• CDE review
• /
• v.11 no.2
• /
• pp.9-14
• /
• 2005

• Journal of Digital Convergence
• /
• v.12 no.4
• /
• pp.319-326
• /
• 2014

According to the increasing mobile security users who have experienced authentication failure by forgetting passwords, user names, or a response to a knowledge-based question have preference for biological information such as hand geometry, fingerprints, voice in personal identification and authentication. Therefore biometric verification of personal identification and authentication for mobile security provides assurance to both the customer and the seller in the internet. Our study focuses on human hand biometric information recognition system for personal identification and personal Authentication, including its shape, palm features and the lengths and widths of the fingers taken from mobile phone photographs such as iPhone4 and galaxy s2. Our hand biometric information recognition system consists of six steps processing: image acquisition, preprocessing, removing noises, extracting standard hand feature extraction, individual feature pattern extraction, hand biometric information recognition for personal identification and authentication from input images. The validity of the proposed system from mobile phone image is demonstrated through 93.5% of the sucessful recognition rate for 250 experimental data of hand shape images and palm information images from 50 subjects.

• Journal of Digital Contents Society
• /
• v.16 no.1
• /
• pp.157-164
• /
• 2015

The existing input device is limited to keyboard and mouse. However, recently new type of input device has been developed in response to requests from users. To reflect this trend we propose the new type of input device that gives instruction as analyzing the hand motion of image without special device. After binarizing the skin color area using Cam-Shift method and tracking, it recognizes the hand motion by inputting the finger areas and the angles from the palm center point, which are separated through labeling, into four cardinal directions and counting them. In cases when specific background was not set and without gloves, the recognition rate remained approximately at 75 percent. However, when specific background was set and the person wore red gloves, the recognition rate increased to 90.2 percent due to reduction in noise.

• Journal of Digital Convergence
• /
• v.17 no.12
• /
• pp.375-382
• /
• 2019

The purpose of this study was to examine perception, attitude, performance on the hand washing by dental hygienist. A self-reported questionnaire was surveyed by 165 dental hygienist in G area. The data were analyzed for frequency analysis, average, standard deviation, independent t-test, one-way ANOVA, pearson's correlation coefficient by using SPSS 21.0 program. The perception on the hand washing, age and work place, career, Number of hand washing, Frequency of hand washing education were higher significantly. The attitude, performance on the hand washing by dental hygienist, age, career, work place were higher significantly. There were positive correlations among the perception, attitude, performance of dental hygienists on the hand washing by dental hygienist. The result of this study indicates a necessity for developing education programs consistently to improve perception, attitude, performance of hand washing by dental hygienist.

• Archives of Reconstructive Microsurgery
• /
• v.15 no.1
• /
• pp.10-16
• /
• 2006

We retrospectively evaluated our results of replantations of distal digital amputations and analyzed the factors deterrent to the survival of replanted digits. From January 2004 to 2005 June, we performed 101 cases of replantations following complete amputations at or distal to interphalangeal joint level. The study included 98 patients with a mean age of 35.6 years (range 1 to 63 years). Amputation level correlated to zone I (distal to the lunula)in 47 cases and zone II (lunula to distal interphalangeal joint) in 54 cases according to Yamano's classification. According to the mechanism of amputation, 24 cases (22.9%) suffered from guillotine type injury, 27 cases (27.1 %) from avulsion type injury and 50 cases (50%) from crush type injury. In all cases, a single arterial anastomosis was performed. Venous anastomosis on either volar or dorsal side was performed in 12 cases of amputation in zone II. Salvage procedure for venous drainage was performed in 98 cases. The mean duration of salvage procedures was 5.9 days (ranging from 4 to 14 days). Successful replantation was achieved in 96 cases (95.1%), which included 93.7% cases in zone I amputations and 96.3% cases in zone II amputations. A single venous anastomosis was performed in 12 cases of amputation in zone II. All of them survived completely. Among the 5 cases that failed to survive, 3 cases were related with avulsion injury in zone I. Initial mechanism of injury determines the survival rate of amputated parts as it is directly related with the status of vessels and soft tissues. Meticulous precaution during the salvage procedure may affect the overall survival rate of distal digital replantations.

• Journal of the Korean Society for Precision Engineering
• /
• v.21 no.8
• /
• pp.164-170
• /
• 2004

The skin movement artifacts are referred to as the relative motion of skin with respect to the motion of underlying bones. This is of great importance in joint biomechanics or internal kinematics of human body. This paper describes a novel experiment that measures the skin movement of a hand based on MR(magnetic resonance) images in conjunction with surface modeling techniques. The proposed approach consists of 3 phases: (1) MR scanning of a hand with surface makers, (2) 3D reconstruction from the MR images, and (3) registration of the 3D models. The MR images of the hand are captured by 3 different postures. And the surface makers which are attached to the skin are employed to trace the skin motion. After reconstruction of 3D models from the scanned MR images, the global registration is applied to the 3D models based on the particular bone shape of different postures. The results of registration are then used to trace the skin movement by measuring the positions of the surface markers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.05a
• /
• pp.553-556
• /
• 2015

In almost all of the Hand-made suit plants, while garment cutters are hard to measure the body size by their own, they are not quick. And each of the individual's standard is vague, so it is hard to get a consistency. So it will give the customers some displeasure with the body contact. To improve this kind of problems, in this paper proposes a efficient way that is hard to measure by the general image processing technology to measure when you manufacture a Hand-made suit and measure a body size by wearing a elastic band that has a printed mark that has some information of length and taking a picture of the body by a digital camera.

• Journal of the Korean Institute of Telematics and Electronics A
• /
• v.32A no.6
• /
• pp.41-50
• /
• 1995

A state-of-the-arts GaAs power metal semiconductor field effect transistor (MESFET) for 3.3V operation digital hand-held phone at 900 MHz has been developed for the first time, The FET was fabricated using a low-high doped structures grown by molecular beam epitaxy (MBE). The fabricated MESFETs with a gate width of 16 mm and a gate length of 0.8 .mu.m shows a saturated drain current (Idss) of 4.2A and a transconductance (Gm) of around 1700mS at a gate bias of -2.1V, corresponding to 10% Idss. The gate-to-drain breakdown voltage is measured to be 28 V. The rf characteristics of the MESFET tested at a drain bias of 3.3 V and a frequencyof 900 MHz are the output power of 32.3 dBm, the power added efficiency of 68%, and the third-ordr intercept point of 49.5 dBm. The power MESFET developed in this work is expected to be useful as a power amplifying device for digital hand-held phone because the high linear gain can deliver a high power added efficiency in the linear operation region of output power and the high third-order intercept point can reduce the third-order inter modulation.

• International Journal of CAD/CAM
• /
• v.3 no.1_2
• /
• pp.61-66
• /
• 2003

This paper describes a novel experiment that measures skin movement with respect to the flexional motion of a hand. The study was based on MR images in conjunction with CAD techniques. The MR images of the hand were captured in 3 different postures with surface markers. The surface markers attached to the skin where employed to trace skin movement during the flexional motion of the hand. After reconstructing 3D isosurfaces from the segmented MR images, the global registration was applied to the 3D models based on the particular bone shape of different postures. Skin movement was interpreted by measuring the centers of the surface markers in the registered models.

• Journal of The Korean Society of Integrative Medicine
• /
• v.11 no.2
• /
• pp.1-13
• /
• 2023

Purpose : Along with the rapid development of digital technology, the application of digital healthcare in the medical field is also increasing. According to many experts, increasing the amount of exercise and physical activity is a helpful way to prevent and manage physical problems in modern society. However, a lack of exercise, which is of the lifestyle of modern people, leads to the development of various diseases. This study aimed to examine the effects of digital exercise intervention using artificial intelligence (AI) on the physical abilities of adults whether digital exercise intervention can be a reliable and effective therapeutic option for musculoskeletal disorders in real-world clinical settings. Methods : In this study, exercise was conducted using a digital application to investigate the effects of an AI-based digital exercise intervention on the physical abilities of adults. A total of 13 adults were evaluated, and their physical abilities before and after the exercise intervention were compared. Hand-grip strength, functional leg muscle strength, dynamic balance, and quadriceps muscle strength were assessed. Exercise was performed using a digital application and in a non-face-to-face manner. AI identified the exercise status of each participant and adjusted the exercise difficulty level accordingly. The exercised daily for 4 weeks. Results : A total of 12 participants were analyzed for the final results. Significant improvements were observed in hand-grip strength, functional leg muscle strength (evaluated using the stand-up test), dynamic balance, and straight-gait ability (p<.05), indicating an increase in the overall muscular strength and physical function of the participants. Conclusions : Digital exercise intervention using AI is effective in improving physical abilities related to musculoskeletal function. It can be useful in clinical practice as an effective treatment option for patients with musculoskeletal disorders or muscle weakness.