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      • KCI등재

        비디오 영상에서 2차원 자세 추정과 LSTM 기반의 행동 패턴 예측 알고리즘

        최지호,황규태,이상준 대한임베디드공학회 2022 대한임베디드공학회논문지 Vol.17 No.4

        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. 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.

      • KCI등재

        Effect of Sleep Deprivation on the Male Reproductive System in Rats

        최지호,이승훈,배재현,심지성,박홍석,김영식,신철 대한의학회 2016 Journal of Korean medical science Vol.31 No.10

        There has been no study reporting on the influence of sleep deprivation on the male reproductive system including sperm quality. In this study, we hypothesized that sleep deprivation could lead to adverse effect on the male reproductive system. The rats were divided into three groups: 1) control (home-cage, n=10); 2) SD4 (sleep deprivation for 4 days, n=10); and 3) SD7 (sleep deprivation for 7 days, n=10). Sleep deprivation was performed by a modified multiple platform method. Sperm quality (sperm motion parameters and counts), hormone levels (corticosterone and testosterone), and the histopathology of testis were evaluated and compared between the three groups. A statistically significant reduction (P=0.018) was observed in sperm motility in the SD7 group compared to those of the control group. However, there were no significant differences in other sperm motion parameters, or in sperm counts of the testis and cauda epididymis between three groups. Compared with the control group, the SD4 (P=0.033) and SD7 (P=0.002) groups exhibited significant increases of corticosterone levels, but significant decreases of testosterone levels were found in the SD4 (P=0.001) and SD7 (P<0.001) groups. Seminiferous tubular atrophy and/or spermatid retention was partially observed in the SD4 and SD7 groups, compared with the normal histopathology of the control group. Sleep deprivation may have an adverse effect on the male reproductive system in rats.

      • KCI등재

        온라인 중고거래 동기요인이 참여행동에 미치는 영향

        최지호 한국상품학회 2022 商品學硏究 Vol.40 No.6

        The purpose of this paper is to demonstrate the motivating factors that affect users' buying and selling behavior in online consumer to consumer second-hand goods transaction apps. This study divided consumer behavior using online used market apps into purchasing behavior and sales behavior. The second-hand goods transaction market has a characteristic in which a transaction behavior by a consumer to sell to another consumer and a transaction behavior to buy from another consumer exist simultaneously. Existing studies on used goods transactions did not show the difference in the effect on participation as a seller and participation as a buyer in C2C transactions as they did not approach users' buying behavior and selling behavior separately. Motivation to participate in online used goods transaction (reasonable, playful, customized, eco-friendly participation motivation) was extracted, and the influence of these factors on the sales and purchase behaviors of the participants was demonstrated. A total of 175 questionnaires collected through an online questionnaire targeting consumers who used consumer to consumer second-hand goods transaction apps were used for the analysis of the research model. As a result of the analysis, there were some differences in the degree of influence that the motivation to use online second-hand transactions had on sales and purchase behavior depending on the factors. Reasonable participation motive and playful participation motive were found to have a significant influence on participants' sales behavior, and customized participation motive showed a partially significant effect, while eco-friendly participation motive was not significant. The most influential factor on the purchase behavior of the participants was the customized participation motive, and the rational and playful motives had significant influence, and the eco-friendly participation motive had no significant influence. Based on the analysis results, implications for online used goods transactions between consumers and future research directions were presented. 이 연구는 온라인 중고거래 앱을 이용하는 소비자 행동을 구매행동과 판매행동으로 구분하였다. 중고품 거래 시장은 소비자가 다른 소비자에게 판매하는 거래와 다른 소비자로부터 구매하는 행동이 동시에 존재하는 특성을 갖고 있다. 중고품 거래에 관한 기존 연구에서는 이용자의 구매행동과 판매행동을 구분하여 접근하지 않음에 따라 C2C 거래에서 판매자로서의 참여와 구매자로서의 참여에 미치는 영향의 차이를 보여주지 못했다. 온라인 중고거래에 참여하는 동기를 경험적 측면에서 정성적 연구를 통해 제시한 참여 동기와 온라인 중고거래 앱 사용에 관한 연구에서 제시한 요인을 토대로 온라인 중고품 거래 참여 동기(합리적 참여, 유희적 참여, 맞춤형 참여, 친환경적 참여)를 추출하여, 이들 요인이 참여자의 판매행동과 구매행동에 미치는 영향을 실증하였다. 중고거래 경험자를 대상으로 온라인 설문을 통해 수집된 175개의 설문지가 연구모형 분석에 이용되었다. 분석 결과 온라인 중고거래 이용 동기가 판매행동과 구매행동에 미치는 영향을 요인에 따라 미치는 영향력의 정도에 있어서 다소 차이가 존재하였지만, 통계적으로 유의미성은 큰 차이가 존재하지 않다. 참여자의 판매행동에 유의하게 영향을 미치는 요인은 합리적 참여 동기와 유희적 참여 동기로 나타났으며, 맞춤형 참여 동기는 부분적으로 유의한 영향을 보여주었고 친환경적 참여 동기는 유의하지 않았다. 참여자의 구매행동에 가장 영향력이 큰 요인은 맞춤형 참여 동기로 나타났으며, 합리적 참여 동기와 유희적 참여 동기는 유의한 영향력을 그리고 친환경적 참여 동기는 유의한 영향력이 없는 것으로 나타났다. 분석결과를 토대로 소비자 간 온라인 중고품 거래에 관한 시사점과 향후 연구방향을 제시하였다.

      • KCI등재후보

        Optimal Continuous Positive Airway Pressure Level in Korean Patients with Obstructive Sleep Apnea Syndrome

        최지호,김은중,김강우,최준,권순영,이흥만,김태훈,이상학,신철,이승훈 대한이비인후과학회 2010 Clinical and Experimental Otorhinolaryngology Vol.3 No.4

        Objectives. The aim of this study was to investigate optimal continuous positive airway pressure (CPAP) level, to examine the factors affecting optimal CPAP level, and to develop a predictive equation for optimal CPAP level in Korean patients with obstructive sleep apnea syndrome (OSAS). Methods. A total of 202 patients with OSAS who underwent successful manual titration for CPAP treatment were included in this study. Correlations between the optimal CPAP level and baseline data including anthropometric and polysomnographic variables were analyzed. A predictive equation for optimal CPAP level was developed based on anthropometric and polysomonographic data. Results. The mean optimal CPAP level in 202 patients with OSAS was 7.8±2.3 cm H2O. The mean optimal CPAP level in the mild, moderate, and severe OSAS groups was 6.0±1.3, 7.4±1.9, and 9.1±2.1 cm H2O, respectively. The apneahypopnea index (AHI) (r=0.595, P<0.001), arousal index (r=0.542, P<0.001), minimal SaO2 (r=-0.502, P<0.001),body mass index (BMI) (r=0.494, P<0.001), neck circumference (r=0.265, P<0.001), and age (r=-0.164, P=0.019)were significantly correlated with optimal CPAP level. The best predictive equation according to stepwise multiple linear regression analysis was: Optimal CPAP level (cm H2O)=0.681+(0.205×BMI)+(0.040×AHI). Forty-two percent of the variance in the optimal CPAP level was explained by this equation (R2=0.42, P<0.001). Conclusion. A predictive equation for optimal CPAP level in Korean patients with OSAS was developed using AHI and BMI, which can be easily measured during the diagnostic process.

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