• Journal of Ginseng Research
• /
• v.46 no.4
• /
• pp.543-549
• /
• 2022

Background: In physical activity or labor, the human body is in a state of high intensity stress, and all parts or physiological functions of the body respond positively to maintain or balance the need for movement. The human body has many physiological changes in the process of movement, and fatigue is the external manifestation of various complex changes inside the human body. Fatigue is also a physiological mechanism of self-protection after the body reaches a certain level of activity, which can prevent the occurrence of life-threatening excessive functional failure. The generation of fatigue is a very complex process, and its mechanism has not been concluded yet. Therefore, it is an important work to search and screen the effective components of natural plants that have anti-fatigue effect and to explore their mechanism. Methods: This was a 8-week, randomized, double-blind, placebo-controlled clinical trial. A total of 110 subjects who passed physical examination were included according to the scheme design, and randomly divided into a test group which was given KRG and a placebo control group. The calculation is carried out according to the standard of sub-high-intensity exercise test. Results: There was no adverse effect on safety index of subjects after taking red ginseng capsule. After KRG treatment, subjective strength grade is significant lower than placebo treatment. Blood lactic acid content is significantly get lower after trial in KRG group, and significant lower than placebo group. Creatine phosphokinase(CK) content is significantly get lower after trial in KRG group, and significant lower than placebo group. Conclusion: According to the criterion in the test scheme, the result shows that KRG is helpful on relieving physical fatigue.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.7 no.11
• /
• pp.2824-2838
• /
• 2013

There has been a lot of attention paid recently to analyze dynamic human gestures that vary over time. Most attention to dynamic gestures concerns with spatio-temporal features, as compared to analyzing each frame of gestures separately. For accurate dynamic gesture recognition, motion feature extraction algorithms need to find representative features that uniquely identify time-varying gestures. This paper proposes a new feature-extraction algorithm using temporal self-similarity based on a hierarchical human model. Because a conventional temporal self-similarity method computes a whole movement among the continuous frames, the conventional temporal self-similarity method cannot recognize different gestures with the same amount of movement. The proposed model-based temporal self-similarity method groups body parts of a hierarchical model into several sets and calculates movements for each set. While recognition results can depend on how the sets are made, the best way to find optimal sets is to separate frequently used body parts from less-used body parts. Then, we apply a multiclass support vector machine whose optimization algorithm is based on structural support vector machines. In this paper, the effectiveness of the proposed feature extraction algorithm is demonstrated in an application for taebo gesture recognition. We show that the model-based temporal self-similarity method can overcome the shortcomings of the conventional temporal self-similarity method and the recognition results of the model-based method are superior to that of the conventional method.

• The Journal of the Korea Contents Association
• /
• v.11 no.4
• /
• pp.215-224
• /
• 2011

There have been studying many researches to detect human body and to track one with increasing interest on human and computer interaction. In this paper, we propose the algorithm that automatically extracts joints, linked points of human body, using the ratio of human body under single camera and tracks object. The proposed method gets the difference images of the grayscale images and ones of the hue images between input image and background image. Then the proposed method composes the results, splits background and foreground, and extracts objects. Also we standardize the ratio of human body using face' length and the measurement of human body and automatically extract joints of the object using the ratio and the corner points of the silhouette of object. After then, we tract the joints' movement using block-matching algorithm. The proposed method is applied to test video to be acquired through a camera and the result shows that the proposed method automatically extracts joints and effectively tracks the detected joints.

• ETRI Journal
• /
• v.44 no.2
• /
• pp.286-299
• /
• 2022

Human activity recognition in real time is a challenging task. Recently, a plethora of studies has been proposed using deep learning architectures. The implementation of these architectures requires the high computing power of the machine and a massive database. However, handcrafted features-based machine learning models need less computing power and very accurate where features are effectively extracted. In this study, we propose a handcrafted model based on three-dimensional sequential skeleton data. The human body skeleton movement over a frame is computed through joint positions in a frame. The joints of these skeletal frames are projected into two-dimensional space, forming a "movement polygon." These polygons are further transformed into a one-dimensional space by computing amplitudes at different angles from the centroid of polygons. The feature vector is formed by the sampling of these amplitudes at different angles. The performance of the algorithm is evaluated using a support vector machine on four public datasets: MSR Action3D, Berkeley MHAD, TST Fall Detection, and NTU-RGB+D, and the highest accuracies achieved on these datasets are 94.13%, 93.34%, 95.7%, and 86.8%, respectively. These accuracies are compared with similar state-of-the-art and show superior performance.

• International Journal of Advanced Culture Technology
• /
• v.9 no.3
• /
• pp.367-372
• /
• 2021

The purpose of this study is to suggest that the movement expression activity of intellectually disabled people is effective in the learning process of LMA motion recognition based on Kinect sensor. We performed an ICT motion recognition games for intellectually disabled based on movement learning of LMA. The characteristics of the movement through Laban's LMA include the change of time in which movement occurs through the human body that recognizes space and the tension or relaxation of emotion expression. The design and implementation of the motion recognition model will be described, and the possibility of using the proposed motion recognition model is verified through a simple experiment. As a result of the experiment, 24 movement expression activities conducted through 10 learning sessions of 5 participants showed a concordance rate of 53.4% or more of the total average. Learning motion games that appear in response to changes in motion had a good effect on positive learning emotions. As a result of study, learning motion games that appear in response to changes in motion had a good effect on positive learning emotions

• Korean Institute of Interior Design Journal
• /
• v.15 no.6 s.59
• /
• pp.11-18
• /
• 2006

Ceaseless studies and efforts to verify today's Korean nature that has advanced into digital era of 21C are continued. At this point of time, it is required to look back our heritage in diverse points of view free from theoretical and formal studies on our traditional spaces. Phenomenology, which is rising as the important theme in recent modem Western philosophy, suggests interesting analyses from this standpoint. This study is intended to analyze Korea's traditional residents 'Dok Rak Dang' based on Marleau-Ponty's phenomenology, and explore phenomenological spatial principle and new point of view implied in it. Particularly, Marleau-Ponty's phenomenology is the philosophy that shows intersubjective and involved relations between space and human, and intended to accept coincidental incidents occurred by human's action truthfully as they are. With three spatial concepts of direction, depth, and movement in Ponty's phenomenology, and placement nature of the earth that intercombine with human's body who is subject of these three concepts as analyze tool, Korea's traditional residents, 'Dok Rak Dang' has been analyzed. More segmentalized analyses have been deduced, and principle of phenomenology, that perceptions such as direction, depth, movement, etc are working synthetically to be accepted as essence of experiences could also be found in Dok Rak Dang.

• Korean Journal of Human Ecology
• /
• v.23 no.4
• /
• pp.653-663
• /
• 2014

In the design of stereoscopic clothing items, the 3D shapes of the space between clothing and body (SCB; Space shape between Clothing and Body) can be very important clues to improve the fit for various body shapes. Therefore, this research suggests a method for extracting the shape of SCB using the mold bra cup as an example. The SCBs were extracted from two kinds of 3D images, a small-breasted women's nude breast images and bra-wearing images. The the mold bra cups were compressed by wearing, and the outer and lower part of the SCBs could not be obtained because of the movement of the breast volume in the bras. Therefore, the SCBs could not be applied to the design of the mold bra cups directly. However, the suggested method can be useful when it is applied to stiffer clothing items and body parts whose shapes are not changed easily, such as a helmet or other body protectors.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.23 no.8
• /
• pp.985-994
• /
• 2012

This paper presents the real channel measurements and investigates their statistical characterization in wireless body area network(WBAN). In on-/off body channel, the measurements are performed with some representative human movements for considering human movements. Moreover, three signal transmission schemes with outage constraint are studied for getting total power consumption in each transmission scheme. Using the real channel measurements, between theoretical and realistic simulation are compared. This paper shows that power efficiency is improved through cooperative communication, and how much position of sensor node and human movement affect signal transmission power.

• Journal of the Korean Society of Costume
• /
• v.56 no.9 s.109
• /
• pp.112-126
• /
• 2006

In this study, to study the aesthetic properties of the Italy fashion, the internal fashion contents are defined according to the cultural characteristics of Italy and based on the definition, the external features are investigated. The cultural characteristic was analyzed based on the reference literatures on the Italy culture. The aesthetical properties of the contemporary Italy fashion can be analyzed as follows: ${\cdot}$ Functionalism is a feature showing the Italian cultural environment where the genuine humanism is retained. It enables the practical designs by applying details and materials that wouldn't put a limit to the movement of the human body. ${\cdot}$ Naturalism focuses on the natural beauty of the human body without any artificial forms or exaggerated ornaments. Natural texture or materials are used to express the human body itself, or to emphasize the natural aesthetic effects flowing with the human body. ${\cdot}$ Localism is the expression of folk spirit affected by the natural environment. It expresses local atmosphere by unique craftsmanship in material, pattern, color and details. Based on this result, the aesthetic properties of the contemporary France fashion, examined through ${\Iceil}$A Cultural Approach to the Aesthetic Characteristic of the 20th Century French Fashion${\rfloor}$ and those of the contemporary Italy fashion are compared.

• Korean Institute of Interior Design Journal
• /
• v.19 no.6
• /
• pp.83-90
• /
• 2010

Emotional interest in the 1970s, Japan started from the technical and engineering beyond the scope, period late structuralist entering the world has been the subject of interest, as well as in academic research is becoming the main theory. In addition, communication between various disciplines such as humanities through the study of consilience and fusion, the human life to continue as a subject, its importance has risen. So this study are to design for the study of emotion through the human heart in space and how the expression of emotions and can be validated in a study. GSD to evaluate the action (verb) and emotional words (adjective) related to two variables to measure the degree of correlation coefficient was an experiment to find out. Picasso painting, it is 'difficult to understand', 'special', 'interesting', 'not interested', 'confused', 'fun', 'anxious', 'dark', 'cool', 'hard' to have relevance, such as the distribution of emotional words, and as a result of the move was a lot of work. This result can be obtained through the arcane resistance of the cubist paintings that make a lot of body movements. In Renoir painting 'stable', 'warm', 'soft', 'easy to understand', 'bright', 'boring', 'curious', such as emotional words ranged to have a relationship with this behavior is less motion in space. This result can be obtained through the understanding of the Impressionist paintings that are less body movements. As a result, space design, emotional design in the evaluation (GSD) for the empirical analysis that evaluated the feasibility and future of the emotional space of the design could be based in the area is considered.