• KIPS Transactions on Computer and Communication Systems
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• v.8 no.4
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• pp.93-102
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• 2019

As interest in wellness grows, There is a lot of research about monitoring individual health using wearable devices. Accordingly, a variety of methods have been studied to distinguish exercise from daily activities using wearable devices. Most of these existing studies are machine learning methods. However, there are problems with over-fitting on individual person's learning, data discontinuously recognition by independent segmenting and fake activity. This paper suggests a detection method for exercise activity based on the physiological response principle of heart rate up and down during exercise. This proposed method calculates activity intensity and heart rate from triaxial and photoplethysmography sensor to determine a heart rate recovery, then detects exercise by estimating activity intensity or detecting a heart rate rising state. Experimental results show that our proposed algorithm has 98.64% of averaged accuracy, 98.05% of averaged precision and 98.62% of averaged recall.

• The Journal of Korean Physical Therapy
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• v.22 no.4
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• pp.65-71
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• 2010

Purpose: The aim of this study was to describe the effects of conservative treatment intervention for individual with scoliosis. Methods: Studies were selected through a search of computerized databases of the literature (KERIS, 2000-2010) using "early detection", "conservative treatment", "exercise", "physical therapy", "manipulation", "chiropractic", "therapy", "taping" and "orthosis" as keywords. Selected articles were classified by research design and statistical methods. Results: Application of the search strategy to the KERIS databases resulted in 132 articles. Based on titles and abstracts, 17 studies were selected, excluding articles of overlapping study, surgery, pharmacologic therapy and no correcting aim under conservative treatment. Among the 17 selected studies, the majorityof study design consisted of one group pretest-posttest design and additionally most of these studies were paired (or independent) t-test. The most frequently used intervention was exercise therapy. Conclusion: All articles showed that interventions were effective. Thus, early detection of scoliosis may be connected participation of early conservative treatment. It is important to reduce prevalence of scoliosis in adolescents using regular evaluation as an effective measure.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.11
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• pp.2275-2280
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• 2009

u-Healthcare service is one of attractive applications in ubiquitous environment. In this paper, we propose a method to recognize exercises using a new accelerometer based body-attached platform for supporting u-Healthcare service. The platform consists of a device for measuring accelerometer data and a device for receiving the data. The former measures a user's motion data using a 3-axis accelerometer. The latter transmits the accelerometer data to a computer for recognizing the user's exercise. The algorithm for exercise recognition classifies the type of exercise using principle components analysis(PCA) from the accelerometer data transformed by discrete fourier transform(DFT), and estimates the repetition count of the recognized exercise using a peak detection algorithm. We evaluate the performance of the algorithm from the accuracy of the recognition of exercise type and the error rate of the estimation of repetition count. In our experimental result, the algorithm shows the accuracy about 98%.

• Journal of Electrical Engineering and Technology
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• v.3 no.4
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• pp.576-583
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• 2008

In this study, we attempt to design a real-time autonomic nervous system(ANS) evaluation system usable during exercise using heart instantaneous frequency(HIF). Although heart rate variability(HRV) is considered to be a representative signal widely used ANS evaluation system, the R-peak detection process must be included to obtain an HRV signal, which involves a high sampling frequency and interpolation process. In particular, it cannot accurately evaluate the ANS using HRV signals during exercise because it is difficult to detect the R-peak of electrocardiogram(ECG) signals with exposure to many noises during exercise. Therefore, in this study, we develop the ground for a system that can analyze an ANS in real-time by using the HIF signal circumventing the problem of the HRV signal during exercise. First, we compare the HRV and HIF signals in order to prove that the HIF signal is more efficient for ANS analysis than HRV signals during exercise. Further, we performed real-time ANS analysis using HIF and confirmed that the exerciser's ANS variation experiences massive surges at points of acceleration and deceleration of the treadmill(similar to HRV).

• Journal of Biomedical Engineering Research
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• v.12 no.4
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• pp.261-266
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• 1991

As the ensemble averaged dz/dt signal during exercise gets smoothed, it is difficult to find the distinctive marks for estimation of stroke volume. The cross correlation function was made use of estimating these marks for automatic calculation by computer from the ensemble averaged dz/dt signal. LVET( Left Ventricular Ejection Time) and stroke volume were estimated based on the calculated parameters from the characteristic points. LVET, stroke volume calculated by hand, by the ensemble average and the cross correlation were compared for accuracy validation.

• Journal of the Korea Society of Computer and Information
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• v.17 no.12
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• pp.95-100
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• 2012

In this paper, we see the means for the assault, the type of unlawful exercise of power. Also, we see the violence, the physical exercise accompanying with assault. Now, it has caused numerous crimes in elevators. This paper is to present a way to extract the violence and assault that occurred in elevators. Key frame was extract by color histogram method, one of the ways to scene change detection techniques. Extracted key frames are key frames of a scene containing a forensic crime scene video. Also, the key frames of the scene should be submitted to the forensic evidence.

• Journal of Nutrition and Health
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• v.40 no.6
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• pp.531-541
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• 2007

This study was conducted to determine factors affecting detection threshold and the optimally-preferred concentration for sweet taste, since investigation into factors decreasing sensitivity or increasing preference for sweet taste is important to prevent overconsumption of simple sugar. Subjects were 70 first-grade middle school students in the Gyeonggi-Do. The detection threshold concentration of sucrose solution and the optimally-preferred sucrose concentration of omija jelly were determined by sensory evaluation. A self-administered questionnaire was used to obtain the information regarding health-related lifestyle practices, dietary habits, preference for and eating frequency of Westernized foods and frequencies of eating foods other than home-made. The detection threshold concentration of sucrose solution and the optimally-preferred sucrose concentration of omija jelly of the subjects were 0.204% and 14.44%, respectively. Subjects who exercise less (< 30 minutes/week except PE class), skipping meals (${\geq}$ 3/week), type of breakfast rather than traditional Korean meal and frequent eating out and buying foods from school tuck-shop tended to have higher sweet taste threshold. There was significant positive correlation between the sucrose threshold concentration and fried chicken preference or eating frequency of hamburger. Those who exercise less (< 30 minutes/week except PE class) did have significantly higher optimally-preferred sweetness of omija jelly, which tended to be higher in the subjects who had more (${\geq}$ 4 out of 10) behavioral or psychological stress symptoms and who had early getting-up time (before 7 am). There was significant positive correlations between the optimally-preferred sweetness of omija jelly and pizza preference, instant noodle eating frequency or sum of eating frequencies of five fast foods. From the results of this study, it was suggested that middle school students should make efforts to stop skipping meals, exercise more, eat Korean traditional breakfast and reduce the frequencies of eating out and using instant/fast foods in order to prevent overconsumption simple sugar.

• Physical Therapy Korea
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• v.7 no.3
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• pp.1-18
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• 2000

The present study was performed to investigate the prevalence rate of idiopathic scoliosis and to determine the effect of exercise training on scoliotic angle in elementary school children. In this study, two out of five elementary schools in Seosan city were chosen by random sampling. Seven hundred sixty four students (from four grade to the sixth grade student) were selected in two schools. Screening tests were conducted to find idiopathic scoliosis. Among the 764 individuals, 139 subjects who showed positive sign in physical examination took whole spine radiography. Thirty six subjects who had a curve of 10 or greater and consented to participate in the exercise program were selected for the exercise program. The exercise program was performed four times a week for 5 months. The results of this study were as follows: 1) One hundred thirty nine subjects showed positive sign in the scoliosis screening test. 2) The overall prevalence of curve of $10^{\circ}or$ greater in X-ray finding was 8.15%. The prevalencies of curve of $10^{\circ}or$ greater in male and female were 7.1% and 9.2%, respectively. 3) Scoliosis curves were observed at thoracic area (48.4%), at thoracolumbar area (27.4%) and at lumbar area(24.4%). 4) Right side curve was 59.7%, and left side curve was 40.3%. 5) After the 5 month exercise program for scoliosis, the Cobb's angle was significantly decreased. 6) There was no significant difference of Cobb's angle change respect to sex, grades, and scoliosis curve site. Results shown here indicates that an early detection and early exercise for scoliosis can result in decreased the Cobb's angle in elementary school children.

• Journal of the military operations research society of Korea
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• v.11 no.2
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• pp.6-14
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• 1985

The layered multi-barrier defense situation against penetrating enemy threat is analytically modeled towards minimizing the penetration probability. Each layer is characterized by probability of detection and probability of kill given detection. The two capabilities are assumed independent. Detection in a layer, however, affects detection performance in subsequent layers. The following three models were formulated and investigated: (1) 'Model A' permits increase of detection performance in only the next barrier, (2) 'Model B' permits the increase in all subsequent barriers linearly, and (3) 'Model C' expresses the increase in an asymptotic exponential way. The best and the worst barrier combinations are determined through model exercise and model performances are compared through sensitivity analysis for the 'intensification factor.'

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.9
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• pp.1688-1693
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• 2007

The aim of this paper is to develop and verify the system which can detect heart rate during exercise by using conductive fabric electrode and transportable measurement module. The experiment was performed under 4 conditions(resting, walking, jogging, running) and 18 subjects data are used. By using the ECG measurement system used in cardiac stress testing as reference value in order to verify the accuracy of the developed system, the relative error and correlation coefficient was calculated for each subject at every 3 seconds. The results have shown that the high correlation between the developed system and the reference system for detecting heart rate during exercise. Relative error and correlation coefficient are 2.27% and 0.9877, respectively. 7 subjects data are omitted in these calculations because of severe noises. Therefore, it is expected that this system could be used as a health monitoring system in ubiquitous environment in the future.