• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.5
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• pp.191-197
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• 2023

Mobile shooting games are a representative example of PC games being transferred as they are. In the most mobile shooting games, joystick-like UI used in PC games have been moved to touch buttons, but the display is small, so the user's fingers cover the game screen, which is inconvenient. In mobile shooting games, in order to overcome the limitations of the small display and increase the immersion of the game, this paper introduces a user interface that integrates character movement and aiming, and intuitive UIs such as display rotation, shaking, and vibration. In addition, by analyzing the match process for each round, the character's insufficient abilities are identified and synergies to supplement the abilities are recommended in order to add fun to the game. This paper proved that the proposed goals are achieved by actually designing and implementing a mobile shooting game with the proposed functions on an Android smartphone.

• Journal of the Korean Society of Radiology
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• v.82 no.6
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• pp.1600-1605
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• 2021

Fibroma of the tendon sheath is a benign slow-growing fibrous tumor. Although rare, cases occurring in the upper extremities usually involve the fingers. It appears as a well-defined, roundor oval-shaped mass originating from the flexor tendon. Abundant fibrous stroma makes fibromas appear as a low intensity mass in all MRI sequences. Most of the fibromas manifest as painless soft tissue masses. Herein, we report a case of fibroma of the tendon sheath with an unusual clinical presentation, triggering carpal tunnel syndrome during wrist movement.

• Korean Journal of Applied Biomechanics
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• v.26 no.2
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• pp.175-181
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• 2016

Objective: The aim of this study was to investigate age-related changes of multi-finger synergy during a constant force production task with and without an additional mechanical constraint. Method: Fourteen elderly subjects (age: $78.50{\pm}4.63yrs$, height: $157.29{\pm}8.97cm$, weight: $65.13{\pm}6.93kg$) and 14 young subjects (age: $21.13{\pm}1.35yrs$, height: $171.57{\pm}8.43cm$, weight: $70.29{\pm}16.77kg$) participated in this study. The subjects were asked to place their index and middle fingers on two force transducers fixed on a small non-moving teeterboard and produce 10 N by pressing the sensors while watching force feedback on a computer screen under the no additional constraint condition (NAC). The subjects also performed the same task with an additional mechanical constraint (AC) where the subjects were asked to balance a teeterboard that could be rotated by finger forces. An uncontrolled manifold approach was used to calculate within-trial and between-trial multi-finger synergy indices, variance in uncontrolled subspace ($V_{UCM}$), and variance in subspace orthogonal to UCM subspace ($V_{ORT}$). Two-way repeated measured ANOVA was performed with the within-factor of task condition (with and without an additional constraint) and the between factor of groups (elderly and young). Results: The elderly group showed significantly increased within-trial $V_{ORT}$ in AC compared with NAC (p < .05) while the young group showed no significant difference between AC and NAC. There was no significant group difference for within-trial $V_{UCM}$. Between-trial $V_{ORT}$ remained unchanged between groups and conditions. However, between-trial $V_{UCM}$ for the elderly group significantly decreased in AC as compared to NAC, along with no significant difference for the young group. For multi-finger synergy, there was no significant group difference of within-trial synergy. However, between-trial synergy for the elderly group significantly decreased in AC as compared to NAC (p < .05). Conclusion: Our results indicate that aging decreased consistency (i.e., ability to perform the task on a moment-to-moment basis) with an additional mechanical constraint. In addition, aging was associated with decreased multi-finger synergy on a trial-to-trial basis.

• Journal of KIISE:Software and Applications
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• v.35 no.12
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• pp.780-788
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• 2008

Modeling hand poses and tracking its movement are one of the challenging problems in computer vision. There are two typical approaches for the reconstruction of hand poses in 3D, depending on the number of cameras from which images are captured. One is to capture images from multiple cameras or a stereo camera. The other is to capture images from a single camera. The former approach is relatively limited, because of the environmental constraints for setting up multiple cameras. In this paper we propose a method of reconstructing 3D hand poses from a 2D input image sequence captured from a single camera by means of Belief Propagation in a graphical model and recognizing a finger clicking motion using a hidden Markov model. We define a graphical model with hidden nodes representing joints of a hand, and observable nodes with the features extracted from a 2D input image sequence. To track hand poses in 3D, we use a Belief Propagation algorithm, which provides a robust and unified framework for inference in a graphical model. From the estimated 3D hand pose we extract the information for each finger's motion, which is then fed into a hidden Markov model. To recognize natural finger actions, we consider the movements of all the fingers to recognize a single finger's action. We applied the proposed method to a virtual keypad system and the result showed a high recognition rate of 94.66% with 300 test data.

• Journal of Trauma and Injury
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• v.23 no.2
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• pp.83-88
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• 2010

Purpose: It is not always easy to determine the existence of tendon injuries when it comes to patients with finger lacerations. Thus, we tried to find the difference in effectiveness and in compliance of patients when we employed two different types of diagnosis, conventional gross confirmation and ultrasonographic confirmation. Methods: From December 2009 to March 2010, we enrolled 14 patients with finger tendon injury at Soonchunhyang University Cheonan Hospital. The median age of the patients was $35.9{\pm}14.4$, and the ratio of females to males was 1:2.5 We evaluated the compliance of each patient by measuring four different categories (level of cooperativeness in showing their wound and in following the instructions, level of movement of their fingers during the diagnosis and total number of attempts to diagnose) by using a score from 1 to 3 for each category, for a total possible score of 12 for each patient. We also measured the painfulness of each patient by using a score of 1 to 10 and the time required for each diagnosis. Results: The levels of patients' compliance was $8.9{\pm}2.1$ when diagnosed with gross confirmation and $9.8{\pm}2.1$ when diagnosed with ultrasonographic confirmation (p value=0.042). The pain score of the patients was $3.7{\pm}1.7$ with gross confirmation and $2.9{\pm}1.2$ with ultrasonographic confirmation (p value=0.020). The median duration of time in each test was $6.7{\pm}4.8$ minutes with gross confirmation and $10.5{\pm}4.2$ minutes with ultrasonography (p value=0.006). Conclusion: Comparing gross confirmation and ultrasonographic confirmation, gross confirmation is a better method than ultrasonography because of time efficiency. However, ultrasonographic confirmation has advantages over gross confirmation in pain scale and better compliance of patients. Emergency physicians generally employ gross confirmation rather than ultrasonography in determining the existence of tendon injury in patients. In patients with finger lacerations without bone injury, ultrasonography can be considered as a secondary diagnostic tool, especially when patients have much pain.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.390-395
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• 2019

Hydrogymnastics so that sufficient exercise effect can be obtained using the resistance of water has a positive effect on patients who have to receive arthritis or rehabilitation treatment. However, the studies on the effect are insufficient, and the main cause of their effects has not been unclear yet. In this study, in order to identify the main cause of the effects of Hydrogymnastics, conducted Unsteady fluid flow simulation under the same conditions as the actual environment. The analysis model based on real hands, and the pressure fluctuation applied to the knuckle was analyzed by the computational fluid method. During the underwater movement of the hands, Various sizes of vortices were generated between fingers due to skin surface velocity and flow resistance. Pressure of about -500 Pa to +500 Pa is applied by the vortex flow. Also It was confirmed that the positive pressure and the negative pressure were continuously repeated up to maximum + 2000 Pa at the minimum of -2000 Pa at the portion where the direction was changed. Pressure fluctuations with a frequency of 20 Hz to 70 Hz were added continuously for each knuckle. These continuous pressure fluctuations provide a direct massage effect on the knuckles, an It is judged that the blood circulation at the relevant part is positively affected.