• 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 Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.127-132
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• 2019

Exercising and stretching are essential for the growth of children, but recently, children's outdoor activities are limited due to social risks such as fine dust and child crime. It has increased the need for children's programs that can be safely and easily followed indoors. In this paper, we developed a system to induce and manage children's voluntary stretching to support growth. The system developed in this paper recognizes the child's stretching motions in real-time using Kinect to evaluate the match rate with the standard motions. The system gives users the results with a calendar and check stamp to provide voluntary motivation for the child and to provide parents with systematic management of the child's progress.

• Journal of Korea Game Society
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• v.9 no.3
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• pp.121-128
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• 2009

In this paper, we have developed the balance board with electronic devices to use in various fields of remedial and physical balance exercise with interesting game and the functional game. Rehabilitation training using a funny game will be effective for patient's rehabilitation training. A Personal training system uses a balance board with an acceleration sensor and the game controlled by physical balance. To evaluate the operation of the developed system, we developed rehabilitation training game. The proposed game can be applicable to rehabilitation and balance training, and suggested game interface method could use a commercial game with various function through our emulator.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.5
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• pp.718-723
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• 2007

In this paper, we developed a personal hypertension management system (PHMS) having self-diagnosis function with PDA. The developed PHMS consists of five modules such as a personal information management, a life management, a food management, a sickness management, and network management modules. The personal information management module offers physical and fatness information as well as personal information. The life management module gives exercise and body mass index. The food management module includes caloric intake and the sickness management module renders a personal blood pressure and a subjective symptom. Finally, wireless networks are implemented for the network management. From these, it is possible to make a self diagnosis and be examined and treated remotely by sending the stored blood pressure related information to a medical doctor.

• The Journal of the Korea Contents Association
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• v.15 no.7
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• pp.591-600
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• 2015

Recently high interest in health and fitness has led to vibrant researches for the active fitness system to learn and enjoy the exercise program for oneself. In this paper, we design and implement the active spinning training system which enables user to have self-learning and experience of customized spinning training program by the biometric and movement information acquired from user's physiological signals. The proposed system provides the appropriate difficulty of spinning program which reflects the concordance rate of spinning dance gestures and the amount of exercising by analyzing the physical status of participant from his brain and pulse waves and recognizing the skeletal movement in real time. For the higher exercise effect, the system offers a virtual personal trainer to show the correct poses and controls the level of difficulty depending on the concordance rate of participant's motions. The experiment with various participants through the proposed system shows that it is able to help users in getting the available exercise effect in comparatively short time.

• Korean Journal of Applied Biomechanics
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• v.16 no.2
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• pp.55-63
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• 2006

The purpose of this study was to investigate the effects of vibration exercise using surface electromyography. Seven male collegiate wrestlers were participated in this study. Each subject stood on the platform and the vibration was induced for 1min. WEMG8 EMG system was used to record muscle activity from Vastus lateralis, Biceps Femoris, Tibialis Anterior, and Gastrocnemius. The EMG data were sampled for 30 sec. during non-vibration and vibration half squat position, respectively. The raw data were band pass filtered to remove noise and full wave rectified Paired sample t-test were performed to see the differences of maximum and average EMG between non-vibration and vibration trials. The results indicated that vibration produced much more muscle contraction than that of non-vibration trial for all selected muscles even though the significant difference was found only from Biceps Femoris. This phenomenon was due to the individual differences so care must be taken to evaluate vibration intensity and position before personal training.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.8
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• pp.1937-1942
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• 2010

In this paper, RFID technology was applied to fitness center and order to exercise the right of each user without the guidance of a personal trainer should be made systematically. for example, excercise sequence, equipment usage, excercise and golas etc. Also, Customers who use the fitness center using RFID is trainer at a low-cost under the guidance of the same effect can be expected. In this paper, Our system will record the movements of time, as well as our system can be analyze of excercise using micro processor and acceleration sensor.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.237-240
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• 2015

Individual's body is different depending on the body type or growing environment. In particular, recent changes in the way the movement toward a healthy 100-year-old range. But the purpose of the exercise, each person, gender, age, physical condition and how this movement should be applied according to analysis, to be studied. In this paper, we share information through this exercide method by online, and provide personalized workout, and an algorithm for research analysis. This study will be the cornerstone of research by combining biotechnology and IT to contribute to the health of the people 100 years old.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.8
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• pp.253-258
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• 2015

From the point of view of u-healthcare, heart rate is so useful for both illness for taking care of patients and wellness for improving the level of health and wellbeing. It is because heart rate is a significant clinical variable for all kinds of diseases as well as an indicator of the intensity of exercise. Recently, a number of various wearable heart rate monitors have been released to check people's status in the body by monitoring their heart rates. In addition, a number of smartphone applications have been released to conveniently monitor the status of exercise by using heart rate monitors. However, all of these applications are limited to a personal usage. In this paper, we will design a system to simultaneously monitor heart rates coming from multiple users in a real-time, and develop an Android application to apply the system. The application mainly features a simultaneous monitoring of heart rates coming from multiple users, allowing to be effectively applied to fitness centers.

• Smart Media Journal
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• v.6 no.3
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• pp.83-88
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• 2017

The data analysis system using Big-data is worthy to be used in various fields such as politics, traffic, natural disaster, shopping, customer management, medical care, and weather information. Particularly, the analysis of the momentum of an individual using an acceleration signal collected from a wearable device has already been widely used. However, since the data used in such a system stores only the data necessary for measuring the individual activity, it does not provide various analysis results other than the exercise amount of the individual. In this paper, I propose a system that analyzes collective behavior pattern and activity based on the acceleration signal that can be collected from personal smartphones for 24 hours a day and stored in big data. I also propose a system that sends acceleration signals and receives analysis results using standard messaging to use on various smart devices.