• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.8
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• pp.1226-1232
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• 2008

Tight fitting glove pattern is necessary to convey oscillation to the skin from the sensors attached on the hands as found in the haptic device. However, it has been difficult to provide customized glove pattern for haptic device so far. The objective of the paper is to develop a 2D pattern that fit tightly to hands by adopting the recent 3D technology to the clothing science. In this study, the user graphic interface application software(2C-AN) for the semi-automatic garment pattern generation has been utilized to develop the methodology of construct tight-fitting glove pattern for the hand in natural position. A basic pattern was developed directly from the 3D images of hand and the verification of the proposed pattern was also provided.

• Journal of Engineering Education Research
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• v.10 no.2
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• pp.44-61
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• 2007

The present investigation is concerned chiefly with new curriculum development at the Department of Mechanical System & Design Engineering at Hongik University with the aim of enhancing creativity, team working and communication capability which modern engineering education is emphasizing on. 'Mechanical System & Design Engineering' department equipped with new curriculum emphasizing engineering design is new name for mechanical engineering department in Hongik University. To meet radically changing environment and demands of industries toward engineering education, the department has shifted its focus from analog-based and machine-centered hard approach to digital-based and human-centered soft approach. Three new programs of Introduction to Mechanical System & Design Engineering, Creative Engineering Design and Product Design emphasize hands-on experiences through project-based team working. Sketch model and prototype making process is strongly emphasized and cardboard, poly styrene foam and foam core plate are provided as working material instead of traditional hard engineering material such as metals material because these three programs focus more on creative idea generation and dynamic communication among team members rather than the end results. With generative, visual and concrete experiences that can compensate existing engineering classes with traditional focus on analytic, mathematical and reasoning, hands-on experiences can play a significant role for engineering students to develop creative thinking and engineering sense needed to face ill-defined real-world design problems they are expected to encounter upon graduation.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1994.04a
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• pp.390-394
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• 1994

In many cases, tasks are unpredictable and therefore not doable by special-purpose or pro-programble robots. So master/slave type robot hands which combine human perceptions with conventional robot hands are required as robot end effector. These also can be applied to hazardous worksites such as outer space, deep sea and nuclear power plant. In this study, master/slave type robot fingers with 3 joints each are designed and constructed. To control force accurately, TDT(tension difference type) torque sensors are constructed and attached toeachjoints of slave finger and new force reflecting control algorithm is suggested. Finally, experimental results show that the new control algorithm can be successfully applied.

• Journal of Food Hygiene and Safety
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• v.1 no.1
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• pp.57-66
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• 1986

Campylobacter jejuni has been recognized as one of the causes of human gastroenteritis. The feces of a variety of reservoir animals contain c. jejuni as commensals in the intestinal tracts, and are fundamental source of contamination. The intestinal organisms contaminate carcasses, equipment tools hands of the processing line workers and air of the processing facility. Once the contamination happens in the slaughterhouses or the meat processing facilities, it is very difficult to keep the carcasses free from the infection of c. jejuni. Various disinfectants are effective in minimizing the number of Campylobacter infections in the processing facilities by washing contaminated carcasses, tools, and hands. Direct contact with infected animals has been incriminated in transmission of infection caused by C. jejuni. Freezing, cooling with dry air and gamma irradiation are an effective way for preserving the meat and eliminating the transmission, but broad and enforced studies are needed for the practical use.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.331-336
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• 1995

In this past decade, industrial robot have substituted human workers successfully in certain areas, however, the applications are limited due to the shortcoming in their mechanism and control strategies. Many researchers, therefore, have focused on improving the mechanical and sensory capabilities. Developing mult-degree-of-freedom end effectors, in other words robot hands, is one of the topics that researchers have begun to improve the limitation. A set of direct drive type servo-pneumatic finger joint has been developed for a dexterous robot hand. To control the pneumatic finger joints, a prototype 4/3-way proportional control valve has been designed and tested as a preliminary, research for the control of the pneumatic finger joints. A series of experiments have been conducted to verify the performance characteristics of the valve and the conventional proportional error contral with minor-loop compensation has been used to control the anguar position of the finger joints.

• Journal of the Korean Institute of Telematics and Electronics C
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• v.34C no.2
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• pp.61-70
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• 1997

Human-hand gestures have been used a means of communication among people for a long time, being interpreted as streams of tokens for a language. The signed language is a method of communication for hearing impaired person. Articulated gestures and postures of hands and fingers are commonly used for the signed language. This paper presents a system which recognizes the korean sign language (KSL) and translates the recognition results into a normal korean text and sound. A pair of data-gloves are used a sthe sensing device for detecting motions of hands and fingers. In this paper, we propose a dynamic gesture recognition mehtod by employing a fuzzy feature analysis method for efficient classification of hand motions, and applying a fuzzy min-max neural network to on-line pattern recognition.

• The Journal of Korea Robotics Society
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• v.1 no.2
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• pp.188-196
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• 2006

During the communication and interaction with a human using motions or gestures, a humanoid robot needs not only to look like a human but also to behave like a human to make sure the meanings of the motions or gestures. Among various human-like behaviors, arm motions of the humanoid robot are essential for the communication with people through motions. In this work, a mathematical representation for characterizing human arm motions is first proposed. The human arm motions are characterized by the elbow elevation angle which is determined using the position and orientation of human hands. That representation is mathematically obtained using an approximation tool, Response Surface Method (RSM). Then a method to generate human-like arm motions in real time using the proposed representation is presented. The proposed method was evaluated to generate human-like arm motions when the humanoid robot was asked to move its arms from a point to another point including the rotation of its hand. The example motion was performed using the KIST humanoid robot, MAHRU.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10b
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• pp.1774-1778
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• 1991

In this paper, we discuss the smooth hand-over of an object from a man to a robot and vice versa. In order for a robot to grasp an object or release a grasped object stably without using object model, as a man does, one of the basic approaches is the physiological method motivated by the study of human hands. So, we analyze human's grasping behavior by measuring grasp and friction forces simultaneously as a man grasps a experimental device which is designed for grasping or hand-over. Also, we investigate two methods that can predict when and bow fingers will slip upon a grasped object. And then, we propose a method of the hand-over of an object between a man and a robot by applying human's capability to a robot hand control.

• Journal of Sensor Science and Technology
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• v.21 no.1
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• pp.28-33
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• 2012

The visual sensing of human hands plays an important part in many man-machine interaction/interface systems. Most existing visionbased hand detection techniques depend on the color cues of human skin. The RGB color image from a vision sensor is often transformed to another color space as a preprocessing of hand detection because the color space transformation is assumed to increase the detection accuracy. However, the actual effect of color space transformation has not been well investigated in literature. This paper discusses a comparative evaluation of the pixel classification performance of hand skin detection in four widely used color spaces; RGB, YIQ, HSV, and normalized rgb. The experimental results indicate that using the normalized red-green color values is the most reliable under different backgrounds, lighting conditions, individuals, and hand postures. The nonlinear classification of pixel colors by the use of a multilayer neural network is also proposed to improve the detection accuracy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1856-1869
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• 2015

This paper addresses the issues of 3D human activity detection, tracking and recognition from RGB-D video sequences using a feature structured framework. During human tracking and activity recognition, initially, dense depth images are captured using depth camera. In order to track human silhouettes, we considered spatial/temporal continuity, constraints of human motion information and compute centroids of each activity based on chain coding mechanism and centroids point extraction. In body skin joints features, we estimate human body skin color to identify human body parts (i.e., head, hands, and feet) likely to extract joint points information. These joints points are further processed as feature extraction process including distance position features and centroid distance features. Lastly, self-organized maps are used to recognize different activities. Experimental results demonstrate that the proposed method is reliable and efficient in recognizing human poses at different realistic scenes. The proposed system should be applicable to different consumer application systems such as healthcare system, video surveillance system and indoor monitoring systems which track and recognize different activities of multiple users.