• Korean Journal of Adult Nursing
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• v.24 no.2
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• pp.109-118
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• 2012

Purpose: This study was conducted to contribute on nursing practice for elderly people by identifying the effects of hand moxibustion and hand press pellet therapy on the alleviation of constipation. Methods: The data were collected from October to November, 2009, and the subjects included 39 elders (experimental group: 20, control group: 19) from a senior citizens center in B City who reported constipation. Experimental group received an intervention of hand moxibustion and hand press pellet therapy three times a week for six weeks (total: 18 times). Data about the number of defecations per week and constipation degree scores were collected one week after each treatment. Results: 1. The number of defecation in the experimental group were different from that of the control group (F=228.26, $p$ <.001). 2. The degree of reported constipation in the experimental group differed from the control group (F=170.59, $p$ <.001). Conclusion: Hand moxibustion and hand press pellet therapy was shown to be effective in alleviating the constipation of elderly people by increasing the number of defecation per week and reducing the constipation degree scores. These two interventions can thus be used for alleviating the constipation of elderly people, replacing the stool softener and enema.

• Journal of Korean Academy of Nursing
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• v.25 no.2
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• pp.316-329
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• 1995

The purpose of this study was to exame the effectiveness of the hand massage as an independent nursing intervention for the cancer patients undergoing radiation therapy. The data were collected with quasiexperimental research design from 40 subjects-20 for experimental group and 20 for control group-of the radiation oncology department of one university hospital in Seoul from January 10th to March 29th, 1994. Subjects agreed to participate in this study and ranged in age from 18 to 82 years with mean age of 52.63. They had insight of their disease and had undergone radiotherapy at least twice. The hand massage developed by Mariah Snyder (1993) based on the Swedish Massage was administered to the experimental group prior to having radiation therapy at the waiting place of radiotherapy room. Hand massage was given to each hand of patient for five minutes once a day. Measurement of the patient's blood pressure, pulse rate, state anxiety and mood were done before and after the administration of hand massage for 5 days. The data were analyzed with paired t-test, t-test an4 the results were summarized as follows ; 1. After administration of the hand massage, the diastolic blood pressure of experimental group was decreased significantly, while the systolic blood pressure and the pulse rate were decreased, but not significantaly. 2. In the experimental group, the level of anxiety was significantaly lower than control group. The mean scores of the difference of the anxiety level after having hand massage was 8.60 in the experimental group and 0.75 in the control group. 3. The difference of the mood scores before and after the massage in the experimental group was decreased significantly. The mean mood score was decreased 4.80 in the experimental group as compared with 2.02 in the control group. 4. The patients after having the hand massage expressed subjectively their feeling of relaxation, well - being and being enjoyable, the significant decreased of physical symptoms and anxiety. The findings summarized that the use of the hand massage for the cancer patient undergoing radiation therapy Produced significant changes in the level of anxiety and relaxation. Therefore it is recommended to use the hand massage as an intervention for the patients.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.6
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• pp.594-599
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• 2006

In this paper an anthropomorphic robot hand called SKKU Hand IIl is presented, which has a miniaturized fingertip tactile sensor. The thumb is designed as one part of the palm and multiplies the mobility of the palm. The fingertip tactile sensor, based on polyvinylidene fluoride (PVDF) and pressure variable resistor ink, is physically flexible enough to be deformed into any three-dimensional geometry. In order to detect incipient slip, a PVDF strip is arranged along the direction normal to the surface of the finger of the robot hand. Also, a thin flexible sensor to sense the static force as well as the contact location is fabricated into an arrayed type using pressure variable resistor ink. The driving circuits and the tactile sensing systems for the SKKU Hand II are embedded in the hand. Each driving circuit communicates with others using CAN protocol. SKKU Hand II is manufactured and its feasibility is validated through preliminary experiments.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10b
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• pp.1774-1778
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• 1991

In this paper, we discuss the smooth hand-over of an object from a man to a robot and vice versa. In order for a robot to grasp an object or release a grasped object stably without using object model, as a man does, one of the basic approaches is the physiological method motivated by the study of human hands. So, we analyze human's grasping behavior by measuring grasp and friction forces simultaneously as a man grasps a experimental device which is designed for grasping or hand-over. Also, we investigate two methods that can predict when and bow fingers will slip upon a grasped object. And then, we propose a method of the hand-over of an object between a man and a robot by applying human's capability to a robot hand control.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.1
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• pp.194-199
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• 2016

EMG has specific information which is related to movements according to the activities of muscles. Therefore, users can intuitively control a prosthesis. For this reason, biosignals are very useful and convenient in this kind of application. Bioimpednace also provides specific information about movements like EMG. In this study, we used both EMG and bioimpedance to classify the typical hand gestures such as hand open, hand close, no motion (rest), supination, and pronation. Nine able-bodied subjects and one amputee were used as experimental data set. The accuracy was $98{\pm}1.9%$ when 2 bio-impedance and 8 EMG channels were used together for normal subjects. The number of EMG channels affected the accuracy, but it was stable when more than 5 channels were used. For the amputee, the accuracy is higher when we use both of them than when using only EMG. Therefore, accurate and stable hand motion estimation is possible by adding bioimepedance which shows structural information and EMG together.

• Journal of Korean Biological Nursing Science
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• v.5 no.2
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• pp.21-30
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• 2003

The effect of hand hygiene was measured by hand culture before and after hand hygiene for 86 nurses, doctors, and nurses aide/housekeepers in Surgical Intensive Care Unit. The subjects were asked to press their dominant hand in hand-shaped Mannitol salt agar immediately after patient contact and then washed their hand by preferred hand hygiene agents [soap and water, waterless alcohol gel, or 4% chlorhexidine gluconate detergent (CHG)], and cultured one hand again Amount of isolated microorganism was calculated by counting the number of divided areas ($1{\times}1cm$) which is culture positive in hand culture plate. The amount of microorganisms were significantly reduced from 58.1(${\pm}38.59$) to 27.4(${\pm}30.4$) cells after hand hygiene. The staff nurse's hand hygiene was more effective compared to medical doctors and nurses aide/housekeepers. Methicillin-resistant Staphylococcus aureus(MRSA) was isolated in 41(47.1%) subjects ; but only removed 100% in 28(32.2%) subjects. When the amount of hand microorganisms was compared by subject's preferred hand hygiene agents, it was decreased in order of 4% CHG, waterless alcohol solution, soap and water, and water. The hand hygiene practice was inadequate to reduce hand microorganisms and significantly different by occupations. Further research and development of hand hygiene improvement program which emphasize the quality of hand hygiene is recommended.

• Journal of Korean Society for Quality Management
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• v.18 no.2
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• pp.9-17
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• 1990

This paper deals with a FOQ( ; fixed-order quantity) model for spare-part inventory control. In a spare-part inventory problem, stock depletion arises not from external market demand but from internal demand resulting from failures of parts in use. The problem differs from the classical inventory problem in that the demand for a failed part never arises more during stockout period, since the unit remains inoperative when stockout occurs until the failed part is replaced by new one. In the problem under consideration, n identical units are operating simultaneously and failed one is replaced immediately by new one if on-hand spares remain. In order to replenish spares, an order with quantity Q is placed whenever the number of on-hand spares falls to levels. The average annual cost of operating the spare-part inventory system is derived under the assumption that both lifetime of a part and replenishment lead-time distributions are exponential.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.126.3-126
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• 2001

A new method to govern the navigation of a mobile robot is proposed based on the following two procedures: one is to achieve vision information by using a 2 D-O-F camera as a communicating medium between a man and a mobile robot and the other is to analyze and to behave according to the recognized hand gesture commands. In the previous researches, mobile robots are passively to move through landmarks, beacons, etc. To incorporate various changes of situation, a new control system manages the dynamical navigation of a mobile robot. Moreover, without any generally used expensive equipments or complex algorithms for hand gesture recognition, a reliable hand gesture recognition system is efficiently implemented to convey the human commands to the mobile robot with a few constraints.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.89.3-89
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• 2001

Recently computer graphic technology has achieved remarkable development. Applications of this technology to various fields are expected. In this study, one application of computer graphics to the medical field is shown. We developed a rehabilitation system of hand manipulation using virtual reality aiming to offer enjoyable rehabilitation training to physically handicapped people with upper limb disabilities. This rehabilitation system generates training environments for upper limbs, such as moving balls in virtual space of computer. And by using data glove as a sophisticated input device, a user can manipulate objects in virtual space by his hand. By using this rehabilitation system, a user can have rehabilitation training under various conditions without feeling tedious.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3136-3150
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• 2015

A vision-based 3D tracking of articulated human hand is one of the major issues in the applications of human computer interactions and understanding the control of robot hand. This paper presents an improved approach for tracking and recovering the 3D position and orientation of a human hand using the Kinect sensor. The basic idea of the proposed method is to solve an optimization problem that minimizes the discrepancy in 3D shape between an actual hand observed by Kinect and a hypothesized 3D hand model. Since each of the 3D hand pose has 23 degrees of freedom, the hand articulation tracking needs computational excessive burden in minimizing the 3D shape discrepancy between an observed hand and a 3D hand model. For this, we first created a 3D hand model which represents the hand with 17 different parts. Secondly, Random Forest classifier was trained on the synthetic depth images generated by animating the developed 3D hand model, which was then used for Haar-like feature-based classification rather than performing per-pixel classification. Classification results were used for estimating the joint positions for the hand skeleton. Through the experiment, we were able to prove that the proposed method showed improvement rates in hand part recognition and a performance of 20-30 fps. The results confirmed its practical use in classifying hand area and successfully tracked and recovered the 3D hand pose in a real time fashion.