• Journal of the Ergonomics Society of Korea
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• v.24 no.4
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• pp.1-5
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• 2005

A glove design which reflects the changes in hand surface by hand motion can reduce the undesirable effects of use of gloves on hand performance. The present study examined changes in hand length dimensions due to hand motion and identified significant factors affecting the length changes. Recruiting 120 males and females in their 20s and 30s having various hand lengths, this study measured 10 hand length dimensions, defined at 2 hand areas(phalangeal and metacarpal areas) for 5 digits, when the hand is stretched and in fist, and then calculated the percentage of length increase for each dimension. ANOVA and simple-effect analyses showed the length change percentages were mainly different depending on digit and hand area: 111-127% at the phalangeal area and 112-116% at the metacarpal area. The length change percentages of the index, middle, ring, and little fingers in the phalangeal area ascended in order and showed a high correlation(r = 0.94)with the ranges of motion of the fingers.

• The Journal of Korean Medicine
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• v.18 no.2
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• pp.199-213
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• 1997

A comparative study of influence by area between acupuncture points on hand of original acupuncture system with those of hand acupuncture system was resulted as followes 1. The influence of acupuncture points on original acupuncture system was different from those on hand acupuncture system by meridian system even though on same area or point but was similar by meridian coordination even though on different area or point. 2. The influence of acupuncture points on hand acupuncture system was almost added by those of coordinated original acupuncture system point on those of hand acupuncture system point. 3. The influence of non coordinated hand acupuncture points with several original acupuncture points was according to those of up or down point on same meridian. 4. Tung;s acupuncture system had no corelationship with other two acupuncture systems, where it has no holistic system on original princeple and Extra-points had also no corelationship, where it has no meridian system.

• Biomedical Science Letters
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• v.26 no.3
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• pp.186-191
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• 2020

This study was designed to investigate the median nerve cross-sectional area of the upper extremity which is the main cause of CTS in the 20s and 30s. The median nerve cross-sectional area (MNC-area) of each part of the upper limb was measured in healthy 20s and 30s females and males without neurological diseases or other diseases. This MNC-area was compared with the hand, wrist, finger, and other body indexes. The research group was divided into 20s female and male groups, and the 30s were also divided into female and male groups. In the comparison between the ages, the hand, and wrist configurations in the 30s were significantly higher than those of the 20s. The mean median nerve cross-sectional area was significantly larger in the male group than in the female group in both 20s and 30s, and it was larger in both men and women than in the 20s. Hand and wrist configurations were also positively correlated with the median nerve cross-sectional area in both 20s and 30s. The median values of hand ratio and wrist ratio were 2.26 and 0.65, respectively. This median value of hand ratio was inversely correlated with the median nerve cross-sectional area. The median nerve cross-area of the 20s was 6.88~7.38 ㎟ in the male group and 5.69~6.99 ㎟ in the female group, respectively. The median nerve cross-area of the 30s was 6.32~8.89 ㎟ in the male group and 6.15~7.17 ㎟ in the female group, respectively. The mean median nerve cross-sectional area was positively correlated with body mass index in both groups. Most of the variables were higher in their 30s than in their 20s.

• Journal of Korea Multimedia Society
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• v.18 no.10
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• pp.1149-1156
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• 2015

This paper proposes the hand contour detector which is robust to noises. Existing methods reduce noises by applying morphology to extracted edges, detect finger tips by using the center of hands, or exploit the intersection of curves from hand area candidates based on J-value segmentation(JSEG). However, these approaches are so vulnerable to noises that are prone to detect non-hand parts. We propose the noise tolerant hand contour detection method in which non-skin area noises are removed by applying skin area detection, contour detection, and a threshold value. By using the implemented system, we observed that the system was successfully able to detect hand contours.

• The Journal of the Korea Contents Association
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• v.18 no.4
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• pp.398-405
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• 2018

In the HCI, hand gesture recognition is attracting attention as a method for interaction and information exchange between users and devices along with the development of IT devices. In hand gesture recognition through image processing, palm region detection is a key process contributing to improvement of processing speed and recognition rate. In this paper, we propose a new method for image segmentation between the hand and wrist for palm area detection. The anatomical characteristics of the hand are used to calculate the distance between the iliac bones of the thumb and little finger, which have the widest width, by the horizontal projection histogram of the hand image, and then the palm area is detected by drawing a circle having the width as the diameter. In order to verify the superiority of this method, multiple stage template matching is used to compare and evaluate recognition performance against the four conventional methods for 10 hand gestures. Note that the literatures to offer palm area detection performance evaluation are few although there are many studies on hand gesture recognition.

• Smart Structures and Systems
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• v.13 no.6
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• pp.959-974
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• 2014

Hand-Arm Vibration Syndrome (HAVS) is a group of diseases caused by exposure of the hands to vibration while operating the hand held power tools such as road breaker, drilling machine, demolition hammer in construction works. In this paper, area-changed capacitive micro-accelerometer is designed to measure the vibration exposure on worker's hand when operating a drilling machine on various blocks such as clay block, paver block and solid cement block. The design process includes mathematical modelling of micro-accelerometer and simulations are done using INTELLISUITE 8.6. Experimental results are taken for various blocks surfaces using conventional and micro-accelerometer. Comparisons show that usage of area-changed micro-accelerometer for Hand-arm vibration monitoring provides better sensitivity, which in turn reduces the risk of HAVS in workers.

• Journal of the Korean Academy of Clinical Electrophysiology
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• v.10 no.2
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• pp.37-42
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• 2012

Purpose : This study is to examine the effect of electrode size during transcranial direct current stimulation on hand function. Methods : By randomly assigning 26 right hand dominant subjects to two groups (I: carbon rubber electrode / II: disposable circular self-adhesive electrodes) with 13 subjects in each group depending on the electrode size, a positive electrodeof transcranial direct current stimulation was placed on the primary motor area (C4) and a negative electrode was placed on the left primary motor area (C3) and the stimulation was applied for 20 minutes.Hand function assessment before and after transcranial direct current stimulation were measured with JTT (Jebsen-Taylor hand function test). Results : According to hand function assessment by JTT, there were no interactions on both hands, and statistically significant differences according to time appeared in the main effect test. Conclusion : Regardless of the electrode size, it appears that transcranial direct current stimulation on the primary motor area activated hand function affected.

• Journal of Korea Multimedia Society
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• v.17 no.5
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• pp.547-555
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• 2014

This paper presents a method for hand segmentation using depth information, and adaptive threshold by means of histogram analysis and color clustering in HSV color model. We consider hand area as a nearer object to the camera than background on depth information. And the threshold of hand color is adaptively determined by clustering using the matching of color values on the input image with one of the regions of hue histogram. Experimental results demonstrate 95% accuracy rate. Thus, we confirmed that the proposed method is effective for hand segmentation in variations of hand color, scale, rotation, pose, different lightning conditions and any colored background.

• The Journal of Korean Medicine
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• v.36 no.4
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• pp.69-73
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• 2015

Objectives: This study was carried out to analyse the skin of the Hand lesser yang in human. Methods: The Hand lesser yang meridian was labeled with latex in the body surface of the cadaver, subsequently dissecting a body among superficial fascia and muscular layer in order to observe internal structures. Results: This study has come to the conclusion that a depth of the skin has encompassed a common integument and a immediately below superficial fascia, and this study established the skin boundary with adjacent structures such as relative muscle, tendon as compass. The skin area of the Hand lesser yang in human is as follows: The skin close to the ulnar root angle of 4th finger nail, above between 4th and 5th metacarpal bone, between extensor digit. minimi tendon(t.) and extensor digit. t., extensor digit. m(muscle). at 2, 4, 7 cun above dorsal carpal striation, triceps brachii m. t., deltoid m., trapezius m., just around the ear, upper orbicularis oculi m. Conclusions: The skin area of the Hand lesser yang from anatomical viewpoint seems to be the skin area outside the superficial fascia or the muscle involved in the pathway of the Hand lesser yang meridian, the collateral meridian, the meridian muscle, with the condition that we consider adjacent skins.

• The Journal of Korean Medicine
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• v.39 no.4
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• pp.121-125
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• 2018

Objectives: This study was carried out to analyse Hand Greater Yang Skin in human. Methods: Hand Greater Yang meridian was labeled with latex in the body surface of the cadaver. And subsequently body among superficial fascia and muscular layer were dissected in order to observe internal structures. Results : A depth of Skin encompasses a common integument and a immediately below superficial fascia, this study established Skin boundary with adjacent structures such as relative muscle, tendon as compass. The Skin area of the Hand Greater Yang in human are as follows: The skin close to 0.1chon ulnad of $5^{th}$ nail angle, ulnad base of $5^{th}$ phalanx, ulnad head of $5^{th}$ metacapus(relevant muscle: abductor digiti minimi muscle), ulnad of hamate, tip of ulnar styloid process(extensor carpi ulnaris tendon), radiad of ulnar styloid process, 2cm below midpoint between Sohae and Yanggok(extensor carpi ulnaris), between medial epicondyle of humerus and olecranon of ulnar(ulnar nerve), The skin close to deltoid muscle, trapezius muscle, platysma muscle, inner muscles such as teres major muscle, infraspinatus muscle, supraspinatus muscle, levator scapulae muscle, splenius cervicis muscle, splenius capitis muscle, sternocleidomastoid muscle, digastric muscle, stylohyoid muscle, zygomaticus major muscle, auricularis anterior muscle. Conclusions: The Skin area of the Hand Greater Yang from the anatomical viewpoint seems to be the skin area outside the superficial fascia or muscles involved in the pathway of Hand Greater Yang meridian, collateral meridian, meridian muscle, with the condition that we consider adjacent skins.