• Journal of Sensor Science and Technology
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• v.31 no.3
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• pp.151-155
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• 2022

In this paper, we present a highly-sensitive gate/body-tied (GBT) metal-oxide semiconductor field-effect transistor (MOSFET)-type photodetector using multi-finger structure whose photocurrent increases in proportion to the number of fingers. The drain current that flows through a MOSFET using multi-finger structure is proportional to the number of fingers. This study intends to confirm that the photocurrent of a GBT MOSFET-type photodetector that uses the proposed multi-finger structure is larger than the photocurrent per unit area of the existing GBT MOSFET-type photodetectors. Analysis and measurement of a GBT MOSFET-type photodetector that utilizes a multi-finger structure confirmed that photocurrent increases in ratio to the number of fingers. In addition, the characteristics of the photocurrent in relation to the optical power were measured. In order to determine the influence of the incident the wavelength of light, the photocurrent was recorded as the incident the wavelength of light varied over a range of 405 to 980 nm. A highly-sensitive GBT MOSFET-type photodetector with multi-finger structure was designed and fabricated by using the Taiwan semiconductor manufacturing company (TSMC) complementary metal-oxide-semiconductor (CMOS) 0.18 um 1-poly 6-metal process and its characteristics have been measured.

• Korean Journal of Applied Biomechanics
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• v.29 no.3
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• pp.157-166
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• 2019

Objective: This study examined the effects of stimulating fingertip temperature on the patterns of force sharing and stability properties during multi-finger force production tasks. Method: 9 adult subjects (male: 3, female: 6, age: $26.11{\pm}4.01yrs$, height: $169.22{\pm}5.97cm$, weight: $61.44{\pm}11.27kg$) participated in this study. The experiment consisted of three blocks: 1) maximal voluntary contraction (MVC) task, 2) single-finger ramp task to quantify enslaving (i.e., unintended force production by non-task fingers), and 3) 12 trials of multi-finger steady-state force production task at 20% MVC. There were three temperature conditions including body-temperature (i.e., control condition), $40^{\circ}C$, and $43^{\circ}C$, and the stimulation was given to the index finger only for all experimental conditions. Results: There were no significant differences in the MVC forces, enslaving, and the accuracy of performance during the steady-state task between the conditions. However, the share of stimulated index finger force increased with the index fingertip temperature, while the share of middle finger force decreased. Also, the coefficient of variation of both index and middle finger forces over repetitive trials increased with the index fingertip temperature. Under the framework of the uncontrolled manifold (UCM) hypothesis used to quantify indices of multi-finger synergies (i.e., stability property) stabilizing total force during the steady-state task, the two variance components within the UCM analysis increased together with the fingertip temperature, while no changes in the synergy indices between the conditions. Conclusion: The current results showed that fingertip temperature stimulation only to index finger does not affect to muscle force production capability of multi-finger, independence of individual fingers, and force production accuracy by the involvement of all four fingers. The effect of fingertip temperature on the sharing pattern and force variation may be due to diffuse reflex effects of the induced afferent activity on alpha-motoneuronal pools. However, the unchanged stability properties may be the reflection of the active error compensation strategies by non-stimulated finger actions.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.1
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• pp.23-31
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• 2009

Recently, biometric techniques such as face recognition, finger-print recognition and iris recognition have been widely applied for various applications including door access control, finance security and electric passport. This paper presents the method of using finger-vein pattern for the personal identification. In general, when the finger-vein image is acquired from the camera, various conditions such as the penetrating amount of the infrared light and the camera noise make the segmentation of the vein from the background difficult. This in turn affects the system performance of personal identification. To solve this problem, we propose the novel and fast method for extracting the finger-vein region. The proposed method has two advantages compared to the previous methods. One is that we adopt a locally adaptive thresholding method for the binarization of acquired finger-vein image. Another advantage is that the simple morphological opening and closing are used to remove the segmentation noise to finally obtain the finger-vein region from the skeletonization. Experimental results showed that our proposed method could quickly and exactly extract the finger-vein region without using various kinds of time-consuming filters for preprocessing.

• Journal of Music and Human Behavior
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• v.10 no.2
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• pp.79-97
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• 2013

The purpose of this study was to obtain the normative data of finger strength using the keyboard and the MIDI(Musical Instrument Digital Interface) software. A total of 92 college students (46 male and 46 female) were recruited from universities located in Seoul and Chungcheong province and an average age was 21.7(SD = 1.8). After the completion of demographic information, each participant asked to press the five keys both in ascending and descending manners with the maximum strength of individual finger. The velocity was obtained as an indicator for finger pressing force by using the MIDI software. Results showed that the individual finger velocity ranged between 77 to 97 (Maximum possible velocity = 127). Regarding male's velocity data, the maximum velocity was found in index finger of dominant hand(96.9), while the minimum strength was found in ring finger of nondominant hand(78.5). Female data appeared to be similar to male's one in terms of maximum strength in dominant index finger(92) and minimum strength in nondominant ring finger(77.5). It also found that the statistically significant differences(p < .05) on finger strength of all fingers between dominant and non-dominant hands except the thumbs(p < .05). The current findings serves as a "normative standard" that proves the validity and effectiveness of hand rehabilitation training program using the electronic keyboard connected with the MIDI software to enhance functional changes in hands.

• Journal of the Ergonomics Society of Korea
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• v.35 no.5
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• pp.361-370
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• 2016

Objective:The aim of this study is to evaluate contributions of individual finger forces associated with various levels of submaximal voluntary contraction tasks. Background: Although many researches for individual finger force have been conducted, most of the studies mainly focus on the maximal voluntary contraction. However, Information concerning individual finger forces during submaximal voluntary contraction is also very important for developing biomechanical models and for designing hand tools, work equipment, hand prostheses and robotic hands. Due to these reasons, studies on the contribution of individual finger force in submaximal grip force exertions should be fully considered. Method: A total of 60 healthy adults without any musculoskeletal disorders in the upper arms participated in this study. The young group (mean: 23.7 yrs) consisted of 30 healthy adults (15 males and 15 females), and the elderly group (mean: 75.2 yrs) was also composed of 30 participants (15 males and 15 females). A multi-Finger Force Measurement (MFFM) System developed by Kim and Kong (2008) was applied in order to measure total grip strength and individual finger forces. The participants were asked to exert a grip force attempting to minimize the difference between the target force and their exerted force for eight different target forces (5, 15, 25, 35, 45, 55, 65, and 75% MVCs). These target forces based on the maximum voluntary contraction, which were obtained from each participant, were randomly assigned in this study. Results: The contributions of middle and ring fingers to the total grip force represented an increasing trend as the target force level increased. On the other hand, the contributions of index and little fingers showed a decreasing trend as the target force level increased. In particular, Index finger exerted the largest contribution to the total grip force, followed by middle, ring and little fingers in the case of the smallest target force level (5% MVC), whereas middle finger showed the largest contribution, followed by ring, index and little fingers at the largest target force levels (65 and 75% MVCs). Conclusion: Each individual finger showed a different contribution pattern to the grip force exertion. As the target force level increase from 5 to 75% MVC, the contributions of middle and ring fingers showed an increasing trend, whereas the contributions of index and little fingers represented a decreasing trend in this study. Application: The results of this study can be useful information when designing robotic hands, hand tools and work equipment. Such information would be also useful when abnormal hand functions are evaluated.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.38 no.12
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• pp.66-74
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• 2001

In this paper, we proposed the new structure of the Rake Finger using Walsh Switch, the shared accumulator, and the pipeline FWHT(Fast Walsh Hadamard Transform) algorithm for reducing the signal processing complexity resulting from the increase of the number of data correlators. The function simulation of the proposed architecture is performed by Synopsys tool and the timing simulation is performed by Compass tool. The number of computational operation in the proposed data correlators is 160 additions and the conventional ones is 512 additions when the number of walsh code channels is 4. As a result, it is reduced about 3.2 times other than the number of computational operation of the conventional ones. Also, the result shows that the data processing time of the proposed Rake Finger architecture is 90,496[ns] and the conventional ones is 110,696[ns]. It is 18.3% faster than the data processing time of the conventional Rake Finger architecture.

• Archives of Reconstructive Microsurgery
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• v.24 no.2
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• pp.62-67
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• 2015

Purpose: Pollicization typically involves surgical migration of the index finger to the position of the thumb. This procedure facilitates the conversion of a useless hand into a well-functioning one in patients who are not amenable to the toe-to-hand transfer. However, middle finger pollicization has been rarely reported. Materials and Methods: We reconstructed a thumb by immediate pollicization of the remnants of the middle finger in two patients who sustained a tumor and a trauma, respectively. The former, after cancer ablation was performed, has not been reported literally, and the latter involved free devitalized pollicization of the middle finger using a microsurgical anastomosis. The distal third extensor communis tendon was sutured to the proximal extensor pollicis longus tendon and the distal flexor digitorum superficialis and profundus were sutured to the proximal flexor pollicis longus. The abductor pollicis brevis tendon was sutured to the distal end of the first palmar interosseous muscle. Coaptation of the third digital nerve and the superficial radial nerve branch was performed. Results: Patients showed uneventful postoperative courses without complication such as infection or finger necrosis. Based on the principles of pollicization, a wide range of pinch and grasp movements was successfully restored. They were pleased with the functional and cosmetic results. Conclusion: Although the index finger has been the digit of choice for pollicization, we could also use the middle finger on specific occasions. This procedure provides an excellent option for the reconstruction of a mutilated thumb and could be performed advantageously in a single step.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.153-160
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• 2019

In this paper, we would like to support anyone who can rehabilitate conveniently and happily by implementing rehabilitation device and game contents that can improve the motor ability of fingers. So we developed a Finger Tapping Device that can measure finger-regulation ability, accuracy, and agility and implemented tracking, visual response, finger-regulation on game contents by utilizing this device. The verification of usability was confirmed by analyzing sEMG signals during the execution of three types of game contents after attaching sEMG to the flexor digitorum poundus, which is most involved in finger movement. As a result of the experiment, activation of the flexor digitorum poundus was performed during execution of every game contents. Furthermore, we confirmed that there is a difference in agility by measuring the reaction time for each finger according to the visual response.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.167-173
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• 2015

Extraction of Finger-end points is one of the most process for user multi-commands in the Hand-Gesture interface technology. However, most of previous works use the geometric and morphological method for extracting a finger-end points. Therefore, this paper proposes the method of user finger-end points extraction that is motivated a ultrared diffused illumination, which is used for the user commands in the multi-touch display device. Proposed air-mouse is worked by the quantity state and moving direction of extracted finger-end points. Also, our system includes a basic mouse event, as well as the continuous command function for expending a user multi-gesture. In order to evaluate the performance of the our proposed method, after applying to the web browser application as a command device. As a result, the proposed method showed the average 90% success-rate for the various user-commands.

• Journal of Radiation Protection and Research
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• v.33 no.1
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• pp.41-46
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• 2008

To estimate the finger dose absorbed by $^{99m}Tc$ injection, simulations are carried out to calculate the dose equivalent of each finger per second with radioactivity of 370 MBq, based on the GEANT4 simulator. For the $^{99m}Tc$ source of the volume of 0.4mL and the radioactivity of 370 MBq, we obtained the dose equivalent of the right thumb ($0.29\;{\mu}Sv{\cdot}sec^{-1}$), the right index finger ($1.19\;{\mu}Sv{\cdot}sec^{-1}$), the right middle finger ($1.07\;{\mu}Sv{\cdot}sec^{-1}$), the left thumb ($4.36\;{\mu}Sv{\cdot}sec^{-1}$), and the left index finger ($3.37\;{\mu}Sv{\cdot}sec^{-1}$), respectively. This simulation results may serve as a useful data in the prediction of finger dose absorbed by $^{99m}Tc$ injection.