• Biomolecules & Therapeutics
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• v.25 no.2
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• pp.105-111
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• 2017

It has been known that RA, one of major constituents of Perilla frutescens which has been used as a traditional folk remedy for sedation in oriental countries, shows the anxiolytic-like and sedative effects. This study was performed to know whether RA may enhance pentobarbital-induced sleep through ${\gamma}-aminobutyric$ acid $(GABA)_A-ergic$ systems in rodents. RA (0.5, 1.0 and 2.0 mg/kg, p.o.) reduced the locomotor activity in mice. RA decreased sleep latency and increased the total sleep time in pentobarbital (42 mg/kg, i.p.)-induced sleeping mice. RA also increased sleeping time and number of falling sleep mice after treatment with sub-hypnotic pentobarbital (28 mg/kg, i.p.). In electroencephalogram (EEG) recording, RA (2.0 mg/kg) not only decreased the counts of sleep/wake cycles and REM sleep, but also increased the total and NREM sleep in rats. The power density of NREM sleep showed the increase in ${\delta}-waves$ and the decrease in ${\alpha}-waves$. On the other hand, RA (0.1, 1.0 and $10{\mu}g/ml$) increased intracellular $Cl^-$ influx in the primary cultured hypothalamic cells of rats. RA (p.o.) increased the protein expression of glutamic acid decarboxylase ($GAD_{65/67}$) and $GABA_A$ receptors subunits except ${\beta}1$ subunit. In conclusion, RA augmented pentobarbital-induced sleeping behaviors through $GABA_A-ergic$ transmission. Thus, it is suggested that RA may be useful for the treatment of insomnia.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.603-607
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• 2004

The vision-based driver fatigue detection is one of the most prospective commercial applications of facial expression recognition technology. The facial feature tracking is the primary technique issue in it. Current facial tracking technology faces three challenges: (1) detection failure of some or all of features due to a variety of lighting conditions and head motions; (2) multiple and non-rigid object tracking and (3) features occlusion when the head is in oblique angles. In this paper, we propose a new active approach. First, the active IR sensor is used to robustly detect pupils under variable lighting conditions. The detected pupils are then used to predict the head motion. Furthermore, face movement is assumed to be locally smooth so that a facial feature can be tracked with a Kalman filter. The simultaneous use of the pupil constraint and the Kalman filtering greatly increases the prediction accuracy for each feature position. Feature detection is accomplished in the Gabor space with respect to the vicinity of predicted location. Local graphs consisting of identified features are extracted and used to capture the spatial relationship among detected features. Finally, a graph-based reliability propagation is proposed to tackle the occlusion problem and verify the tracking results. The experimental results show validity of our active approach to real-life facial tracking under variable lighting conditions, head orientations, and facial expressions.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.28 no.2D
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• pp.147-154
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• 2008

A variety of activity happens around the sidewalk in the city. Particularly, a large variety of activity happens in shopping area, but it causes an obstruction of economical revitalization since the pedestrians require time and cost to find what they want. So, this study will develop the path searching method to minimize the economical loss of shoppers by providing the significant path and supporting the walking movement. Firstly, consider existing network expression techniques and approach three points which are physical and environmental factor, the recognition of the pedestrians' space when changing the direction, and the recognition of restriction of vision and accessibility. Try to design the network DB and simulate the algorithm. As a result, it is now possible to do the path searching that considers variety of recognition factors and show the method how to make the path-searching algorithm for pedestrian.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.627-637
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• 2024

This paper studies the Soundscape, a movement that seeks to break away from the traditional conventions of music culture. To this end, I will examine how social, cultural, and technological developments have influenced the paradigm shift in music culture by paying attention to the Soundscape. I understand the characteristics of the Soundscape as a change pattern and discuss the characteristics of hearing and listening experience that have been overlooked so far from a phenomenological perspective. For the above discussion, Murray Schafer's concept of Soundscape, and for a phenomenological understanding of hearing and listening experience, une spatialité de situation, point d'écoute, horizons au son, champ auditif, le premier plan et l'arrière-plan, temporal focus, space-time, and l'être-au-monde are discussed. I hope that understanding the characteristics of sound, hearing, and listening experience will contribute to presenting new ideas for creative expression in artistic creation.

• Journal of Institute of Control, Robotics and Systems
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• v.18 no.12
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• pp.1079-1085
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• 2012

For precise motion control, S-curve velocity profile is generally used but it has disadvantage of relatively long calculation time for floating-point arithmetics. In this paper, we present a new generating method for velocity profile to reduce delay time of profile generation so that it overcomes such disadvantage and enhances the efficiency of precise motion control. In this approach, the velocity profile is designed based on the gamma correction expression that is generally used in image processing to obtain a smoother movement without any critical jerk. The proposed velocity profile is designed to support both T-curve and S-curve velocity profile. It can generate precise profile by adding an offset to the velocity profile with decimals under floating point that are not counted during gamma correction arithmetic operation. As a result, the operation time is saved and the efficiency is improved. The proposed method is compared with the existing method that generates velocity profile using ring buffer on a 8-bit low-cost MCU. The result shows that the proposed method has no delay in generating driving profile with good accuracy of each cycle velocity. The significance of the proposed method lies in reduction of the operation time without degrading the motion accuracy. Generated driving signal also shows to verify effectiveness of the proposed method.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.2 no.3
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• pp.53-60
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• 2009

The vision-based driver fatigue detection is one of the most prospective commercial applications of facial expression recognition technology. The facial feature tracking is the primary technique issue in it. Current facial tracking technology faces three challenges: (1) detection failure of some or all of features due to a variety of lighting conditions and head motions; (2) multiple and non-rigid object tracking; and (3) features occlusion when the head is in oblique angles. In this paper, we propose a new active approach. First, the active IR sensor is used to robustly detect pupils under variable lighting conditions. The detected pupils are then used to predict the head motion. Furthermore, face movement is assumed to be locally smooth so that a facial feature can be tracked with a Kalman filter. The simultaneous use of the pupil constraint and the Kalman filtering greatly increases the prediction accuracy for each feature position. Feature detection is accomplished in the Gabor space with respect to the vicinity of predicted location. Local graphs consisting of identified features are extracted and used to capture the spatial relationship among detected features. Finally, a graph-based reliability propagation is proposed to tackle the occlusion problem and verify the tracking results. The experimental results show validity of our active approach to real-life facial tracking under variable lighting conditions, head orientations, and facial expressions.

• Physical Therapy Rehabilitation Science
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• v.12 no.1
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• pp.62-71
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• 2023

Objective: Stroke patients need the training to adjust their posture and maintain balance is necessary to restore movement function, and unstable support training is one of the appropriate training. In this study, a systematic review and meta-analysis were conducted to find out the effects of unstable surface training on balance and gait in stroke patients. Design: Systematic review and meta-analysis Methods: After creating a search expression referring to MeSH and EMTREE, the literature from 1976 to February 2022 was searched in the databases of PubMed, EMBASE, and Cochrane Library CENTRAL. A total of 331 studies were searched from three databases, and 11 studies were finally selected according to the inclusion criteria. Unstable surface training included studies using balance trainer, Whole-body vibration, and sand surfaces. Results: The results were found to be d=2.28 (p=0.02) and the effect size was 0.36 (95% CI: 0.05, 0.67) on the Berg Balance Scale. In the Kinesthetic Ability Trainer static balance, d=2.59 (p=0.01) and the effect size was 1.01 (95% CI: 0.24, 1.78). Timed Up and Go test showed that d=2.18 (p=0.03) and the effect size was 0.38 (95% CI: 0.04, 0.72). At the gait speed, d=0.99 (p=0.32) and the effect size was 0.15 (95% CI: -0.15, 0.45). In the 6-minute walk test, d=0.14 (p=0.89) and the effect size was 0.04 (95% CI: -0.47, 0.55). Conclusions: In this study was found that training was effective in balance if it became unstable in standing posture. Therefore, unstable surface training can be used to improve the balance of stroke patients in clinical practice.

• The Journal of Korean Association of Computer Education
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• v.16 no.6
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• pp.55-70
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• 2013

This study tried to redesign a robot curriculum and proposed it for the purpose of enhancing, supporting sustainable development of robot in educations. For doing so, this study referred relevant existing literacy contents at robot literacy educations, and defined a robot literacy education. In addition, this study presented elements of robot literacy by dividing them into five kinds. In relation with the scope of robot literacy education suggested here, this study proposed basic robot area, measurement and observation along with robots based on three elements of robotics, movement and expression made by robots, my own robot design, and comprehensive activity area. Regarding to development stages of robot literacy, the study applied the classical model of curriculum development by Tyler (1949), and intended to secure validity and reliability on the curriculum composition, and then developed a curriculum after analyzing mathematics and science curriculums in existing elementary, middle schools accordingly.

• The Journal of the Korea Contents Association
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• v.13 no.7
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• pp.9-15
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• 2013

In the VnR (Virtual and Real Worlds) of recent virtual reality convergence, the modelling of realistic human face is focused on the facial appearance such as the shape of facial parts and muscle movement. However, the facial changing parameters caused by environmental factors beyond the facial appearance factors can be regarded as important ones in terms of effectively representing virtual avatar. Therefore, this study evaluates user's visual feeling response according to the opacity variation of eye reflection of virtual avatar which is considered as a new parameter for reprenting realistic avatar. Experimental result showed that more clear eye reflection induced more realistic visual feeling of subjects. This result can be regarded as a basis for designing realistic virtual avatar by supporting a new visual realistic representing factor (eye reflection) and its degree of representation (reflectance ratio).

• Journal of the Korea Computer Graphics Society
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• v.21 no.5
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• pp.29-36
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• 2015

Human fingers are essential parts of the body that perform complex and detailed motion. Expression of natural finger motion is one of the most important issues in character animation research. Especially, keyboard typing animation is hard to create through the existing animation pipeline because the keyboard typing typically requires a high level of dexterous motion that involves the movement of various joints in a natural way. In this paper, we suggest a method for the generation of realistic keyboard typing motion based on physics simulation. To generate typing motion properly using physics-based simulation, the hand and the keyboard models should be positioned in an allowed range of simulation space, and the typing has to occur at a precise key location according to the input signal. Based on the observation, we incorporate natural tendency that accompanies actual keyboard typing. For example, we found out that the positions of the hands and fingers always assume the default pose, and the idle fingers tend to minimize their motion. We handle these various constraints in one solver to achieve the results of real-time natural keyboard typing simulation. These results can be employed in various animation and virtual reality applications.