• Journal of Electrical Engineering and Technology
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• v.11 no.6
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• pp.1857-1862
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• 2016

Human activity recognition using depth information is an emerging and challenging technology in computer vision due to its considerable attention by many practical applications such as smart home/office system, personal health care and 3D video games. This paper presents a novel framework of 3D human body detection, tracking and recognition from depth video sequences using spatiotemporal features and modified HMM. To detect human silhouette, raw depth data is examined to extract human silhouette by considering spatial continuity and constraints of human motion information. While, frame differentiation is used to track human movements. Features extraction mechanism consists of spatial depth shape features and temporal joints features are used to improve classification performance. Both of these features are fused together to recognize different activities using the modified hidden Markov model (M-HMM). The proposed approach is evaluated on two challenging depth video datasets. Moreover, our system has significant abilities to handle subject's body parts rotation and body parts missing which provide major contributions in human activity recognition.

• Clinics in Shoulder and Elbow
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• v.5 no.2
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• pp.102-109
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• 2002

Purpose: To evaluate the results of the treatment of the supracondylar fractures of the humerus according to the fixation methods in adults Materials and Methods: Seven patients, aged 55 to 52 years (average,69 years), were reviewed after a mean follow-up of 37 months (range, 11-65 months). According to AO classification all fractures were classified as type A2 (simple transverse supracondylar fracture). Six patients underwent closed reduction and one patient, open reduction after failure of closed reduction. Percutaneous fixation with cannulated screws was performed to the 4 patients, per- cuta)leous fixation with Kirschner wires in 3 patients. All except one patients have associated medical problems. The results were assessed based on the Mayo Elbow Performance Score. Results: All the patients with cannulated screw fixation had stable bony union with excellent ranges of motion (mean: 5-125 degrees). All the three patients who received percuatnaous smooth K-wire fixation had nonunion with poor results, one of them had changed into cannulated screw. and then had good result. Conclusion: Although simple supracondylar fracture is similar to the pediatric fracture in nature, it should be firmly fixed with the method such as threaded cannualted screw rather than the simple fixation with K-wires.

• Journal of Korean Orthopaedic Sports Medicine
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• v.9 no.1
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• pp.22-27
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• 2010

Many people in these days participate in running as leisure due to urbanization and socio-economic development. Running is a simple exercise but it can induce its own specific injury pattern because of its repetitive motion. Most runners' injury is caused by chronic overuse syndrome rather than acute trauma. And common accompanying injury in running are anterior knee pain syndrome, Iliotibial band syndrome, stress fracture, plantar fasciitis, Achilles tendinitis, posterior tibial tendon syndrome. Most common area of runners' injury is knee joint. Therefore the authors reviewed the recent literatures and described the classification, etiology, prevention, rehabilitation in this article.

• Journal of Electrical Engineering and Technology
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• v.9 no.6
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• pp.2118-2125
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• 2014

Gait Recognition is a new technique to identify the people by the way they walk. Human gait is a spatio-temporal phenomenon that typifies the motion characteristics of an individual. The proposed method makes a simple but efficient attempt to gait recognition. For each video file, spatial silhouettes of a walker are extracted by an improved background subtraction procedure using Gaussian Mixture Model (GMM). Here GMM is used as a parametric probability density function represented as a weighted sum of Gaussian component densities. Then, the relevant features are extracted from the silhouette tracked from the given video file using the Principal Component Analysis (PCA) method. The Fisher Linear Discriminant Analysis (FLDA) classifier is used in the classification of dimensional reduced image derived by the PCA method for gait recognition. Although gait images can be easily acquired, the gait recognition is affected by clothes, shoes, carrying status and specific physical condition of an individual. To overcome this problem, it is combined with footprint as a multimodal biometric system. The minutiae is extracted from the footprint and then fused with silhouette image using the Discrete Stationary Wavelet Transform (DSWT). The experimental result shows that the efficiency of proposed fusion algorithm works well and attains better result while comparing with other fusion schemes.

• Journal of the Korean Society of Safety
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• v.35 no.2
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• pp.94-99
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• 2020

Bikers can be subjected to injuries from unexpected accidents even if they wear basic helmets. A properly designed airbag can efficiently protect the critical areas of the human body. This study introduces a wearable smart airbag system using machine learning techniques to protect human neck and shoulders. When a bicycle accident happens, a microprocessor analyzes the biker's motion data to recognize if it is a critical accident by comparing with accident classification models. These models are trained by a variety of possible accidents through machine learning techniques, like k-means and SVM methods. When the microprocessor decides it is a critical accident, it issues an actuation signal for the gas inflater to inflate the airbag. A protype of the wearable smart airbag with the machine learning techniques is developed and its performance is tested using a human dummy mounted on a moving cart.

• The Journal of Korea Robotics Society
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• v.7 no.4
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• pp.252-258
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• 2012

This paper describes hierarchical semantic map building using the classified area information in home environments. The hierarchical semantic map consists of a grid, CAIG (Classified Area Information in Grid), and topological map. The grid and CAIG maps are used for navigation and motion selection, respectively. The topological map provides the intuitive information on the environment, which can be used for the communication between robots and users. The proposed semantic map building algorithm can greatly improve the capabilities of a mobile robot in various domains, including localization, path-planning and HRI (Human-Robot Interaction). In the home environment, a door can be used to divide an area into various sections, such as a room, a kitchen, and so on. Therefore, we used not only the grid map of the home environment, but also the door information as a main clue to classify the area and to build the hierarchical semantic map. The proposed method was verified through various experiments and it was found that the algorithm guarantees autonomous map building in the home environment.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.889-894
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• 2009

Accompanied by the rapid development of Computer Vision, Visual surveillance has achieved great evolution with more and more complicated processing. However there are still many problems to be resolved for robust and reliable visual surveillance, and the cast shadow occurring in motion detection process is one of them. Shadow pixels are often misclassified as object pixels so that they cause errors in localization, segmentation, tracking and classification of objects. This paper proposes a novel cast shadow removal method. As opposed to previous conventional methods, which considers pixel properties like intensity properties, color distortion, HSV color system, and etc., the proposed method utilizes observations about edge patterns in the shadow region in the current frame and the corresponding region in the background scene, and applies Laplacian edge detector to the blob regions in the current frame and the background scene. Then, the product of the outcomes of application determines whether the blob pixels in the foreground mask comes from object blob regions or shadow regions. The proposed method is simple but turns out practically very effective for Gaussian Mixture Model, which is verified through experiments.

• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.2
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• pp.273-286
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• 2016

Protective coveralls are very uncomfortable to work in comparison to ordinary top and bottom separated clothing. A pattern maker has to consider the size of the human body and human motion range when designing protective coverall patterns. It is difficult to produce well-fitted coveralls because of the lack of readymade patterns despite the increased need for protective coveralls at various jobs. Patterns are decomposed by unsewing 18 products in the domestic market to provide the fundamental information on developing patterns for protective coveralls. The characteristics and differences of pattern types are compared after grouping patterns with information taken from the analysis of the shapes and measurements of patterns from the acquired patterns. The results of the analysis showed that on-market protective coveralls were less curved but much linear when compared to ordinary clothing patterns; however, the breasts and crotch circumferences were very loose and bulky, which is quite different from the other all-in one style working clothes. For the pattern shapes, patterns are classified into waistline-seamed and bustline-seamed types. The result of the hierarchical cluster analysis with 27 measurement variables were classified into four groups. Types by shape and measurements were related to each other; therefore, we expect the information of each type to be used in developing protective clothing patterns.

• Particle and aerosol research
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• v.11 no.2
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• pp.29-36
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• 2015

The purpose of this research is to find out the collection property of nanoparticle in diffusion filter to know particle size dispersion of nanomaterial using inertial force and principle of Brownian diffusion motion. We used inertial filters which are two different type and diffusion filters made by various kinds of Wiremesh and the different pieces of filter to compare with particle size distribution using NaCl particles. Finally, We made a conclusion as follows : (1) the bigger available charging volume is and the larger specific surface area of inertial filter is, the better collection efficiency is. (2) The higher wire-mesh number of filter is, the more collection efficiency of small particle is increasing because the wire of the higher Wiremesh number filter is thinner and denser. (3) The more pieces of wire-mesh filter, the more collection efficiency is increasing because it makes the residence time longer.

• Journal of Korea Multimedia Society
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• v.20 no.9
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• pp.1606-1618
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• 2017

The explosion effect of computer graphics Visual Effects(VFX) used in films and animations is an important element that determines the completeness of the film, and its usage is getting extended. The realistic explosion effect of VFX should be made according to observations and analysis of various factors of actual explosion in real world. This experimental research would suggest the efficient production guideline for the technical characteristics of underwater explosion of VFX. For this research process, first, the comparison of actual explosion and VFX explosion effect, classification of actual explosion, and characteristics of underwater explosion effect will be addressed. Second, based on the literature reviews, the four steps of experimental production analysis tool will be derived. Third, the experimental research will be processed in along with technical factors four steps of the underwater explosion effect, (1)realistic creation and emission of fluid, (2)fluid expansion control by water pressure, (3)bubble effect, and (4)motion of bubble & dissipation of fluid. The effective method of fluid simulation production will be verified through experimental studies based on the characteristics of the actual explosion process. This experimental study suggested the VFX production technique is expected to be used as the basic data for related research field.