• Title/Summary/Keyword: Psychological Feature Analysis

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A Deep Learning Algorithm for Fusing Action Recognition and Psychological Characteristics of Wrestlers

  • Yuan Yuan;Yuan Yuan;Jun Liu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.3
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    • pp.754-774
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    • 2023
  • Wrestling is one of the popular events for modern sports. It is difficult to quantitatively describe a wrestling game between athletes. And deep learning can help wrestling training by human recognition techniques. Based on the characteristics of latest wrestling competition rules and human recognition technologies, a set of wrestling competition video analysis and retrieval system is proposed. This system uses a combination of literature method, observation method, interview method and mathematical statistics to conduct statistics, analysis, research and discussion on the application of technology. Combined the system application in targeted movement technology. A deep learning-based facial recognition psychological feature analysis method for the training and competition of classical wrestling after the implementation of the new rules is proposed. The experimental results of this paper showed that the proportion of natural emotions of male and female wrestlers was about 50%, indicating that the wrestler's mentality was relatively stable before the intense physical confrontation, and the test of the system also proved the stability of the system.

A study of creative human judgment through the application of machine learning algorithms and feature selection algorithms

  • Kim, Yong Jun;Park, Jung Min
    • International journal of advanced smart convergence
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    • v.11 no.2
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    • pp.38-43
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    • 2022
  • In this study, there are many difficulties in defining and judging creative people because there is no systematic analysis method using accurate standards or numerical values. Analyze and judge whether In the previous study, A study on the application of rule success cases through machine learning algorithm extraction, a case study was conducted to help verify or confirm the psychological personality test and aptitude test. We proposed a solution to a research problem in psychology using machine learning algorithms, Data Mining's Cross Industry Standard Process for Data Mining, and CRISP-DM, which were used in previous studies. After that, this study proposes a solution that helps to judge creative people by applying the feature selection algorithm. In this study, the accuracy was found by using seven feature selection algorithms, and by selecting the feature group classified by the feature selection algorithms, and the result of deriving the classification result with the highest feature obtained through the support vector machine algorithm was obtained.

Kansei engineering research on deodorizing airflesheners

  • Nagamachi, Mitsuo
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2002.05a
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    • pp.20-23
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    • 2002
  • In Japan, deodorizing airflesheners are very popular to make air flesh by deodorizing odor in rooms, toilet as well as inside a car. There are in different features in deodorizing material of Gel and Liquid, in a shape of bottle from tall to low height, in bottle color and so on. These different features will influence the customer's feeling to the products of deodorizing airfleshener. This paper deals with the psychological evaluation of the features of deodorizing airfleshener on the SD scale with kansei words. The evaluated data were analyzed by Quantification Theory Type I that leads to the relational rules between the product feature and the kansei words. The beautiful and graceful kansei consists of low height, middle width deformed round shape, but easy operational feature is based on tall shape design. These results are helpful to develop a new product of deodorizing airfleshener.

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A Semantic Analysis of One Prodiscourse Maker in Korean:kulay (담화대용표지{그래}의 의미 연구)

  • 신현숙
    • Korean Journal of Cognitive Science
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    • v.2 no.1
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    • pp.143-165
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    • 1990
  • I will discuss some aspects of the meaning of prodiscoure maker 'kulay'in Korea.This marker has been studied few scholars,since Korean lingusts did not have any interest about this category of linguistic form.Also,they did not realized the importance of discourse and discourse markers.So,we have only shallow information about prodiscourse phenomena and prodiscourse markers,too. Morphologically,kulay(그래)'could be analyzed into 'ku(그)'and 'lay(래)'and 'lay(래)'could be divided into'l(ㄹ)'and 'ay(ㅐ)' again.But I will discuss 'kulay'as one linguistic unit without divison. It will be claimed in this paper that both [prodiscoures]feature and [discourse continuity]feature can satisfactorily account for the core meaning of'kulay'.And,it will be mentioned that the marker has many kinds of specfic meaning depends on paricular discourse.Also, I would like to examine the semantic feature([prodiscourse+discourse continuity]) in many kinds of korean discourse.And I will show that some factors re;ated tp the marker's specific meaning are the meaning of preceding and following discourse and the participant's psychological attitude.The conclusion must be that the meaning of 'kulay'can help us understand certain phenomena about prodiscourse and prodiscourse markers in the korean language.Also the various meanings of 'kulay'can give more information to Applied-Korean linguistics.

A Study on Development and Analysis of Accident Influence Factor Verification Tools for the Elderly People in the Welfare Facilities for the Aged (노인주거 복지시설 거주 노인의 안전사고 영향변수 검증도구 개발 및 분석에 관한 연구)

  • You, Jong-Ok;Park, Jae-Seung
    • Korean Institute of Interior Design Journal
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    • v.20 no.3
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    • pp.242-248
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    • 2011
  • According to a study on the accident patterns of older people in 2006 by Korea Consumer Agency (CISS), the number of accidents of the elderly at home reached 486, and the figure has increased every year. As Korea is about to enter into the aged society, it is important to investigate the factors that cause an accident in the welfare facilities for the aged and establish the barrier-free construction standards. The accident influence factors include facility environmental, physical functional, socio demographic and socio psychological factors. In terms of the verification tools, there are Facility Evaluation Index, FIM, MMSE-K and General Feature. In terms of analysis method, in addition, there are real number, percentage, t-test, ANOVA and logistic regression. In conclusion, this paper attempts to reveal correlations among the accident influence factors using the Facility Evaluation Standards (115 items in total) for facility environmental factor, FIM (3 items) for physical functional factor, MMSE-K (6 items) for socio psychological factor and questionnaire (5 items) for socio demographic factor.

A Study on Group-specific External Feature Concerns and Beauty Care Behaviors Depending on Narcissistic Propensity (자기애 성향에 따른 집단별 외모관심도 및 미용행동에 관한 연구)

  • Kim, You-Sung;Park, Ok-Lyun
    • Fashion & Textile Research Journal
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    • v.11 no.5
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    • pp.808-817
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    • 2009
  • The purpose of this study was to verify potential differences in group- specific external feature concerns and beauty care behaviors of Korean women in their 20's~40's depending on their narcissistic propensity. This study is to take psychological approaches to narcissistic propensity of our contemporary society, so that it can get better understanding about consumers and provide marketing data on beauty-related industry. To meet the above goals, total 400 sheets of questionnaire were distributed to subjects from March 30 to April 8, 2009. Out of 376 sheets of questionnaire collected, total 355 valid questionnaires except incomplete 21 ones were used for final data analysis. For data analysis, this study used SPSS 12.0 as statistic program to perform factor analysis, reliability test (Cronbac's ${\alpha}$ coefficient), cluster analysis, t-test, analysis of variance (ANOVA), Duncan's multiple range test and multiple regression analysis. As a result, this study could come to the following findings: First, according to cluster analysis depending upon different factors such as self-directed narcissism, others-conscious narcissism and others-sensitive narcissism, it was found that our women in 20's to 40's could fall into 4 groups, i.e. complex narcissism group, mixed narcissism group, others-sensitive narcissism group and dispirited narcissism group. Second, according to analysis on potential differences in external feature concerns among four groups depending on their narcissistic propensity, it was found that there were significant differences in all relevant factors among groups. Third, according to analysis on differences in beauty care behaviors among four groups depending upon their narcissistic propensity, it was found that there were significant differences in all relevant factors among groups. Fourth, according to analysis on potential factors of external feature concerns that may influence beauty care behaviors of complex narcissism group, it was found that those factors had significant effects on fashion-orientedness, cosmetic surgery and personality pursuit of this group. And it was also found that there were significant differences in fashion-orientedness, cosmetic surgery, makeup and hair styling of mixed narcissism group, others-sensitive narcissism group and dispirited narcissism group respectively.

A Study on Features of Conscious Observation of Space and Search Activities for Information (공간의 의식적 주시와 정보의 탐색활동 특성에 관한 연구)

  • Kim, Jong-Ha
    • Korean Institute of Interior Design Journal
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    • v.23 no.3
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    • pp.117-124
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    • 2014
  • This study has inferred the mechanism of psychological observation activities through comparison analysis of the observation data acquired from eye-tracking and their post-estimation. The results of their analysis can be summarized as the followings. First, even though the frame of analysis has been set up so that there might not be any change to the number of the sections even with any change of consecutive observation times, the fact that the time by area decreases along with the change of consecutive observation from three times to six and nine times means that the time spent on "recognition" of space information reduces in the course that the feature of observing for space information switches from "perception to recognition". Second, the subjects moves their eyes incessantly in order to acquire space information while observing the space, when it was confirmed that there was a difference between "the space which the subjects searched for information by means of observation activities" and "that which they thought they observed that remaining in their consciousness". The appreciation of this kind of difference is very significant for the analysis of observation features. Third, the short observation (0.1 second, three times of consecutive observations) is consistent with "Ares I, intensively searched = that marked as having been observed consciously" by 60%, while the long-time observation (0.3 second, 9 times of consecutive observations) had 56%, which was relatively high, of "Area I, searched intensively ${\neq}$ that marked as having been observed consciously", which means that the observation feature seen at the activities of "consciousness : unconsciousness" and "observation : search" had some change in the course of changing from "perception to recognition".

Analysis of Emotional Responses to Different Graphical Styles of Natural Scenery in Video Games (게임에서의 자연풍경의 그래픽 스타일 차이에 따른 감성 반응 분석)

  • Hansun Hong;Seongsu Kim;Minji Kang;Juyoung Lee
    • Journal of Environmental Science International
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    • v.32 no.12
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    • pp.979-985
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    • 2023
  • After the outbreak of COVID-19, the demand for home-enjoyable video games has surged, driven by extended pandemic conditions and resulting in rapid graphic technology advancements. Consequently, games with diverse expression techniques have emerged, captivating players. Virtual Reality (VR) environments predominantly feature natural landscapes, with advancing graphic technology enabling lifelike scenes. The rise in individuals seeking solace through natural elements in games has followed suit. As VR technology and metaverse interest grow, more people are exposed to digital imagery. However, evidence on the influence of graphic expression methods on emotional response to that is lacking. Our study examined user emotional responses, focusing on natural landscapes in digital graphics of games. Analyzing a group of 47 young adults as frequent digital media consumers, we studied reactions to different image styles (Realism, Semi-Realism, Stylized). In the analysis, Realism-style images were perceived the most positively, while emotional responses to natural landscapes with different graphical expressions showed no significant differences. Results suggest that recognizing digital natural landscapes may outweigh expression style impacting the evaluation of digital nature. This study's empirical analysis enhances the understanding of digital nature's application to actual situations.

Statistical Techniques based Computer-aided Diagnosis (CAD) using Texture Feature Analysis: Applied of Cerebral Infarction in Computed Tomography (CT) Images

  • Lee, Jaeseung;Im, Inchul;Yu, Yunsik;Park, Hyonghu;Kwak, Byungjoon
    • Biomedical Science Letters
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    • v.18 no.4
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    • pp.399-405
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    • 2012
  • The brain is the body's most organized and controlled organ, and it governs various psychological and mental functions. A brain abnormality could greatly affect one's physical and mental abilities, and consequently one's social life. Brain disorders can be broadly categorized into three main afflictions: stroke, brain tumor, and dementia. Among these, stroke is a common disease that occurs owing to a disorder in blood flow, and it is accompanied by a sudden loss of consciousness and motor paralysis. The main types of strokes are infarction and hemorrhage. The exact diagnosis and early treatment of an infarction are very important for the patient's prognosis and for the determination of the treatment direction. In this study, texture features were analyzed in order to develop a prototype auto-diagnostic system for infarction using computer auto-diagnostic software. The analysis results indicate that of the six parameters measured, the average brightness, average contrast, flatness, and uniformity show a high cognition rate whereas the degree of skewness and entropy show a low cognition rate. On the basis of these results, it was suggested that a digital CT image obtained using the computer auto-diagnostic software can be used to provide valuable information for general CT image auto-detection and diagnosis for pre-reading. This system is highly advantageous because it can achieve early diagnosis of the disease and it can be used as supplementary data in image reading. Further, it is expected to enable accurate medical image detection and reduced diagnostic time in final-reading.