• The Journal of Korea Robotics Society
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• v.6 no.3
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• pp.220-229
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• 2011

This paper focuses on a development of an anthropomorphic robot hand. Human hand is able to dexterously grasp and manipulate various objects with not accurate and sufficient, but inaccurate and scarce information of target objects. In order to realize the ability of human hand, we develop a robot hand and introduce a control scheme for stable grasping by using only kinematic information. The developed anthropomorphic robot hand, KITECH Hand, has one thumb and three fingers. Each of them has 4 DOF and a soft hemispherical finger tip for flexible opposition and rolling on object surfaces. In addition to a thumb and finger, it has a palm module composed the non-slip pad to prevent slip phenomena between the object and palm. The introduced control scheme is a quitely simple based on the principle of virtual work, which consists of transposed Jacobian, joint angular position, and velocity obtained by joint angle measurements. During interaction between the robot hand and an object, the developed robot hand shows compliant grasping motions by the back-drivable characteristics of equipped actuator modules. To validate the feasibility of the developed robot hand and introduced control scheme, collective experiments are carried out with the developed robot hand, KITECH Hand.

• Culinary science and hospitality research
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• v.12 no.4 s.31
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• pp.269-283
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• 2006

To show the recognition of hand-sanitizer, we studied the answers of research questions where we got from the northern part of Seoul and Kyunggi Province. We had categorized two groups both industry-related people who work in restaurants, hygiene service shops, whole sales, government organizations, PC shops, factory-department stores and non industry-related people who work in schools, general offices for this study. 1. Hand sanitation level: Over 60% people washed hands 6 times a day. The group using water and soap was much bigger than the group using water for washing hands. For drying, people preferred wipe tissue, towels, clothes, non drying in that order. 2. Recognition of hand sanitizer and its usage experience: Most people(66.5%) did not know what hand sanitizer is, but they have positive attitude if they use this machine. 3. Place of hand sanitizer: The proper places to install were such public places as hospitals, restrooms, and restaurants. The fifties-group was the most frequently hand washing generation with over 9 times a day. 4. Comparison of recognition for hand-sanitizer by male and female: There were different results in each evaluation item by either male or female. The frequency and method of hand washing showed high in males, while females observed hand sanitization, installation requirements, installation areas, home installation, etc more than anything else.

• The Korean Journal of Rehabilitation Nursing
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• v.15 no.1
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• pp.47-53
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• 2012

Purpose: To identify the feasibility and provide the direction for future studies regarding hand massage, studies on hand massage published in Korea were analyzed. Methods: Using the key word of hand massage, 23 studies which identified the effects on sleep, pain, anxiety and depression were found. They were analyzed on research tendency and effects. Research tendency was analyzed in terms of published year, methods, study design, sample characteristics, and outcome variables. Effects were analyzed with hypothesis testing and effect size. Results: Among 23 studies, 60%(14 studies) were about hand massage and others (9 studies) were about aroma hand massage. The most prominent outcome variables were physiological and cognitive/emotional ones. To improve sleep, hand massage over 60 minutes was necessary while pain and anxiety were improved in the studies which less than 10 minutes hand massage was applied. Aroma hand massage was more effective than hand massage. Effect size for anxiety and depression was larger than those of sleep and pain. Conclusion: Hand massage and aroma hand massage are recommended to improve anxiety and depression as an independent nursing intervention. More randomized clinical trials are necessary to increase the validity and identify the effects of hand massage on sleep, pain, anxiety and depression.

• Journal of Information Processing Systems
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• v.8 no.3
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• pp.399-408
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• 2012

Hand gesture recognition is an important area of research in the field of Human Computer Interaction (HCI). The geometric attributes of the hand play an important role in hand shape reconstruction and gesture recognition. That said, fingertips are one of the important attributes for the detection of hand gestures and can provide valuable information from hand images. Many methods are available in scientific literature for fingertips detection with an open hand but very poor results are available for fingertips detection when the hand is closed. This paper presents a new method for the detection of fingertips in a closed hand using the corner detection method and an advanced edge detection algorithm. It is important to note that the skin color segmentation methodology did not work for fingertips detection in a closed hand. Thus the proposed method applied Gabor filter techniques for the detection of edges and then applied the corner detection algorithm for the detection of fingertips through the edges. To check the accuracy of the method, this method was tested on a vast number of images taken with a webcam. The method resulted in a higher accuracy rate of detections from the images. The method was further implemented on video for testing its validity on real time image capturing. These closed hand fingertips detection would help in controlling an electro-mechanical robotic hand via hand gesture in a natural way.

• The Journal of Korea Robotics Society
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• v.18 no.4
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• pp.367-375
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• 2023

Most partial hand amputees experience limited wrist movement, which hinders the efficient functioning of upper limb, affecting hand-to-use coordination and the usability of the prosthetic hand. This limitation can lead to secondary musculoskeletal issues due to repetitive compensatory movement patterns. However, current partial hand prosthetic lack rotational wrist movement due to challenges in accommodating various hand shapes and limited space. In our study, we proposed a prosthetic hand with a wrist rotation module for partial hand amputees, aiming to reduce compensatory movement. To validate the proposed wrist rotation module, we conducted motion analysis during reach-to-grasp task. Furthermore, during the Jebsen-Taylor hand function test, we evaluated both the effect on upper limb movement and the usability of the prosthetic hand, comparing configurations with and without the wrist rotation module. The results showed that the prosthetic hand equipped with rotational wrist movements reduces compensatory movements and promotes efficient upper limb movement patterns. This finding highlights the value of incorporating a wrist rotation module in prosthetic hands to improve upper limb movement for partial hand amputees.

• Journal of Korea Multimedia Society
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• v.20 no.8
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• pp.1187-1199
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• 2017

In recent years, research about Natural User Interface (NUI) has become focused because NUI system can give natural feelings for users in virtual reality. Most important thing in NUI system is how to communicate with the computer system. There are many things to interact with users such as speech, hand gestures, body actions. Among them, hand gesture is suitable for the purpose of NUI because people often use a relatively high frequency in daily life and hand gesture have meaning only by itself. This hand gestures called multi-cultural hand gesture and we proposed the method to recognize this kind of hand gestures. Proposed method is composed of Histogram of Oriented Gradients (HOG) used for hand shape recognition and Histogram of Oriented Displacements (HOD) used for hand center point trajectory recognition.

• Journal of Korea Multimedia Society
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• v.14 no.7
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• pp.866-871
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• 2011

In this paper, an improved method of hand detecting and hand gesture recognition is proposed, it can be applied in different illumination condition and complex background. We use Adaptive Skin Threshold (AST) to detect the areas of hand. Then the result of hand detection is used to hand recognition through the improved HMM algorithm. At last, we design a simple program using the result of hand recognition for recognizing "stone, scissors, cloth" these three kinds of hand gesture. Experimental results had proved that the hand and gesture can be detected and recognized with high average recognition rate (92.41%) and better than some other methods such as syntactical analysis, neural based approach by using our approach.

• Journal of Korean Clinical Health Science
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• v.4 no.3
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• pp.622-633
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• 2016

Purpose. The purpose of this study was compared of left dominant and the right dominant hands about coordination. Methods. The participants were 30 occupational therapy students in M university in Changwon, from April 28th 2015 to May 1. The test tools were Jebson-Taylor Hand Function Test, Hand Strength & Pinch, Grooved Pegboard Test, Box & Block and Balance Test. Results. Right dominant hand was higher than left dominant in hand grip and dexterity, hand manipulation skills. And one leg standing and toe standing were higher left foot than right foot dominant. Conclusion. Most of all evaluation items showed a better result right dominant hand than left dominant. But shows that there is no functional difference between left-hand dominant than right-hand. So left-hand dominant coordination was evaluated by a better than right-handed.

• Journal of the Ergonomics Society of Korea
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• v.32 no.4
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• pp.303-308
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• 2013

Objective: The aim of this study is to understand health effect of hand-arm transmitted vibration. Background: Electronic vibration tools have been used in many industries. These tools evoke hand-arm transmitted vibration that cause hand-arm vibration syndrome. Method: Various papers on the hand-arm transmitted vibration and its health effects have been reviewed to know what health effect caused. Results: Hand-arm transmitted vibration causes circulatory, neural, musculoskeletal and other disturbance. Conclusion: The previous studies focused on the epidemiology and physiology for hand-arm transmitted vibration. So, now we should focus on a prevention and guideline of hand-arm transmitted vibration. Application: These results can be used to know health effect of hand-arm transmitted vibration.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.7
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• pp.1564-1572
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• 2011

In this paper, we propose a new histogram based hand recognition algorithm for augmented reality. Hand recognition system makes it possible a useful interaction between an user and computer. However, there is difficulty in vision-based hand gesture recognition with viewing angle dependency due to the complexity of human hand shape. A new hand recognition system proposed in this paper is based on the features from hand geometry. The proposed recognition system consists of two steps. In the first step, hand region is extracted from the image captured by a camera and then hand gestures are recognized in the second step. At first, we extract hand region by deleting background and using skin color information. Then we recognize hand shape by determining hand feature point using histogram of the obtained hand region. Finally, we design a augmented reality system by controlling a 3D object with the recognized hand gesture. Experimental results show that the proposed algorithm gives more than 91% accuracy for the hand recognition with less computational power.