• Journal of IKEEE
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• v.26 no.2
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• pp.249-256
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• 2022

The prosthetic leg is a device that performs walking instead of a amputated lower limb, and require a change in locomotion mode by providing the user's intention to respond to a discontinuous locomotion environment. Research has been conducted to detect the users' intentions through biomechanical features inside the socket that directly contacts the cut site in demand for natural locomotion mode changes without external control equipment. However, there is still a need for a sensor system that is suitable for the internal environment of the main body and socket of the cut site. Accordingly, this paper proposed a film-type sensor system that is suitable for the main body characteristics of the cut site, is not affected by the temperature and humidity conditions inside the socket, and is easy to manufacture in various sizes. The proposed sensor is manufactured base on Velostat film and takes into account the pressure measurement characteristics that vary with size. Through the experiment, the change in the internal pressure of the socket due to the intentional posture performance of the wearer was measured, and the possibility of detecting the intention to change the locomotion mode was confirmed.

• Journal of Korea Multimedia Society
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• v.11 no.11
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• pp.1501-1514
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• 2008

The face shape extracted by the depth values has different appearance as the most important facial information. The face images decomposed into frequency subband are signified personal features in detail. In this paper, we develop a method for recognizing the range face images by multiple frequency domains for each depth image using the modified fuzzy c-mean algorithm. For the proposed approach, the first step tries to find the nose tip that has a protrusion shape on the face from the extracted face area. And the second step takes into consideration of the orientated frontal posture to normalize. Multiple contour line areas which have a different shape for each person are extracted by the depth threshold values from the reference point, nose tip. And then, the frequency component extracted from the wavelet subband can be adopted as feature information for the authentication problems. The third step of approach concerns the application of eigenface to reduce the dimension. And the linear discriminant analysis (LDA) method to improve the classification ability between the similar features is adapted. In the last step, the individual classifiers using the modified fuzzy c-mean method based on the K-NN to initialize the membership degree is explained for extracted coefficient at each resolution level. In the experimental results, using the depth threshold value 60 (DT60) showed the highest recognition rate among the extracted regions, and the proposed classification method achieved 98.3% recognition rate, incase of fuzzy cluster.

• Journal of Korea Multimedia Society
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• v.11 no.4
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• pp.423-433
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• 2008

The surface curvatures extracted from the face contain the most important personal facial information. In particular, the face shape using the depth information represents personal features in detail. In this paper, we develop a method for recognizing the range face images by combining the multiple face regions using fuzzy integral. For the proposed approach, the first step tries to find the nose tip that has a protrusion shape on the face from the extracted face area and has to take into consideration of the orientated frontal posture to normalize. Multiple areas are extracted by the depth threshold values from reference point, nose tip. And then, we calculate the curvature features: principal curvature, gaussian curvature, and mean curvature for each region. The second step of approach concerns the application of eigenface and Linear Discriminant Analysis(LDA) method to reduce the dimension and classify. In the last step, the aggregation of the individual classifiers using the fuzzy integral is explained for each region. In the experimental results, using the depth threshold value 40 (DT40) show the highest recognition rate among the regions, and the maximum curvature achieves 98% recognition rate, incase of fuzzy integral.

• Journal of Yeungnam Medical Science
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• v.3 no.1
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• pp.313-318
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• 1986

Primary aldosteronism is a disease that the stimulus for the excessive aldosterone production resides within the adrenal gland. It was first described by conn in 1955. And many cases were reported by physicians at present in the world. But it is relatively rare in Korea, probably due to lack of attension and medical facilities. Only about 13 cases have been reported at present. The clinical, biochemical features in 1 case of primary aldosteranism caused by adrenal hyperplasia that was diagnosed at Yeungnam University Hospital was observed and the following result were obtained. 1. Clinical feature: The present case was 27-year-old woman who was admitted due to general weakness and easy fatigability. The above mensioned chief complaints occurred 8 months prior to admission when she delivered of second baby by cesarian section. Symptoms such as above chief complaints, intermittent muscle paralysis and cramping were noticed. Trousseau's sign was also present. The average blood pressure ranged from 170/90 to 200/120. 2. Biochemical abnormalities: Severe hypokalemia lower than 2.5 mEq/L was presented and 24 hours urine potassium showed markedly increased urinary loss.(228 mEq/day). Plasma renin activity was decreased under normal range with furosemide administration.(Basal renin; 0.01ng/ml/hr, stimulated renin 0.12ng/ml/hr). Saline suppression test revealed markedly elevated levels of aldosterone higher than normal range. (Basal aldosterone; 320.68pg/ml stimulated aldosterone; 451.86pg/ml). And posture test showed decreased plasma renin activity and increased plasma aldosterone level. - PRA(ng/ml/hr)=Bsal: 0.05(0.15~2.33), Stimulated: 0.22(1.31~3.95) - Aldosterone(pg/ml)=Bsal: 242.77(10~160), Stimulated: 432.09(40~310) 3. Adrenal CT scan revealed no abnormal findings. 4. Treatment and course: Spironolactone was given at OPD with regular follow-up. Her blood pressure ranged from 150/90 to 160/100 and symptoms were improved. The effect of treatment was satisfactory and further follow up would be performed.

• KIPS Transactions on Computer and Communication Systems
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• v.6 no.6
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• pp.271-280
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• 2017

In this paper, we propose a new safety system composed of wearable devices, driver's seat belt, and integrating controllers. The wearable device and driver's seat belt capture driver's biological information, while the integrating controller analyzes captured signal to alarm the driver or directly control the car appropriately according to the status of the driver. Previous studies regarding driver's safety from driver's seat, steering wheel, or facial camera to capture driver's physiological signal and facial information had difficulties in gathering accurate and continuous signals because the sensors required the upright posture of the driver. Utilizing wearable sensors, however, our proposed system can obtain continuous and highly accurate signals compared to the previous researches. Our advanced wearable apparatus features a sensor that measures the heart rate, skin conductivity, and skin temperature and applies filters to eliminate the noise generated by the automobile. Moreover, the acceleration sensor and the gyro sensor in our wearable device enable the reduction of the measurement errors. Based on the collected bio-signals, the criteria for identifying the driver's condition were presented. The accredited certification body has verified that the devices has the accuracy of the level of medical care. The laboratory test and the real automobile test demonstrate that our proposed system is good for the measurement of the driver's condition.

• Journal of Advanced Navigation Technology
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• v.16 no.5
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• pp.864-870
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• 2012

Voice pattern recognition technology to solve the problems of the existing problems and common issues that you may have in language learning content analysis. This is the first problem of language-learning content, online learning posture. Game open another web page through the lesson, but the concentration of the students fell. Have not been able to determine the second issue according Speaking has made the learning process actually reads. Third got a problem with the mechanical process by a learning management system, as well by the teacher in the evaluation of students and students who are learning progress between the difference in the two. Finally, the biggest problem, while maintaining their existing content made to be able to solve the above problem. Speaking learning dedicated learning programs under this background, voice pattern recognition technology learning process for speech recognition and voice recognition capabilities for learning itself has been used in the recognition process the data of the learner's utterance as an audio file of the desired change to a transfer to a specific location of the server or SQL server may be easily inserted into any system or program, any and all applicable content that has already been created without damaging the entire component because the new features were available. Contributed to this paper, active participation in class more interactive teaching methods to change.

• Journal of East-West Nursing Research
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• v.8 no.1
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• pp.50-62
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• 2003

Through this literal study, we have endeavored to provide korea's unique nursing intervention methods based upon Lee Je-Ma's Sasang Constitutional Theory which is a unique korean medical science. The Sasang Constitution Theory lay great emphasis upon health caring medicine to promote health according to self Constitution at normal times, preventive medicine to manage byself body and mind in everyday life, and eventually, ethical medicine to love benevolence and kindness but to dislike jealousy.A variety of methods has been introduced to diagnose a person's Constitution. And yet, appearance, mind and pathological signs are three major criteria. In appearance, comprehensive features such as figure (the shape of the human body), countenance, behavior, mood, and posture are observed. In mind, nature (character), talent, steadiness, personality, and greed are investigated. In pathological signs, physiological conditions when healthy and peculiar symptoms when being ill are diagnosed. By these three criteria, each Constitution is categorised into Taiyang Person, Soyang Person, Taieum Person or Soeum Person. Different healthcaring methods exist for each Constitution such as mind and body healthcaring, diet healthcaring, knowledge and behaviour leathering, age group healthcaring, regional healthcaring, social life hralthcaring, everyday life healthcaring, and materia medication healthcaring. An independent and unique healthcaring method for each person according to self Constitution could be an important nursing intervention strategy, and can product a new nursing theory. To enjoy longevity by inducing positive caring methods, I believe that individual nursing may be the most desirable nursing approach. Lee Je-Ma's Sasang Constitution caring method is not only a general nursing theory but also expected to be an important landmark/milestone/factor in Korean nursing, preventive nursing, developing new nursing intervention methods and forming new nursing theories. Therefore, it is required to conduct thorough, practical and theoretical researches in the field of nursing.

• Korean Journal of Applied Biomechanics
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• v.18 no.3
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• pp.61-69
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• 2008

The purpose of this study is to examine the success or failure on the balance beam in element group requirements posture which is bending salto side-ward tucked through kinetic analysis. The national team players were participated. The goal was to present training methods to coaches and athletes so as to provide scientifically useful information. The results from this study were summarized as below. When the performance was successful, the features of the body's center of gravity during the side somersault motion showed to spread from the center of the balance beam and the center of the gravity moved to the direction of the body's rotation. In the spring sections - event2 and 3, when the performance was successful, up/down fluctuation became more wider and increased air time. It supported the result that the projecting variable was higher than in failure trial. In addition, the right side hip joint angles and speed, and angular velocity as jumping up for a leap were larger than in failure trial. Those variables showed the optimal conditions for a leap. By increasing the speed of the upper limb from the shoulder and the speed of the shoulder joint angular velocity, the momentum was increased. Especially the right side shoulder joint angular velocity increased dramatically because the right leg was held. As to the side somersault motion, the angular momentum of successful trial with respect to x-axis was bigger than failed trial. It indicated that the increasing angular momentum with respect to x-axis was an important factor in flying motion. Besides, as to side somersault, the appropriate proportion of angular momentum with respect to y-axis and z-axis was a key to successful trails.

• Journal of Life Science
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• v.29 no.2
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• pp.191-197
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• 2019

Parkinson's disease (PD) is a progressive neurodegenerative disease that mainly affects motor system with clinical features such as bradykinesia, rigidity, tremor and abnormal posture. PD is characterized by the death of dopaminergic neurons in the substantia nigra pars compacta, which is associated with accumulation of oxidative stress and dysregulation of intracellular signaling pathway. Quercetin-3-O-glucuronide (Q3GA), a major metabolite of quercetin, has been reported to have neuroprotective effects. In this study, we examined the neuroprotective effect of Q3GA against 1-methyl-4-phenyl pyridinium ($MPP^+$)-induced neurotoxicity of PD and the underlying molecular mechanisms in SH-SY5Y cells. MTT and LDH assay showed that Q3GA significantly decreased $MPP^+$-induced cell death, which is accompanied by a reduction in poly (ADP-ribose) polymerase (PARP) cleavage. Furthermore, it attenuated $MPP^+$-induced intracellular reactive oxygen species (ROS) with the reduction of Bax/ Bcl-2 ratio. Moreover, Q3GA significantly increased the phosphorylation of Akt and cAMP response element binding protein (CREB), but it has no effects on the phosphorylation of extracellular signal-regulated kinase (ERK). Taken together, these results demonstrate that Q3GA significantly attenuates $MPP^+$-induced neurotoxicity through ROS reduction and Akt/CREB signaling pathway in SH-SY5Y cells. Our findings suggest that Q3GA might be one of the potential candidates for the prevention and/or treatment of PD.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.127-133
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• 2021

A recent study of people physically falling focused on analyzing the motions of the falls using a recurrent neural network (RNN) and a deep learning approach to get good results from detecting 2D human poses from a single color image. In this paper, we investigate a detection method for estimating the position of the head and shoulder keypoints and the acceleration of positional change using the skeletal keypoints information extracted using PoseNet from an image obtained with a low-cost 2D RGB camera, increasing the accuracy of judgments about the falls. In particular, we propose a fall detection method based on the characteristics of post-fall posture in the fall motion-analysis method. A public data set was used to extract human skeletal features, and as a result of an experiment to find a feature extraction method that can achieve high classification accuracy, the proposed method showed a 99.8% success rate in detecting falls more effectively than a conventional, primitive skeletal data-use method.