• 제목/요약/키워드: Learning rehabilitation

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UNITY 3D 기법을 활용한 영어학습 보조도구 개발 (Development of an English Learning Tool as an Assistive Device with UNITY 3D techniques)

  • 한경임;박혜정;이근민;최봉근;나대영
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2015년도 제52차 하계학술대회논문집 23권2호
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    • pp.230-231
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    • 2015
  • 본 연구는 영어학습 보조도구로서 3D기법을 활용한 애플리케이션을 개발하는데 그 목적이 있다. 본 연구에서 사용한 애플리케이션은 2D 방식에 기반을 둔 언어학습 보조도구 대신에 휴대가 편리한 스마트폰에 UNITY 3D기법을 적용해서 각 언어음을 발화하는데 조음기관들이 어떻게 서로 상호작용하는지 시각적으로 보여준다. 또한 UNIT을 방향전환하면서 학습자의 음 발성 정확도를 높이는 동시에 학습자 수준에 맞추어 장소에 구애받지 않고 자기 주도적으로 학습의 흥미를 지속적으로 유발시키고자 하는데 그 목적이 있다.

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가상현실 기반 인지재활 콘텐츠를 위한 영상 인식 및 군집화 (Image Recognition and Clustering for Virtual Reality based on Cognitive Rehabilitation Contents)

  • 최권택
    • 디지털콘텐츠학회 논문지
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    • 제18권7호
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    • pp.1249-1257
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    • 2017
  • 4차 산업혁명과 초고령 시대로 인해, 가상현실을 의료 분야에 적용하려는 많은 연구가 진행되고 있다. 특히 치매에 대한 논의가 활발히 이루어지고 있다. 본 논문은 치매로 인해 발생하는 인지 및 신체 장애를 개선하기 위해 영상 인식 및 군집화 방법을 사용한 가상현실 인지재활 콘텐츠를 제안한다. 기존 인지재활 시스템과는 달리 본 논문에서는 치료 대상자의 추억이 반영되어 있는 여행사진을 사용한다. 자동화된 인지재활 콘텐츠 생성을 위해 사진으로부터 인물정보, 음식사진 여부, 장소 정보, 시간 정보를 추출하고, 군집화를 위해 정규화가 수행된다. 그리고 가상현실 공간에서 여행 사진을 활용해 인지재활 및 신체재활을 강화할 수 있는 시나리오를 제시한다.

비디오 영상에서 2차원 자세 추정과 LSTM 기반의 행동 패턴 예측 알고리즘 (Behavior Pattern Prediction Algorithm Based on 2D Pose Estimation and LSTM from Videos)

  • 최지호;황규태;이상준
    • 대한임베디드공학회논문지
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    • 제17권4호
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    • pp.191-197
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    • 2022
  • This study proposes an image-based Pose Intention Network (PIN) algorithm for rehabilitation via patients' intentions. The purpose of the PIN algorithm is for enabling an active rehabilitation exercise, which is implemented by estimating the patient's motion and classifying the intention. Existing rehabilitation involves the inconvenience of attaching a sensor directly to the patient's skin. In addition, the rehabilitation device moves the patient, which is a passive rehabilitation method. Our algorithm consists of two steps. First, we estimate the user's joint position through the OpenPose algorithm, which is efficient in estimating 2D human pose in an image. Second, an intention classifier is constructed for classifying the motions into three categories, and a sequence of images including joint information is used as input. The intention network also learns correlations between joints and changes in joints over a short period of time, which can be easily used to determine the intention of the motion. To implement the proposed algorithm and conduct real-world experiments, we collected our own dataset, which is composed of videos of three classes. The network is trained using short segment clips of the video. Experimental results demonstrate that the proposed algorithm is effective for classifying intentions based on a short video clip.

정신분열병환자를 위한 웹기반 약물 및 증상 자가 관리 교육 프로그램 효과* (Effectiveness of a Web-based Learning Program for Medication and Symptom Management Education of the Schizophrenia Patient)

  • 손경희
    • 한국간호교육학회지
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    • 제15권2호
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    • pp.285-292
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    • 2009
  • Purpose: This study was to examine the effect of a web-based education program for schizophrenic patients in order to identify symptoms, facilitate medication and prevent recurrence. Method: The design of this study was a quasi experimental research with nonequivalent control group, pretest-posttest design. The subjects of this study were inpatients in the psychiatric day hospitals in Busan; 14 schizophrenic patients for the web-based education group (Exp.I); 14 schizophrenic patients for the web-based education with face -to- face education (Exp.II); and 16 schizophrenic patients for the face -to- face education as control group (Con. G). The data were collected from November 5th 2007 to January 28th 2008 and were analyzed with $\chi^2$-test, ANOVA, ANCOVA and Bonferroni test in SPSS Win 11.0. Results: After receiving education, each with different methods, the Exp.I group attained the highest learning achievement in the knowledge of medication and symptom management. In addition, the Exp.I group and Exp.II group attained the lower scores in the relapse warning symptoms than the control group. There were significant differences among the three groups. Conclusions: A web-based learning program for medication and symptom management education is an effective rehabilitation program that reduces the relapse rate of schizophrenic patients.

정지신호과제의 수행이 동작의 실행과 정지기능에 미치는 영향 (The Effect of Performance of a Stop Signal Task on the Execution and Stop Function of Movement)

  • 권중원;남석현;김중선
    • The Journal of Korean Physical Therapy
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    • 제23권1호
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    • pp.37-43
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    • 2011
  • Purpose: We studied the changes in motor response time and stop signal response time following visuomotor skill learning of a stop signal task in young healthy subjects. This study also was designed to determine what an effective practice is for different stop signals in the stop signal task (SST). Methods: Forty-five right-handed normal volunteers without a history of neurological dysfunction were recruited. They all gave written informed consent. In all subjects, motor reaction time (RT) and stop signal reaction time (SSRT) were measured for the stop signal task. Tasks were classified into three categories: predictable-stop signal task (P-SST) practice group random-stop signal task (R-SST) practice group control group. Results: Motor reaction time in the P-SST was significantly reduced when comparing pre- and post-tests (p<0.05). Stop signal reaction times in the P-SST and the R-SST were significantly reduced following motor skill learning (p<0.05). Also, the reaction time of the R-SST was shorter than that of the P-SST. Conclusion: These findings indicate that practice of an SST improves motor performance and stop function for some stop signals in the SST. P-SST practice was effective in the stop function of regular movement because of faster of the motor prediction and preparation but the R-SST was effective in the stop function of movements because of faster motor selection.

재활 의료 보조를 위한 딥러닝 기반 무인 의료 시스템의 설계 및 성능평가 (Design and performance evaluation of deep learning-based unmanned medical systems for rehabilitation medical assistance)

  • 최동규;장종욱
    • 한국정보통신학회논문지
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    • 제25권12호
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    • pp.1949-1955
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    • 2021
  • 최근 코로나 상황을 겪으면서 국가들은 의료인력과 그 기술에 대한 필요성을 심각하게 느끼고 있다. 고령화되고 있는 사회에 따라 실제로 의료진의 수는 줄고 있으며, 이러한 문제점을 해결하기 위해서 실제 의사가 하는 의료 행위 중고도의 전문성을 요구하지 않는 부분을 대체 할 수 있는 연구가 필요하다. 본 논문에서는 존재하는 다양한 딥러닝 영상처리 기반 기술을 활용하여 의료진이 직접 환자를 대면해야 하는 재활 분야에 적용할 수 있는 회복 상태를 확인하는 업무에 관한 무인 의료 시스템과 관련한 실제 연구 방법들을 서술하고 제안한다. 제안하는 방법은 실제 동작 비교에 사용했던 방법인 각도계나 사진에 선을 긋는 방법과 같은 수동적인 계산을 대체한다. 실시간으로 수행하므로 빠른 진단에 도움을 주며, 동작 수행 일치도에 대한 데이터를 확인할 수 있기에 의료진이 필요한 정보를 쉽게 제공한다.

Narrative and Grammatical Analyses of Story-retelling in Chinese Speakers of Korean as a Second Language

  • 백은아;손은남;강수균;박선희;이현혜;최경희
    • 대한음성학회지:말소리
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    • 제56호
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    • pp.127-134
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    • 2005
  • Although the narrative development and the acquisition of the Korean grammatical morphemes by monolingual Korean-speaking children have been studied extensively, little is known about the narrative characteristics and the processes through which native speakers of other languages (L2 speakers) use the Korean grammatical morphemes. To understand the similarities and differences between L1 and L2 narrative skills and Korean grammatical morpheme use, 13 native Chinese-speaking college students who are learning Korean as a second language were studied. L2 participants used significantly fewer words, subordinate clauses, connective morphological endings, and pronouns per T-unit. Their speech also illustrated significantly more omission and confusion (substitution) errors in the use of auxiliary words and verb endings. Some of the syntactic and morphological factors need to be considered for the intervention of speakers with limited Korean proficiency.

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The Study of social factors toward Academic Satisfaction in E-Learning Education

  • Kim, Kyung-Woo
    • 한국컴퓨터정보학회논문지
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    • 제21권11호
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    • pp.135-139
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    • 2016
  • This paper investigates the empirical implications. The research question of this study is to verify the influences of psychological and environmental factors toward performance satisfaction and durability of learning in E-Learning University. For empirical verification, a survey was conducted targeting 500 students in E-learning Universities. The results show that actional environment on academic satisfaction in learning is the most important factor followed by physical environment, internal motivation, and academic burnout. The effect of psychological factors on learning persistence was important in the order of academic vision, internal motivation, actional environment and physical environment. The effect of academic satisfaction on learning durability proved to be statistically significant. The results suggest that actional environment should be considered with top priority to increase the academic satisfaction. learning satisfaction, academic vision, and academic satisfaction to enhance students' intention to continue studies are important. Academic burnout has a negative effect on both academic satisfaction and learning persistence, suggesting that this aspect should be properly addresses. The effects of student background variables in E-learning were explored.

시열반응과제의 운동학습이 대뇌피질 활성화의 변화에 미치는 영향 (Changes of Cortical Activation Pattern Induced by Motor Learning with Serial Reaction Time Task)

  • 권용현;장종성;김중선
    • The Journal of Korean Physical Therapy
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    • 제21권1호
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    • pp.65-71
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    • 2009
  • Purpose: Numerous investigators demonstrated that adaptative changes were induced by motor skill acquisition in the central nervous system. We investigated the changes of neuroelectric potential following motor learning with serial reaction time task in young healthy subjects, using electroencephalography (EEG). Methods: Twelve right-handed normal volunteers were recruited, who have no history of neurological dysfunction and were given to written the informed consent. All subjects were assigned to flex to extend the wrist joint or flex the thumb for pressing the matched button as quickly and accurately as possible, when one of five colored lights was displayed on computer screen (red, yellow, green, blue, white). EEG was measured, whenfive types simulations ware presented randomly with equal probabilities of 20% in total 200 times at the pre and post test. And they were scheduled for 30 minutes practice session during two consecutive days in the laboratory. Results: The results showed that the reaction time at the post test was significantly reduced, compared to one of the pre test in serial reaction time task. In EEG map analysis, the broaden bilateral activation tended to be changed to the focused contralateral activation in the frontoparietal area. Conclusion: These findings showed that acquisition of motor skill led to product more fast motor execution, and that motor learning could change cortical activation pattern, from the broaden bilateral activation to the focused contralateral activation. Thus we concluded that the adaptative change was induced by motor learning in healthy subjects.

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Problems of Distance Learning in Specialists Training in Modern Terms of The Informative Society During COVID-19

  • Kuchai, Oleksandr;Yakovenko, Serhii;Zorochkina, Tetiana;Оkolnycha, Tetiana;Demchenko, Iryna;Kuchaі, Tetiana
    • International Journal of Computer Science & Network Security
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    • 제21권12호
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    • pp.143-148
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    • 2021
  • The article considers the training of specialists in education in the conditions of distance learning. It is lights up the advantages of distance learning and determined the characteristic features of distance learning of students training in the implementation of these technologies in the educational process. The article focuses on the main aspects of computerization of studies as a technological breach in methodology, organization and practical realization of educational process and informative culture of a teacher. Information technologies are intensive involved in life of humanity, educational process of schools and higher educational establishments. Intercommunication is examined between the processes of informatization of the society and education.