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The Estimation of Hand Pose Based on Mean-Shift Tracking Using the Fusion of Color and Depth Information for Marker-less Augmented Reality (비마커 증강현실을 위한 색상 및 깊이 정보를 융합한 Mean-Shift 추적 기반 손 자세의 추정)

  • Lee, Sun-Hyoung;Hahn, Hern-Soo;Han, Young-Joon
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.7
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    • pp.155-166
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    • 2012
  • This paper proposes a new method of estimating the hand pose through the Mean-Shift tracking algorithm using the fusion of color and depth information for marker-less augmented reality. On marker-less augmented reality, the most of previous studies detect the hand region using the skin color from simple experimental background. Because finger features should be detected on the hand, the hand pose that can be measured from cameras is restricted considerably. However, the proposed method can easily detect the hand pose from complex background through the new Mean-Shift tracking method using the fusion of the color and depth information from 3D sensor. The proposed method of estimating the hand pose uses the gravity point and two random points on the hand without largely constraints. The proposed Mean-Shift tracking method has about 50 pixels error less than general tracking method just using color value. The augmented reality experiment of the proposed method shows results of its performance being as good as marker based one on the complex background.

A Study on the Hand-washing Awareness and Practices of Female University Students (여자 대학생의 손 씻기 의식과 실천에 관한 연구)

  • Kim, Jong-Gyu;Kim, Joong-Soon
    • Journal of Food Hygiene and Safety
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    • v.24 no.2
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    • pp.128-135
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    • 2009
  • Hand-washing is one of the most important factors in infection control and in preventing cross-contamination. The objective of this study was to investigate female university students' awareness of hand-washing, their hand washing practices, and the difference between their awareness and practices. A self-administered questionnaire survey and direct observation in restrooms were separately carried out in a university campus and over four weeks' period. A total of 97.4% of the survey respondents claimed to wash their hands after using toilet, and 98.2% of the observed students actually did so according to the unnoticed observational study. However, only 6.3% of the students who washed their hands in the direct observation washed for more than 10 seconds, although 46.4% of respondents in the survey reported that they usually wash their hands for more than 10 seconds. Among the observed students who washed their hands, only 0.9% used soap, and 0.9% washed four parts of their hands. Paper towel was the most common hand-drying method in the direct observation and also in the survey. Significant differences were found in duration, use of soap, part of washing, and hand-drying method between the questionnaire survey and the direct observation (p<0.05). This study indicates that there is a noticeable difference between the awareness of hand-washing and hand-washing practices among female university students. Further research should examine hand-washing practices of female university students in restrooms outside the university campus.

CNN-Based Hand Gesture Recognition for Wearable Applications (웨어러블 응용을 위한 CNN 기반 손 제스처 인식)

  • Moon, Hyeon-Chul;Yang, Anna;Kim, Jae-Gon
    • Journal of Broadcast Engineering
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    • v.23 no.2
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    • pp.246-252
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    • 2018
  • Hand gestures are attracting attention as a NUI (Natural User Interface) of wearable devices such as smart glasses. Recently, to support efficient media consumption in IoT (Internet of Things) and wearable environments, the standardization of IoMT (Internet of Media Things) is in the progress in MPEG. In IoMT, it is assumed that hand gesture detection and recognition are performed on a separate device, and thus provides an interoperable interface between these modules. Meanwhile, deep learning based hand gesture recognition techniques have been recently actively studied to improve the recognition performance. In this paper, we propose a method of hand gesture recognition based on CNN (Convolutional Neural Network) for various applications such as media consumption in wearable devices which is one of the use cases of IoMT. The proposed method detects hand contour from stereo images acquisitioned by smart glasses using depth information and color information, constructs data sets to learn CNN, and then recognizes gestures from input hand contour images. Experimental results show that the proposed method achieves the average 95% hand gesture recognition rate.

Dorsalis Pedis Free Flap for Hand Reconstruction: A Technique to Minimize Donor Deformity (족배동맥 유리피판술을 이용한 수부 재건: 공여부 이환율 최소화 방법)

  • Son, Dae Gu;Kim, Hyun Ji;Kim, Jun Hyung;Han, Ki Hwan
    • Archives of Reconstructive Microsurgery
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    • v.13 no.1
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    • pp.43-50
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    • 2004
  • One of the major advantages of microsurgical reconstruction for defects of the hand is that these techniques allow for selection of the most ideal tissue to reconstruct a particular defect, thus optimizing the functional and aesthetic outcome. The dorsalis pedis free flap is an excellent reconstructive tool for various hand reconstructions. It has a reliable vasculature with vessels that are relative large on a long pedicle. It provides thin pliable tissue and be innervated by deep peroneal nerve. Coupled with its thinness and pliability, it is ideal for innervated cover of critically sensitive area, especially such as the hand. Thus it can be used as a cutaneotendinous flap, or an osteocutaneous flap. Otherwise, the major criticism with this flap is related to its uncertain vascularity and the donor defect. It is the purpose of this paper to outline our technique of flap elevation and donor site closure and to indicate our current use of this flap in hand reconstruction. We have treated 10 cases (6 burn scar contracture cases, 4 acute hand trauma cases) of hand reconstruction from Dec. 3, 1997 to Mar. 4, 2004 using dorsalis pedis free flap. The key points for sucess in terms of a viable flap and acceptable donor site are the preservation of the critical dorsalis pedis-first dorsal metatarsal vascular axis and the creation of a viable bed for grafting. In addition, we substituted preserved superficial fat skin graft for split thickness skin graft and wet environment was offered for good graft take. Preserved superficial fat skin is defined as composite graft containing epidermis, dermis and superficial fat layer. With sufficient care in flap elevation and donor site closure, a good graft take of preserved superficial fat skin under wet environment can be achieved with no functional disability and minimal cosmetic deformity in donor site. This flap has proved itself to be a best choice for hand reconstruction.

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FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS AND MODIFIED RIEMANN-LIOUVILLE DERIVATIVE NEW METHODS FOR SOLUTION

  • Jumarie, Guy
    • Journal of applied mathematics & informatics
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    • v.24 no.1_2
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    • pp.31-48
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    • 2007
  • The paper deals with the solution of some fractional partial differential equations obtained by substituting modified Riemann-Liouville derivatives for the customary derivatives. This derivative is introduced to avoid using the so-called Caputo fractional derivative which, at the extreme, says that, if you want to get the first derivative of a function you must before have at hand its second derivative. Firstly, one gives a brief background on the fractional Taylor series of nondifferentiable functions and its consequence on the derivative chain rule. Then one considers linear fractional partial differential equations with constant coefficients, and one shows how, in some instances, one can obtain their solutions on bypassing the use of Fourier transform and/or Laplace transform. Later one develops a Lagrange method via characteristics for some linear fractional differential equations with nonconstant coefficients, and involving fractional derivatives of only one order. The key is the fractional Taylor series of non differentiable function $f(x+h)=E_{\alpha}(h^{\alpha}{D_x^{\alpha})f(x)$.

Development of Surface Myoelectric Sensor for Myoelectric Hand Prosthesis

  • Choi, Gi-Won;Moon, In-Hyuk;Sung, So-Young;Lee, Mynug-Joon;Chu, Jun-Uk;Mun, Mu-Seong
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.1268-1271
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    • 2005
  • This paper proposes a compact-sized surface myoelectric sensor for myoelectric hand prosthesis. To fit the surface myoelectric sensor in the socket of the myoelectric hand prosthesis, the sensor should be a compact size. The surface myoelectric sensor is composed of a skin interface and a single processing circuit that are mounted on a single package. Since the skin interface has one reference and two input electrodes, and the reference electrode is located in middle of two input electrodes, we propose two types of sensors with the circle- and bar-shaped reference electrode, but all input electrodes are the bar-shaped. The metal material used for the electrodes is the stainless steel (SUS440) that endures sweat and wet conditions. Considering conduction velocity and median frequency of the myoelectric signal, we select the inter-electrode distance (IED) between two input electrodes as 18mm, 20mm, and 22 mm. The signal processing circuit consists of a differential amplifier with band pass filter, a band rejection filter for rejecting 60Hz power-line noise, amplifiers, and a mean absolute value circuit. We evaluate the proposed sensor from the output characteristics according to the IED and the shape of the reference electrode. From the experimental results we show the surface myoelectric sensor with the 18mm IED and the bar-shaped reference electrode is suitable for the myoelectric hand prosthesis.

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Human-Computer Interaction Based Only on Auditory and Visual Information

  • Sha, Hui;Agah, Arvin
    • Transactions on Control, Automation and Systems Engineering
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    • v.2 no.4
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    • pp.285-297
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    • 2000
  • One of the research objectives in the area of multimedia human-computer interaction is the application of artificial intelligence and robotics technologies to the development of computer interfaces. This involves utilizing many forms of media, integrating speed input, natural language, graphics, hand pointing gestures, and other methods for interactive dialogues. Although current human-computer communication methods include computer keyboards, mice, and other traditional devices, the two basic ways by which people communicate with each other are voice and gesture. This paper reports on research focusing on the development of an intelligent multimedia interface system modeled based on the manner in which people communicate. This work explores the interaction between humans and computers based only on the processing of speech(Work uttered by the person) and processing of images(hand pointing gestures). The purpose of the interface is to control a pan/tilt camera to point it to a location specified by the user through utterance of words and pointing of the hand, The systems utilizes another stationary camera to capture images of the users hand and a microphone to capture the users words. Upon processing of the images and sounds, the systems responds by pointing the camera. Initially, the interface uses hand pointing to locate the general position which user is referring to and then the interface uses voice command provided by user to fine-the location, and change the zooming of the camera, if requested. The image of the location is captured by the pan/tilt camera and sent to a color TV monitor to be displayed. This type of system has applications in tele-conferencing and other rmote operations, where the system must respond to users command, in a manner similar to how the user would communicate with another person. The advantage of this approach is the elimination of the traditional input devices that the user must utilize in order to control a pan/tillt camera, replacing them with more "natural" means of interaction. A number of experiments were performed to evaluate the interface system with respect to its accuracy, efficiency, reliability, and limitation.

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A Case Report of Injury of Other Nerves at the Wrist and Hand Level After Repetitive Work (상지 반복 작업 후 발생한 손목 및 손 부위의 기타 신경손상 치험 1례)

  • Kim, Young-ji;Park, Jeong-su;Sung, Hyun-kyung;Lee, Ju-ah;Kong, Kyung-hwan;Go, Ho-yeon
    • The Journal of Internal Korean Medicine
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    • v.37 no.5
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    • pp.847-854
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    • 2016
  • Background and Objective: The Korean agricultural population is now rapidly aging. Older people in rural areas are weak due to work-related musculoskeletal disorders. The aim of this case is to report treatment of injuries to the nerves at the wrist and hand level by Korean medicine. Methods: The patient in this case was a 74-year-old male. He had injured nerves at the right wrist and hand level due to agriculture work. We treated him with acupuncture, herbal medicine, etc. Results: The patient showed the first sign of recovery of his wrist after 13 days treatment. After 37 days of treatment, his wrist movement was restored to a nearly normal range. He showed the first sign of recovery in a finger after 19 days of treatment and his grasping power increased from 0% to 60%. The cold sensation in his hand and arm also disappeared. Conclusions: We cannot generalize based only on this one case study. Nevertheless, this report suggests that Korean medicine may be an effective treatment for injury of nerves at the wrist and hand level.

A Case Report of a Patient with Motor Disturbance of the Hand After Cerebral Infarction Treated with Electroacupuncture on Pal-sa (EX-UE9) (뇌경색 후 수부 미세운동 장애에 팔사혈(八邪穴)(EX-UE9) 전침을 적용한 호전 증례보고)

  • Kim, Jae-hak;Jung, Min-ho;Kim, Se-won;Cho, Ki-ho;Jung, Woo-sang;Kwon, Seung-won;Mun, Sang-kwan
    • The Journal of Internal Korean Medicine
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    • v.39 no.2
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    • pp.147-153
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    • 2018
  • Objective: The purpose of this case report is to evaluate the effect of electroacupuncture on Pal-sa (EX-UE9) for unilateral motor disturbance of the hand after cerebral infarction. Methods: One patient with unilateral motor disturbance of the hand following cerebral infarction (right basal ganglion and corona radiata) was treated with acupuncture, herbal medication, and electroacupuncture on Pal-sa (EX-UE9) once daily from June 30, 2016 to July 4, 2016. We evaluated improvement using the Box and Block Test (BTT) and 10-seconds Test, including the Finger Individual Movement Test (FIMT), the Hand Pronation and Supination Test (HPST), and the Finger Tapping Test (FTT). Results: After five days of treatment, increase of FIMT and FTT scores was observed after electroacupuncture on Pal-sa (EX-UE9). However, no increase was observed in BBT or HPST scores. Conclusions: This study suggests that electroacupuncture on Pal-sa (EX-UE9) can help treat motor disturbance of the hand after cerebral infarction.

Relationship between Ground Reaction Force and Attack Time According to the Position of Hand Segments during Counter Attack in Kendo

  • Hyun, Seung Hyun;Jin, HyeonSeong;Ryew, Che Cheong
    • Korean Journal of Applied Biomechanics
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    • v.27 no.1
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    • pp.1-7
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    • 2017
  • Objective: The purpose of this study was to analyze the relationship between ground reaction force (GRF) and attack time according to the position of hand segments during counter attack in Kendo. Method: The participants consisted of 10 kendo athletes (mean age: $21.50{\pm}1.95yr$, mean height: $175.58{\pm}5.02cm$, mean body weight: $70.96{\pm}9.47kg$) who performed standard head strikes (A) and counter attack with a preferred hand position of +10 cm (B), 0 cm (C), and -10 cm (D). One force-plate (AMTI-OR-7., USA) was used to collect GRF data at a sample rate of 1,000 Hz. The variables analyzed were the attack time, medial-lateral GRF, anterior-posterior GRF (AP GRF), peak vertical force (PVF), and loading rate. Results: The total attack time was shorter in types A and C than in types C and D. The AP GRF, PVF, and loading rate had significantly higher forces in types C and D than in types A and C. The attack time (bilateral and unilateral leg support and total) was positively correlated with the GRF variables (vertical GRF and loading rate) during the counter attack in Kendo (r = 0.779 [$R^2=0.607$], p < 0.001). Conclusion: The positions of the hand segments can be changed by various conditions of the opponent in Kendo competitions; however, the position preferred by an individual can promote the successful ratio of the counter attack.