• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.255-258
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• 2022

코로나 19로 인하여 많은 사람의 일상생활 활동량이 감소하였다. 이로 인하여 여행업계는 큰 타격을 입었다. 한국관광공사에서 실시한 '코로나19 국민 국내여행 영향조사' 응답자들에 따르면, 연간 여행횟수는 평균 6회였으나 코로나 확산이 본격화된 후, 평균 1.8회인 70% 가량 급감한 것으로 나타났다. 마찬가지로 문화체육관광부에서 실시한 '국민생활체육조사'에 따르면, 최근 5년간 증가 추세였던 생활체육 참여율이, 코로나 19의 영향으로 감소한 것으로 나타났다. 본 연구에서는 사용자가 직접 지도 위에 여행 및 운동 경로를 그릴 수 있도록 도와주고 그것을 다른 사용자와 공유하는 시스템을 개발하였다. 여행 및 운동 경로 공유 시스템을 통해 사용자들의 여행이나 운동 욕구를 증진 시키고 코로나 19로 인해, 감소한 활동량을 증가시킬 것으로 기대된다.

• Journal of IKEEE
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• v.22 no.4
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• pp.978-984
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• 2018

Currently, virtual reality technology is actively applied in the entertainment and game fields, and development of professional programs is gradually increasing due to the rapid development of Internet and web technologies. As the current paradigm for healthcare changes from treatment to prevention, it is more important to take good care of it in advance so it doesn't get sick. This paper allows users to monitor the amount of exercise directly after using VR sports games. By using this system, users can exercise more interestingly and manage their own fitness by receiving an analyzed amount of exercise.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.19-28
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• 2021

Nowadays, interest in health care is increasing due to Coronavirus (COVID-19), and a lot of people are doing home training as there are more difficulties in using fitness centers and public facilities that are used together. In this paper, we propose a personalized exercise recommendation algorithm using personalized propensity information to provide more accurate and meaningful exercise recommendation to home training users. Thus, we classify the data according to the criteria for obesity with a k-nearest neighbor algorithm using personal information that can represent individuals, such as eating habits information and physical conditions. Furthermore, we differentiate the exercise dataset by the level of exercise activities. Based on the neighborhood information of each dataset, we provide personalized exercise recommendations to users through a dimensionality reduction algorithm (SVD) among model-based collaborative filtering methods. Therefore, we can solve the problem of data sparsity and scalability of memory-based collaborative filtering recommendation techniques and we verify the accuracy and performance of the proposed algorithms.

• 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 the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.396-402
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• 2016

Recently, as the performance of smart phones has advanced and their distribution has increased, various functions in existing devices are accumulated. In particular, functions in smart devices have matured through improvement of diverse sensors. Various applications with the development of smart phones get fleshed out. As a result, services from applications promoting physical activity in users have gotten attention from the public. However, these services are about diet alone, and because these have no exercise motion recognition capability to detect movement in the correct position, the user has difficulty obtaining the benefits of exercise. In this paper, we develop exercise motion-recognition software that can sense the user's motion using a sensor built into a smart phone. In addition, we implement a system to offer exercise with friends who are connected via web server. The exercise motion recognition utilizes a Kalman filter algorithm to correct the user's motion data, and compared to data that exist in sampling, determines whether the user moves in the correct position by using a DTW algorithm.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.43-50
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• 2021

In this paper, we design and implement KITNESS, a windows application that feeds back the accuracy of fitness motions based on Kinect sensors. The feature of this application is to use Kinect's camera and joint recognition sensor to give feedback to the user to exercise in the correct fitness position. At this time, the distance between the user and the Kinect is measured using Kinect's IR Emitter and IR Depth Sensor, and the joint, which is the user's joint position, and the Skeleton data of each joint are measured. Using this data, a certain distance is calculated for each joint position and posture of the user, and the accuracy of the posture is determined. And it is implemented so that users can check their posture through Kinect's RGB camera. That is, if the user's posture is correct, the skeleton information is displayed as a green line, and if it is not correct, the inaccurate part is displayed as a red line to inform intuitively. Through this application, the user receives feedback on the accuracy of the exercise position, so he can exercise himself in the correct position. This application classifies the exercise area into three areas: neck, waist, and leg, and increases the recognition rate of Kinect by excluding positions that Kinect does not recognize due to overlapping joints in the position of each exercise area. And at the end of the application, the last exercise is shown as an image for 5 seconds to inspire a sense of accomplishment and to continuously exercise.

• The Journal of Korean Association of Computer Education
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• v.7 no.4
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• pp.1-6
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• 2004

For an e-learning class, many voice and video technics for enhancing student teacher interaction. But for programming exercise courses, it's very difficult to add interactive components via web browser. In this paper, we make an online algorithm bank to manage and search algorithms, build an programming exercise interface on web. Students can edit, compile and execute programs included in online algorithm bank. Online program compile and execution enhance e-learning effectiveness for programming courses, and make students feel ease for computer algorithms.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.631-632
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• 2013

본 논문에서는 EMG 신호를 기반으로 컬-덤벨 운동의 운동량을 분석하고 각 근육별 최적 운동량을 정의하여 운동을 가이드(guide)하는 방법을 제안한다. 제안하는 방법으로 운동 체육학 분야에서의 EMG 신호 분석 및 활용 범위를 넓힐 수 있으며, 사용자는 컬-덤벨 운동 중 각 근육별 운동량 및 이에 대한 적절성을 안내받아 올바른 자세를 유지함으로써 컬-덤벨의 운동 효과를 극대화할 수 있다.

• Journal of the Korean Society of Physical Medicine
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• v.7 no.3
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• pp.259-265
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• 2012

Purpose : Patients with Parkionson's disease have a temporal and spatial restriction for their's exercise treatment. The aim of this study is to verify the effectiveness of e-exercise program on balance, gait, and endurance ability in people with Parkinson's disease. Methods : Eighteen participants, with Parkinson's disease that ranged from stage to on the Hoehn & Yahr scale, were assigned to two group. Two group were divided into on-line group that exercised in home by computer video, and off-line group that exercised in clinical center. Exercise program that included 3 sections (warm-up, main exercise, cool down)-5 parts(stretch, strength, balance, gait, stretch) was used to train for participants. We used the functional reach test for balance ability, timed up and go test for gait ability, 6 minute walking test for endurance ability. Wilkoxon sign lank tests were used to assess the difference of balance, gait, and endurance ability in pre-and post test each groups. Mann-whitney tests were used to assess the difference of balance, gait, and endurance ability between groups. Results : Wilkoxon sign lank tests revealed that both group were improved the balance, gait and endurance agility by e-exercise program intervention. Mann-whitney tests showed that there were no differences between groups in the variation of balance, gait, endurance ability. Conclusion : We believe that exercise program with on-line(e-exercise program) is an effective intervention for people with Parkinson's disease and is no different than off-line exercise group in the variation of balance, gait, endurance ability.

• Journal of Electrical Engineering and Technology
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• v.10 no.6
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• pp.2434-2441
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• 2015

This paper proposes an exercise recommendation system for treating obesity that provides systematic recommendations for exercise and diet. Five body indices are considered as indicators for recommend exercise and diet. The system also informs users of prohibited foods using health data including blood pressure, blood sugar, and total cholesterol. To maximize the utility of the system, it displays recommendations for both indoor and outdoor activities. The system is equipped with multimode sensors, including a three-axis accelerometer, a laser, a pressure sensor, and a wrist-mounted sensor. To demonstrate the effectiveness of the system, field tests are carried out with three participants over 20 days, which show that the proposed system is effective in treating obesity.