• The Journal of the Korea Contents Association
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• v.11 no.12
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• pp.103-111
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• 2011

The research has increased the role of physical activity in promoting health and preventing chronic disease. Estimating algorithm of physical activity energy expenditure was implemented by using a tri-axial accelerometer motion detector of the SVM(Signal Vector Magnitude) of 3-axis(x, y, z). COUNT method has been proven through experiments of validity Freedson, Hendelman, Leenders, Yngve was implemented by applying the SVM method. A total of 10 participants(5 males and 5 females aged between 20 and 30 years). The activity protocol consisted of three types on treadmill; participants performed three treadmill activity at three speeds(3, 5, 8 km/h). These activities were repeated four weeks. Customized estimating algorithm for energy expenditure of physical activities were implemented with COUNT and SVM correlation between the data.

• 건강소식
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• v.35 no.5
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• pp.26-27
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• 2011

사람이 받은 가장 큰 축복은 이족(二足)보행이다. 걷기는 건강 이전에 삶과 떼려야 뗄 수 없다. 일반적으로 현대인의 하루 걷는 양은 많아도 5,000보이고 활동량이 적은 경우에는 1,000보도 채 되지 않는다. 하루에 6,000보 정도만 걸어도 건강을 지킬 수 있다. 그렇다면 걷기는 어디에서 어떻게 하는 것이 좋으며 걸어야 하는 것일까.

• The Journal of the Korea Contents Association
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• v.5 no.5
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• pp.287-295
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• 2005

This paper describes user context awareness system, which is one of the most essential technologies in various application services of ubiquitous computing. The proposed system used two-akial accelerometer, embedded in SenseWear(R)PRO2 Armband (BodyMedia). When it was worn on the right upper arm of the experiment subjects, MAD (mean of absolute difference) value of the sensor data was calculated to quantify the amount of the wear's activity. Using this data, PC-based fuzzy inference system was realized to distinguish human motion states, such as, lying, sitting, walking and running and to recognize the restricted emergency situations. In laboratory experiment, the amount of activities for tying, sitting, walking and running were 0.204 g/s, 0.373 g/s, 2.808 g/s and 16.243 g/s respectively. The recognition rates of human motion states were 96.7 %, 93.0 %, 95.2 % and 98.4 % respectively for lying, sitting, walking and running. The recognition rate of restricted emergency situation was 100%.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.265-274
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• 2021

The Purpose of this paper was to explore the effect of hearing impairment on HRQOL in Korean elders. We carry out a cross-sectional analysis using nationally representative data from the KNHANES, 2016-2018. The survey was conducted on 4,754 elders who responded to questions about hearing impairment. Quality of life was compared between hearing impaired elders and elders with no hearing impairment using the t-test and chi-square test, and factors related to quality of life were analyzed by multivariate logistic regression using SPSS version 22.0. There was significant difference in quality of life between hearing impaired elders and elders with no hearing impairment. Walking exercise were identified as factors related to quality of life in elders with hearing impairment, while marriage status, walking exercise and limited movement were found to be related to quality of life among elders with no hearing impairment. In order to improve the HRQOL of elders with hearing impairment, multidisciplinary efforts and development of educational programs are required.

• The Journal of the Korea Contents Association
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• v.20 no.11
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• pp.511-524
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• 2020

Purpose: This study aims to examine the effect of increased physical activity (PA) regarding health-related quality of life (QOL) and nutrition intake in hemodialysis patients. Methods: The research was quasi-experimental using pre-test and posttest design. The participants were 60 patients, 30 each in the experimental and control group. The program was up to eight weeks long and involved two kinds of aerobic exercises: intradialytic aerobic exercise to be performed thrice a week and walking for up to seven days a week. The 60 patients undergoing hemodialysis for end-stage renal disease underwent assessment of International Physical Activity Questionnaires (IPAQ), 24-hour diet recall and a 12-item short-form health survey (SF-12; physical component summary score(PCS) and mental component summary score(MCS)) before and after the exercise program. Nutrition intake was assessed using CAN-2.0. Data were analyzed using descriptive statistics, independent t-test, 𝑥2 test, and Mann-Whitney U test. Results: In the experimental group, PA post-test scores were also significantly higher than the pre-test scores and the levels of physical component summary score (PCS) in QOL were significantly improved post-test, but the scores on nutrient intake did not improve. The levels of PCS were significant correlations animal protein, manganese, selenium, and Vitamin C. Although there was no group effect, total calorie of nutrition intake was higher than the comparison group. Conclusion: Combined intradialytic exercise and walking was found to be effective on PA, and PCS in QOL. Therefore, the findings of the current study may provide an appropriate guidance for encouraging exercise by hemodialysis patient.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.995-996
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• 2013

본 연구에서는 스마트폰을 이용하여 사용자의 활동상태를 추정할 수 있는 안드로이드 기반의 어플리케이션을 구현하였다. 이는 추가적인 센서를 사용하지 않고 항시 휴대하는 스마트폰을 이용함으로써 착용형의 시스템과 비교하여 사용자의 불편함을 최소화하여 활동상태를 추정할 수 있다. 이를 위하여 스마트폰 내부에 내장된 3축가속도센서 각 축의 변화량을 추출하였으며, 각 축에 대한 변화량과 활동량이 비례하여 나타나는 것을 이용하여, 변화량을 크기로 변환하는 SVM(Single Vector Magnitude)을 계산하였다. 또한 SVM의 절대값을 시간에 적분한 ISVM(Integral Single Vector Magnitude)을 통해 활동량을 정량화 하였으며, 천천히 걷기와 빠르게 걷기, 뛰기, 서있기로 이루어진 실험을 통해 활통상태 분류를 하였다. 또한 그 결과를 실시간으로 모니터링하기 위한 스마트폰 어플리케이션을 구현함으로써 추가적인 설비 없이 활동상태를 추정하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.279-280
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• 2023

최근 지구온난화로 인해 온도가 점점 상승하면서 홍수, 가뭄, 해수면 상승 등 이상 기후가 나타나고 있다. 이러한 상황을 막기 위해 기업과 국가 더 나아가 전 세계적으로 탄소 중립 활동을 실천하고 있다, 본 논문에서는 탄소 중립 활동에 도움을 주고자 전기차 충전소의 위치와 현재 상태를 실시간으로 확인할 수 있는 웹사이트를 서비스한다. 또한 사용자의 걷기 활동을 통해 이벤트를 진행하여 탄소 중립 활동을 장려하며, 다양한 교통정보 등을 서비스한다,

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.101-110
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• 2024

The purpose of this study is to analyze the effect of monitoring and feedback on walking activity using wearable devices on changes in body composition and metabolic syndrome factors in middle-aged woman. The subjects use a mobile interlocking wearable device for 6 month, feedback is provided through mobile app automatically transmitted step counter and walking activity. As a results, significantly difference shows on body weight, skeletal muscle mass, and body fat in statistically(p<.001). In changes of metabolic syndrome factor, systolic(p<.05), fasting flucose(p<.01), abdominal circumference(p<.001), TC(p<.001), and LDL-C(p<.05) are significantly difference. In conclusion, wearable devices that can be conveniently applied is an effective tool to increase walking activity and prevent metabolic syndrome of people with a sedentary lifestyle.

• Journal of Korea Game Society
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• v.14 no.1
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• pp.49-58
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• 2014

We have developed a serious game for the elderly named 'Paldokangsan3' as a next version of 'Paldokangsan2' which was a walking game with memorization in shopping streets using controllers of hand buttons and foot boards with PC developed in 2012. The interface of had buttons and food boards were changed into the interface of motion capture with the aid of Kinect. The expected effects are improvement of memorization, improvement of concentration ability to find out items in the vision, improvement of vitality through physical walking actions, as well as improvement of mental health through entertainment activities of game play. We have tested 25 volunteers of more than 65 years old in Cheonan city community center for the elderly for 2 weeks. We got the result that the game play was showing positive effectiveness on memorization, physical exercise and self-esteem in mental health area of the elderly.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.2
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• pp.127-137
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• 2011

We have developed a wearable device that can convert sensor data into real-time step counts and activity levels. Sensor data on gait were acquired using a triaxial accelerometer. A test was performed according to a test protocol for different walking speeds, e.g., slow walking, walking, fast walking, slow running, running, and fast running. Each test was carried out for 36 min on a treadmill with the participant wearing a portable gas analyzer (K4B2), an Actical device, and the device developed in this study. The signal vector magnitude (SVM) was used to process the X, Y, and Z values output by the triaxial accelerometer into one representative value. In addition, for accurate step-count detection, we used three algorithms: an heuristic algorithm (HA), the adaptive threshold algorithm (ATA), and the adaptive locking period algorithm (ALPA). A regression equation estimating the energy expenditure (EE) was derived by using data from the accelerometer and information on the participants. The recognition rate of our algorithm was 97.34%, and the performance of the activity conversion algorithm was better than that of the Actical device by 1.61%.