• Journal of the Ergonomics Society of Korea
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• v.24 no.4
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• pp.15-21
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• 2005

Use of a glove made of materials with a low elasticity decreases the performance of the hand such as agility, dexterity, range of motion, and grip strength. The present study examined if the adverse effects of a low-elastic glove can be reduced by a design which accommodates the changes of hand surface lengths by hand motion. Two glove designs which provide patches of elastic cloth and pleats at the finger joints and knuckle were developed by considering the hand surface length changes, and then compared with two conditions(bare hand and conventional glove design that does not consider the dynamic characteristics of the hand dimensions) in terms of completion time in peg board insertion task, maximum grip strength, discomfort in hand motion, discomfort in force exertion, and overall discomfort by 24 right-handed participants. The test results confirmed that wearing of a glove significantly reduced the agility and grip strength capability of the hand and indicated that the novel designs were effective to lessen the performance decreases compared to the conventional design. Also, of the glove designs, the pleat glove design was found most preferred for both better hand performance and less subjective discomfort.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.15 no.3
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• pp.186-191
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• 2015

Hand gesture is the most common tool used to interact with and control various electronic devices. In this paper, we propose a novel hand gesture recognition method using fuzzy logic based classification with a new type of sensor array. In some cases, feature patterns of hand gesture signals cannot be uniquely distinguished and recognized when people perform the same gesture in different ways. Moreover, differences in the hand shape and skeletal articulation of the arm influence to the process. Manifold features were extracted, and efficient features, which make gestures distinguishable, were selected. However, there exist similar feature patterns across different hand gestures, and fuzzy logic is applied to classify them. Fuzzy rules are defined based on the many feature patterns of the input signal. An adaptive neural fuzzy inference system was used to generate fuzzy rules automatically for classifying hand gestures using low number of feature patterns as input. In addition, emotion expression was conducted after the hand gesture recognition for resultant human-robot interaction. Our proposed method was tested with many hand gesture datasets and validated with different evaluation metrics. Experimental results show that our method detects more hand gestures as compared to the other existing methods with robust hand gesture recognition and corresponding emotion expressions, in real time.

• Archives of Plastic Surgery
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• v.36 no.4
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• pp.497-499
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• 2009

Purpose: Leiomyoma is a rare benign tumor of nonstriated muscles. Leiomyoma is most commonly found in the uterus and rarely occur in the hand. 150 cases of leiomyoma of the hand have been reported in the English literature; however, to the best of our knowledge only four of these have been in children and none were reported in Korean literature. We present a case of leiomyoma in the hand of a 8 - year - old boy, which is a rare site for localization and unusual for age. Methods: A 8 - year - old boy presented with a painless mass on the ulnar side of his thumb. Physical examination revealed a $1.2{\times}1.2cm$ round, rubbery mass that was nontender to palpation. The vascular, sensory, and motor exams were otherwise unremarkable. Further evaluation with CT demonstrated an enhancing mass at dorsoulnar aspect of 1st proximal phalangeal region suggestive of a hemangioma versus other enhancing solid mass. The diagnosis of a leiomyoma was confirmed following surgical excision with histologic evaluation. Results: At 3 months follow - up, the incision was healed, motor and sensory function were intact, and there were full range of motion. Neither recurrence nor postoperative complication were observed. Conclusion: Leiomyoma is a rare tumor of the hand, especially in children. Diagnosing hand tumors in children is more difficult than in adults, hand surgeons should be aware of the diagnostic possibilities based on examination and imaging of a hand tumor ; however, surgical excision with histologic examination is required for definitive diagnosis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.585-588
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• 2008

This paper proposes hand gesture recognition using shape similarity method. For this, we require two steps which are aquisition of Hand area and similarity evaluation. First step is extracting hand area using YCbCr color spare. Then eliminate noise through filter and analyzing histogram. For doing this, we ran measure similarity of hand gesture by applying TSR after getting contour. Finally, we utilize shape similarity for recognizing of hand gesture.

• Korean Journal of Human Ecology
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• v.12 no.1
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• pp.63-73
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• 2003

The purpose of this study was to quantify the hands of fabrics for the Korean folk clothes using both a KES-FB and an artificial neural network. In order to select the proper input parameters, we calculated the correlation using step-wise regression between mechanical properties and the hand value of fabrics. For the classification, the primary hand values and total hand value, five neural networks with three-layered structure were constructed using the error back propagation algorithm and, in order to reduce errors and to speed up learning, the momentum method was selected. From the analysis of the primary and total hands using a self-constructed artificial intelligence system, the error rates of sleekness, stiffness, silkiness, and roughness compared with the judgement of expert panels were found to be 3.3%, 3.3%, 1.6%, and 4.9%, respectively, while that of the total hand was 9.83%.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.2 no.3
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• pp.90-95
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• 2003

The W-EDM is very important In precision machining of die, punch and small parts of precision products, so this machining method is widely used in various fields of industry. In this study, machining characteristics of Hand Drum Form and surface roughness are investigated experimentally. As Hand drum form has great effect on straightness of cut-surface of workpiece, its evaluation is very important in precision cutting. As experimental material, the mold material, STD11 is used and machined by CNC wire-EDM using the 025mm wire in diameter with repeated cutting up to 6 times. The thickness of workpiece is vaned in 20, 40, 60, 80, 100mm Hand drum form and surface roughness are measured after each cutting. Experimental results show that four times-cutting is optimum in the point of hand drum form and surface roughness.

• Journal of Sensor Science and Technology
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• v.21 no.1
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• pp.28-33
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• 2012

The visual sensing of human hands plays an important part in many man-machine interaction/interface systems. Most existing visionbased hand detection techniques depend on the color cues of human skin. The RGB color image from a vision sensor is often transformed to another color space as a preprocessing of hand detection because the color space transformation is assumed to increase the detection accuracy. However, the actual effect of color space transformation has not been well investigated in literature. This paper discusses a comparative evaluation of the pixel classification performance of hand skin detection in four widely used color spaces; RGB, YIQ, HSV, and normalized rgb. The experimental results indicate that using the normalized red-green color values is the most reliable under different backgrounds, lighting conditions, individuals, and hand postures. The nonlinear classification of pixel colors by the use of a multilayer neural network is also proposed to improve the detection accuracy.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2001.11b
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• pp.691-694
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• 2001

The recent national contract (Ecotechnopia 21) supported by the ministry of environment puts much significance on new issues for the assessment of human effects arising from vibration and noise exposed to human. This paper focuses only on hand-arm vibration since it has been a major problem in protecting vibration exposure to human. To set up a systematic way of assessing adverse effects of hand-arm vibration, surveys were made on recent international standards and researches related to hand-arm vibration. The measurement and evaluation methods of hand-arm transmitted vibration, the relationship between vibration exposure and effects on health, and the assessment methods of nerve dysfunctions are addressed in this paper. Those methods are linked into a logical way of assessing effects of hand-arm vibration on human. Finally, the current activities and achievements in this work are briefly summarised.

• Fashion & Textile Research Journal
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• v.17 no.5
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• pp.854-861
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• 2015

This study evaluates the objective and subjective hand as well as the preference for hand and outdoor jackets on laminated waterproof breathable fabrics with different constituent characteristics to identify those best suited for consumer needs. Mechanical properties and objective hands were measured by the KES-FB system. The subjective hand and the preference of laminated waterproof breathable fabric for outdoor jackets were rated by the 20's and 30's women experts with tactile and visual senses that utilized a questionnaire with a seven-point semantic differential scale; subsequently, the flexibility and compressive elasticity of laminated waterproof breathable fabrics were low. However, light and thin waterproof breathable fabrics with a smooth surface had high scores in smoothness, fullness & softness and total hand value. In addition, laminated waterproof breathable fabrics were classified into three hand factors: flexibility, density, and surface properties. There were significant differences on flexibility and surface property perceptions, hand and out-door jackets preferences according to the characteristics of waterproof breathable fabrics. The hand preference of the laminated waterproof breathable fabric improved with decreasing 2HB and increasing EM. However, EM showed positive effect for outdoor jacket preferences. Those that were flexible and smooth were preferred for outdoor jackets.

• IE interfaces
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• v.24 no.2
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• pp.105-111
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• 2011

Measurement protocols for hand anthropometry have been studied for ergonomic product design. The present study developed a 3D semi-automatic measurement protocol (3D-SAMP) which semi-automatically measures various hand dimensions using a 3D scanner. The 3D-SAMP was compared with the conventional direct measurement method (DMM) to examine its effectiveness. The 3D-SAMP consists of (1) fabricating a plaster cast of the hand, (2) placing landmarks on the plaster hand, (3) scanning the plaster hand with a 3D scanner, (4) identifying automatically the positions of the landmarks on the digital hand, and (5) extracting automatically hand anthropometric measurements (lengths, widths, thicknesses, and circumferences). An evaluation experiment conducted in the study found the 3D-SAMP preferred to the DMM in terms of reliability (the number of dimensions exceeding the variability criteria SD=2 mm and CV=5% : 3D-SAMP =2 and DMM=24) and ease of measurement (3D-SAMP=5.2 and DMM=4.3 out of 7). The 3D-SAMP can be applied to ergonomic design of a hand-held product.