• Proceedings of the Korean Society of Computer Information Conference
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• 2016.07a
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• pp.129-130
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• 2016

본 연구는 재미있고 건강한 삶을 추구하는 현대인들이 누구나 즐길 수 있고 재활운동까지 가능하도록 간단한 소도구 운동기구와 결합된 이용자 맞춤형 리듬게임 콘텐츠를 설계한 것이다. 본 시스템은 센서가 부착된 소도구 운동기구와의 인터랙티브를 통해 사용자의 건강상태를 점검할 수 있는 사용자 분석용 콘텐츠와 사용자 건강 상태별로 운동 목표 설정, 종류, 난이도 등의 선별 기능으로 운동 효과를 극대화 할 수 있게 설계되었다. 또한 콘텐츠에 따른 음악, 동작 등의 다양화, 플레이 결과에 따른 점수(확장형의 경우 N/W 에 의한 플레이어 상호간 경쟁유도) 등으로 이용자에게 몰입과 재미를 제공하도록 설계하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1031-1033
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• 2017

본 논문에서는 EMG(Electromyogram) 신호 기반의 재활 치료용 VR(Virtual Reality) 플랫폼을 제안한다. EMG 신호는 근육의 움직임을 확인할 수 있는 생체 신호로, EMG 신호를 활용하면 근육에 직접적인 움직임이 없어도 환자의 행동 의도를 확인할 수 있다. 본 논문에서는 EMG 신호를 이용하여 환자의 근육 움직임을 확인하며, 해당 움직임을 나타내는 VR 콘텐츠에 대한 제안과 실제 제작 콘텐츠를 소개한다. 실험 결과는 실제 근육 움직임에 대한 인식률을 확인하였다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.102-103
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• 2021

With the development of medical IT technology, personalized medical services are increasing in the silver industry era through the development of smart healthcare business. Therefore, in this paper, using various sensors in the Arduino environment, we implemented a finger modeling that can perform joint rehabilitation exercise that can provide personalized smart healthcare services. By measuring the activity of each individual finger joint using an Arduino-based flex sensor, it is intended to be used for personalized rehabilitation exercise in the smart healthcare field in the future.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.1065-1066
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• 2023

본 연구에서 개발된 XR 게임은 이중 재활을 지원하는 핵심 도구로서 설계되었으며, 향기 분출 기능 또한 포함하고 있어 향기 치료까지 가능하도록 확장되었다. 이 프로그램은 사용자의 데이터를 세심하게 분석하여, 각 개개인의 진전을 지속적으로 추적할 수 있다. 더불어, 사용자는 과거와 현재의 데이터를 비교하고 분석하여, 지속적인 자기 개선을 위한 방향을 찾을 수 있다.

• The Journal of Korean society of community based occupational therapy
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• v.7 no.3
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• pp.23-34
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• 2017

Objective : The purpose of this study was to investigate establishment status of the mandatory courses designated by Ministry of Health & Welfare for qualification of sensory developmental rehabilitation specialist(SDRS), within curriculum of baccalaureate occupational therapy(BOT) programs in Korea Methods : This is a narrative study to investigate and analyze certain courses established in curriculums of all 4-years occupational therapy(OT) programs, which is 32 schools. Results : 1) The shared mandatory subject, 'Understanding Children with Disabilities(UDC)', has been established at 9 schools. For the branch mandatory subjects, 'Neuroscience(NS) or Neuroanatomy' has been established at all 32 schools, 'Sensory Processing Dysfunctions and Intervention(SPDI)' or 'Sensory Integration' has been established at 31 schools, and each of 'Assessment & Evaluation for Children(AEC)' and 'Practicum of Sensory Rehabilitation(PSR)' has been established 7 schools for same. 2) For the mandatory courses, all 32 schools were offering designated- and alternative courses of NS, SPDI, AEC, but there was no change in the number of schools offering the practicum course since there was no case of alterative for it. 3) In terms of general provision score, there were 4 schools for score 7, 4 schools for score 6, 2 schools for score 5, 1 schools for score 4, 2 schools for score 3, and 19 schools for score 2. Conclusion : Establishment of the mandatory courses required to the qualification of SDRS among the BOT programs in nation were investigated. Including alternative courses, all the branch mandatory courses except practicum course are established in all the 32 schools. However, the shared mandatory subject, UDC and the practicum subject were established in only few schools. In the provision level evaluation of BOT programs for the SDRS qualification, it is shown that many schools has been started the provision already but still many schools' curriculum did not reflect the willingness and accuracy well. For the schools planning successful accreditation in near future, it is recommended that they prioritize the establishment of the shared mandatory course and the practicum course since these two subjects are recognized as critical factors for that. In addition, it is also needed of comparative inspections for course title and syllabi based on the guideline provided by Ministry of Health & Welfare.

• 치위협보
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• s.23
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• pp.1-8
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• 1999

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1949-1955
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• 2021

With the recent COVID-19 situation, countries are seriously feeling the need for medical personnel and their technologies. PDepending on the aging society, the number of medical staff is actually decreasing, and in order to solve this problem, research is needed to replace the part that does not require high expertise among actual medical practices performed by doctors. This paper describes and proposes actual research methods related to unmanned medical systems that use various deep learning image processing-based technologies to check the recovery status applicable to rehabilitation areas where medical staff should face patients directly. The proposed method replaces passive calculations such as a protractor or a method of drawing a line in a photograph, which is the method used for actual motion comparison. Since it is performed in real time, it helps to diagnose quickly, and it is easy for medical staff to provide necessary information because data on the degree of match of motion performance can be checked.

• 재활복지
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• v.21 no.3
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• pp.209-226
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• 2017

The purpose of this study was to investigate the relationships between memory belief, depression and cognitive functioning for stroke patients. A total of 88 subjects were participated in this study and the questionnaire was composed with general characteristics and K-MoCA, Beck Depression Inventory(BDI), Memory Self Efficacy Qestionnaire(MSEQ), Memory Controllability Inventory(MCI). The results showed that, for the memory self efficacy by general characteristics, there were significant differences in terms of level of education, living and economic status, the number of onset of stroke (p<.05), the memory controllability showed significant differences in economic status (p<.05), and the depression showed significant differences in onset duration of stroke (p<.05), and the cognitive functioning showed significant differences in gender, age, education, living condition, and the number of onset of stroke (p<.05). In addition, there was a significant correlation between memory self efficacy and memory controllability, depression, and cognitive functioning (p<.05). Memory controllability was correlated with depression (p<.01), depression was correlated with cognitive functioning (p<.01). Memory self efficacy, memory controllability and depression were found to be factors, affecting the cognitive functioning (p<.05). Based on this results, it is recommended to develop a multifaceted rehabilitation program in order to induce the positive mood, to reduce the negative emotions such as depression and to promote the memory belief about recovery of cognitive functioning.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.11 no.1
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• pp.21-27
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• 2017

To guarantee the effectiveness of the HACCP(Hazard analysis and critical control points) system, it is necessary to develop of an ontology-based information system that can automatically manage the large amount of HACCP records or information derived from the HACCP operation results. In this paper, we construct a food information ontology which represents the relationships between ingredients, recipe, and features of food categories. Moreover, we develop HACCP automation application adopt the ontology to verify the semantic quality of the designed ontology model by performing HACCP processes such as HACCP diet classification. We expect to contribute to develop a food hygiene information and improve the accuracy of the HACCP data through the semantic system.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.6
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• pp.7-17
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• 2009

The precise analysis of exercise data for designing an effective rehabilitation system is very important as a feedback for planing the next exercising step. Many subjective and reliable research outcomes that were obtained by analysis and evaluation for the human motor ability by various methods of biomechanical experiments have been introduced. Most of them include quantitative analysis based on basic statistical methods, which are not practical enough for application to real clinical problems. In this situation, data mining technology can be a promising approach for clinical decision support system by discovering meaningful hidden rules and patterns from large volume of data obtained from the problem domain. In this research, in order to find relational rules between posture training type and muscle activation pattern, we investigated an application of the WAR(Weishted Association Rule) to the biomechanical data obtained mainly for evaluation of postural control ability. The discovered rules can be used as a quantitative prior knowledge for expert's decision making for rehabilitation plan. The discovered rules can be used as a more qualitative and useful priori knowledge for the rehabilitation and clinical expert's decision-making, and as a index for planning an optimal rehabilitation exercise model for a patient.