• International journal of advanced smart convergence
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• v.7 no.2
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• pp.55-66
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• 2018

Osteoarthritis is one of the most common chronic degenerative disease and prevalent among women in rural area. A variety of self-management programs for arthritis patients have been developed and administered, however the effectiveness and adherence to the program including arthritis exercise are found to be low. The purpose of this study is to design intervention Arthritis Self-Management Program with Tai Chi (ASMP-TC) through identifying and analyzing attributes influencing adherence exercise behavior in Korean older adult women with arthritis in rural area. For this, the existing and relevant evidence on arthritis self-management including exercise intervention were investigated, and then this study describes well-designed arthritis self-management program to provide the credibility and validity necessary for its interventions. In addition, this study try to propose a self-management program model of Tai Chi exercise for rural older adults to improve adherence based on the primary health care facility, which is vulnerable area in Korea.

• Journal of Animal Environmental Science
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• v.20 no.2
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• pp.57-62
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• 2014

It is very important, if necessary, to remotely monitor and control the body conditions and behavior of livestock as well as the environment of stall using ubiquitous ict, in order to improve the health and productivity of livestock. With the aim of developing a stall management system, this study investigated users' needs, analyzed them to design systems, developed a web-system and an app for stall management, then applied them to a test-bed. The use of the app developed will make it easy for livestock farmers to easily monitor and control environment of stall using their smartphones and allow them to take care of stall more efficiently.

• Journal of the Korea Society of Computer and Information
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• v.22 no.10
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• pp.41-45
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• 2017

Virtual Reality (VR) is widely used in various fields, and it is expanding game and movie toward health care, business Software, education, and web services. Especially various researches are actively conducted in the field of exhibition, utilizing smart phone based detachable HMD (Head Mounted Display). The VR exhibition solves addresses both temporal and spacial constraints overcoming the unilateral information transfer exhibitions. This paper presents a method to overcome the limitation of time, space, and unidirectional information transfer in offline exhibition, and also presents a new method that utilizes multimedia visual design artwork as VR contents.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.627-628
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• 2013

Recently, many people interested in health care moreover, smart devices have been used widly areas. Hence there are many application for smartphone. In this paper, we will introduce some of applications which related with healthcare. We will introduce our application that caluate calory to consume using motion recognition using various smartphone sensors.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.663-664
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• 2006

This paper presents a reconfigurable digital signal processing(rDSP) architecture that is effective for implementing adaptive digital signal processing in the applications of smart health care system. This rDSP architecture employs an evolution capability of FIR filters using genetic algorithm. Parallel genetic algorithm based rDSP architecture evolves FIR filters to explore optimal configuration of filter combination, associated parameters, and structure of feature space adaptively to noisy environments for an adaptive signal processing. The proposed DSP architecture is implemented using Xilinx Virtex4 FPGA device and SMIC 0.18um CMOS Technology.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.565-566
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• 2010

최근 들어 스마트폰이 출시되면서 점차 스마트폰이 대중화되고, 삶의 질 향상과 고령사회로의 진입으로 건강 및 운동 관리에 대한 관심이 고조 되고 있다. 현대인들은 삶의 질을 높이기 위해 자신의 건강관리를 일상생활에서 확인해야한다. 본 논문에서는 맥박측정기를 이용하여 사용자의 건강정보를 실시간으로 측정하고, 측정된 값을 스마트폰을 이용하여 사용자의 건강을 관리하게 되며, 전문 의료기관의 힘을 빌리지 않고 사용자 스스로 자신의 건강상태를 알고 관리 할 수 있는 시스템을 설계 및 구현하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1001-1003
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• 2012

스마트폰을 접할 수 있는 다양한 연령대와 계층이 있지만, 사회적으로 소수에 해당하는 장애인과 노약자 등에 대한 서비스를 제공하는 애플리케이션(application)은 많지 않은 것이 현실이다. 본 논문에서는 그 중에서 장애인을 대상으로 하는 애플리케이션을 설계 하였으며, 스마트폰을 이용하여 제공하는 방법에 대해서 설명하였다.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.159-166
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• 2019

Recently, the advanced development of smart devices has increased the interest in health-care, and many people are paying more attentions to disease prevention than disease treatment. Among these prevention methods, the bare body movement has received much attention, and especially walking exercise is attracting much attention because it is enjoyable without any restrictions on place and time. Walking exercise is generally divided into two types: walking on the ground and climbing the stairs. Walking up the stairs consumes much more calories compared to walking on the ground. These walking exercises have the advantage that they can be easily performed by male and female without special equipments or economic considerations. However, there is a lack of applications and systems that accurately determine such walking and stair walking and measure momentum according to stair walking. In this paper, we designed and implemented a real-time walking status analysis system using smartwatch's, pedometer, smartphone's barometer and beacons.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.620-621
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• 2013

본 논문에서는 스마트기기의 영상, 음성, 이미지 등의 다양한 멀티미디어 데이터 수집 기능을 활용하여 응급상황 발생 시 현장상황의 정확한 정보를 유관기관에 제공함으로써 효율적인 응급상황 대처가 가능하고, 신고자 인증 모듈을 활용하여 허위신고 문제를 개선한 응급상황 대처를 위한 스마트 세이프티 시스템을 설계하였다.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.127-133
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• 2022

This study aims to find out the associative relationship between dementia and comorbidities. To conduct this study, we used KNHDIS(Korea National Hospital Discharge In-depth Injury Survey) data from 2009 to 2018 provided by the KDCA(Korean Disease Control and Prevention Agency) annually. We used MySQL for data preprocessing and R for data analysis. As a result of applying the Apriori algorithm criteria of support(≥0.01), confidence(≥ 0.6), and lift(>1), seventeen rules related to dementia were discovered. The diseases associated with dementia were diabetes mellitus, hypertension, disorders of lipoprotein metabolism, glomerular disorders in diabetes mellitus, renal diseases, cardiovascular disease, cerebrovascular disease, and other urinary system disorders. This study can be utilized as primary data for the care of patients with dementia and provides implications for improving effective dementia prevention policies.