palmar hand length, hand circumference, index finger circumference and middle finger length.

• 대한기계학회논문집A
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• 제35권12호
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• pp.1585-1591
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• 2011

본 연구에서는 사용자의 손에 장착하여 손의 움직임을 측정하고 힘의 반영이 가능한 새로운 형태의 데이터 글로브(data glove)를 제안한다. 본 연구의 데이터 글로브는 인간의 외골격 구조의 분석이 기반하고 있으며 하나의 손가락 모듈은 4절기구의 조합을 통하여 1자유도로 구동이 되도록 고안되어 있다. 데이터 글로브는 펴기(extension)와 구부리기(flexion)를 할 수 있으며 내전(adduction)/외전(abduction)을 위해서 두 개의 유니버설 관절을 이용한 새로운 metacarpal joint 메커니즘을 고안하였다. 동 데이터 글로브의 유효성을 평가하기 위하여 검지손가락을 위한 구동회로와 센서를 포함한 전체 시스템을 제작하였으며 가상공간에 동적 시뮬레이션을 통해서 나타낸 물체를 조작하는 실험을 수행하였다.

• 동서간호학연구지
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• 제28권2호
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• pp.132-141
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• 2022

Purpose: This study aimed to investigate intensive care unit (ICU) nurses' actual and perceived glove uses for preventing healthcare associated infection. Methods: We observed nurses' donning glove by occasions and adherence to guideline for glove uses in four ICU in a single hospital. Total of 378 cases were observed from August 16 through October 6, 2020. Sixty one nurses of 66 nurses observed responded to a self-reported questionnaire about perceived glove use and knowledge of glove use. Data analysis was performed using descriptive statistics. Results: The number of observed episodes for glove use was 277. Although the highest numbers of occasions of wearing gloves was contact precaution, the compliance rate was 72.1%. The rates of donning gloves were low in the insertion and removal of peripheral venous catheters, blood glucose testing and blood sampling, which were at risk for exposure to blood. We observed misuse of wearing gloves even when they were not required. Results showed that the majority of non-compliance with glove use were a failure of performing hand hygiene before and after glove use and a failure of changing gloves between procedures on the same patient. The participant's knowledge of glove use was high. Conclusion: Based on the results, it is necessary to provide ICU nurses with education and reinforcement of proper glove uses for infection control.