• Title, Summary, Keyword: Behavior Recognition

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Behavior recognition system based fog cloud computing

  • Lee, Seok-Woo;Lee, Jong-Yong;Jung, Kye-Dong
    • International journal of advanced smart convergence
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    • v.6 no.3
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    • pp.29-37
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    • 2017
  • The current behavior recognition system don't match data formats between sensor data measured by user's sensor module or device. Therefore, it is necessary to support data processing, sharing and collaboration services between users and behavior recognition system in order to process sensor data of a large capacity, which is another formats. It is also necessary for real time interaction with users and behavior recognition system. To solve this problem, we propose fog cloud based behavior recognition system for human body sensor data processing. Fog cloud based behavior recognition system solve data standard formats in DbaaS (Database as a System) cloud by servicing fog cloud to solve heterogeneity of sensor data measured in user's sensor module or device. In addition, by placing fog cloud between users and cloud, proximity between users and servers is increased, allowing for real time interaction. Based on this, we propose behavior recognition system for user's behavior recognition and service to observers in collaborative environment. Based on the proposed system, it solves the problem of servers overload due to large sensor data and the inability of real time interaction due to non-proximity between users and servers. This shows the process of delivering behavior recognition services that are consistent and capable of real time interaction.

The Influence of the Type of Single Females' Life Style in Their 20s through 30s on the Recognition of the Behavior for Beauty (20-30대 미혼여성의 라이프스타일 유형이 뷰티행동인식에 미치는 영향)

  • Hong, Soo-Nam
    • Journal of the Korea Fashion and Costume Design Association
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    • v.16 no.1
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    • pp.77-89
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    • 2014
  • This study looked into the effect of the life style of single females in 20s and 30s on beauty behavior recognition, and spss 17.0 is used for data analysis method. As for the statistical analysis method in order to validate the measurement tools, reliability verification is conducted and life style groups are sampled using K-means taking into account factor scores by life style. To find out the difference between general beauty behavior recognition and life style, descriptive statistics and One Way ANOVA were carried out, and Duncan Test was implemented for the post examination method. Multiple regression analysis was also carried out to figure out the effect of life style on beauty behavior recognition. The result is as follows. First, according to the results of reliability verification and factor analysis for the lifestyle type and the recognition of the behavior for beauty, the types of the life style of the subjects were divided into Economic Utility, Convention Conservatism, Self Development, Showy Consumption, and Appearance Oriented, and the recognition of the behavior for beauty was named as Makeup and Hair, Cosmetic Surgery, Body Care, and Skin Care. Second, as to the recognition of the behavior for beauty based upon the lifestyle, the Appearance Oriented in Showy Consumption recorded the highest. Third, the analysis of the influence of the style on the recognition of the behavior for beauty showed that the behavior recognition for Makeup and Hair and for Skin Care was affected by the life style of Self Development, Showy Consumption, and Appearance Oriented; the behavior recognition for Cosmetic Surgery was affected by the life style of Conventional Conservatism, Showy Consumption, and Appearance Oriented; and again the behavior recognition for Body Care was by that of Economical Utility and Showy Consumption.

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The Influence of Wife's Home Management Behavior Pattern and Husband's Perception about It on Family Life Satisfaction (주부의 가정관리 행동유형과 남편의 인지가 가정생활만족에 미치는 영향)

  • 김경숙
    • Journal of the Korean Home Economics Association
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    • v.36 no.1
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    • pp.99-116
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    • 1998
  • The purposes of this study were to find the influence of wife's home management behavior pattern and husband's perception about it on family life satisfaction, and to find out variables which influence them. For theses reviewing literature and empirical research were conducted. The major results were as follows; 1) The couple's psychological variables (ie, degree of life level recognition, of resourcefulness recognition and of communication) were relatively high. The wife's home management behavior pattern was relatively morphogenesis and the husband's perception about wive's it was relatively morphogenesis. And the couple's degree of family life satisfaction were relatively high. 2) Influential variables on wife's home management behavior pattern were level of education, degree of resourcefulness recognition and of communication. And influential variables on husband's perception about vive's it was degree of communication. 3) Influential variables on wive's the degree of family life satisfaction were degree of life level recognition, of resourcefulness recognition and of communication. And influential variables on husband's it were level of education, job, degree of life level recognition, of resourcefulness recognition and of communication. 4) The wife's home management behavior pattern and husband's perception about wive's it were to predict the couple's degree of family life satisfaction. 5) In cause-effect pathway mode. level of education·job·degree of life level recognition·of resourcefulness recognition and of communication showed direct and indirect effect on family life satisfaction through wife's home management behavior pattern or husband's perception about wive's it.

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Abnormal Behavior Recognition Based on Spatio-temporal Context

  • Yang, Yuanfeng;Li, Lin;Liu, Zhaobin;Liu, Gang
    • Journal of Information Processing Systems
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    • v.16 no.3
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    • pp.612-628
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    • 2020
  • This paper presents a new approach for detecting abnormal behaviors in complex surveillance scenes where anomalies are subtle and difficult to distinguish due to the intricate correlations among multiple objects' behaviors. Specifically, a cascaded probabilistic topic model was put forward for learning the spatial context of local behavior and the temporal context of global behavior in two different stages. In the first stage of topic modeling, unlike the existing approaches using either optical flows or complete trajectories, spatio-temporal correlations between the trajectory fragments in video clips were modeled by the latent Dirichlet allocation (LDA) topic model based on Markov random fields to obtain the spatial context of local behavior in each video clip. The local behavior topic categories were then obtained by exploiting the spectral clustering algorithm. Based on the construction of a dictionary through the process of local behavior topic clustering, the second phase of the LDA topic model learns the correlations of global behaviors and temporal context. In particular, an abnormal behavior recognition method was developed based on the learned spatio-temporal context of behaviors. The specific identification method adopts a top-down strategy and consists of two stages: anomaly recognition of video clip and anomalous behavior recognition within each video clip. Evaluation was performed using the validity of spatio-temporal context learning for local behavior topics and abnormal behavior recognition. Furthermore, the performance of the proposed approach in abnormal behavior recognition improved effectively and significantly in complex surveillance scenes.

Human Activity Recognition Based on 3D Residual Dense Network

  • Park, Jin-Ho;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.23 no.12
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    • pp.1540-1551
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    • 2020
  • Aiming at the problem that the existing human behavior recognition algorithm cannot fully utilize the multi-level spatio-temporal information of the network, a human behavior recognition algorithm based on a dense three-dimensional residual network is proposed. First, the proposed algorithm uses a dense block of three-dimensional residuals as the basic module of the network. The module extracts the hierarchical features of human behavior through densely connected convolutional layers; Secondly, the local feature aggregation adaptive method is used to learn the local dense features of human behavior; Then, the residual connection module is applied to promote the flow of feature information and reduced the difficulty of training; Finally, the multi-layer local feature extraction of the network is realized by cascading multiple three-dimensional residual dense blocks, and use the global feature aggregation adaptive method to learn the features of all network layers to realize human behavior recognition. A large number of experimental results on benchmark datasets KTH show that the recognition rate (top-l accuracy) of the proposed algorithm reaches 93.52%. Compared with the three-dimensional convolutional neural network (C3D) algorithm, it has improved by 3.93 percentage points. The proposed algorithm framework has good robustness and transfer learning ability, and can effectively handle a variety of video behavior recognition tasks.

The Mediating Effect of Dementia Recognition on the Number of Chronic Diseases and Dementia Prevention Behaviors of Elders in Rural Communities (농촌 지역사회노인의 만성질병수와 치매예방행위에 미치는 치매인식의 매개효과)

  • Park, Pilnam
    • Journal of Korean Academy of Rural Health Nursing
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    • v.15 no.2
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    • pp.41-48
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    • 2020
  • Purpose: This study was a descriptive study to identify the factors affecting the dementia prevention behavior of elders in rural communities. Methods: The participants in this study were 125 elders aged 60 or older who lived in Eup or Myeon areas of P city. For data analysis, SPSS/WIN 22.0 was used to perform descriptive statistics, t-test, ANOVA, Pearson correlation, and linear multiple regression and mediated effects. Results: Scores for dementia recognition, dementia attitude and dementia prevention behavior averaged 5.6±2.50 points in the 0~11 range, 38.8±4.59 in 14~56 and 20.2±3.59 in 10~30 respectively. Dementia recognition (a), dementia attitude (b), dementia prevention behavior (c) and the number of chronic diseases of the elders (d) were positively or negatively correlated with each other (rab=.29, p<.01; rbc=.26, p<.01; rac=.36, p<.01; rad=-.29, p<.01; rcd=.19, p<.05). Factors affecting dementia prevention behavior were dementia recognition, dementia attitude, and degree of dementia interest. When the number of chronic diseases affects dementia prevention behavior, dementia recognition has a mediating effect. Conclusion: In order to prevent dementia among elders in rural areas, appropriate management of chronic diseases and provision of appropriate dementia-related education and information to enhance dementia recognition should be provided.

Relationships between teacher's recognition of professionalism, child's gender, term care and child's social interaction behavior (교사의 전문성 인식, 유아의 성별 및 보육기간과 유아의 사회적 상호작용 행동)

  • Yun, Juyoen;Shin, Hyewon
    • Korean Journal of Human Ecology
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    • v.22 no.5
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    • pp.407-417
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    • 2013
  • The purpose of this study was to investigate and analyze how teachers' recognition of professionalism and the child's gender and term care affect child's social interaction behavior. Participants were three-year-old 61 children and their 20 teachers. Each child was observed by the time sampling method of 20 sec-observation followed by 10 sec-recording for a total of 14 minutes. The teachers completed the rating scales to measure the teachers' recognition of professionalism. The study results show that, children engaged more frequently in individual behavior than in interactions with peers or with teachers in day care centers. And those children had more interaction behavior with their teachers than with their peers. Correlation between teachers' recognition of professionalism and children's social interaction behavior were as following: the more the teachers recognized professionalism, the more the children showed positive interaction behavior toward their teachers. Also, the more the teachers recognized the professionalism related to the job satisfaction, the more the children showed positive interaction behavior toward their peers. Boys interacted more negatively with peers and teachers than girls did. Children who attended the day care center more than two years showed less individual behaviors than others.

Driver Assistance System By the Image Based Behavior Pattern Recognition (영상기반 행동패턴 인식에 의한 운전자 보조시스템)

  • Kim, Sangwon;Kim, Jungkyu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.12
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    • pp.123-129
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    • 2014
  • In accordance with the development of various convergence devices, cameras are being used in many types of the systems such as security system, driver assistance device and so on, and a lot of people are exposed to these system. Therefore the system should be able to recognize the human behavior and support some useful functions with the information that is obtained from detected human behavior. In this paper we use a machine learning approach based on 2D image and propose the human behavior pattern recognition methods. The proposed methods can provide valuable information to support some useful function to user based on the recognized human behavior. First proposed one is "phone call behavior" recognition. If a camera of the black box, which is focused on driver in a car, recognize phone call pose, it can give a warning to driver for safe driving. The second one is "looking ahead" recognition for driving safety where we propose the decision rule and method to decide whether the driver is looking ahead or not. This paper also shows usefulness of proposed recognition methods with some experiment results in real time.

Correlations Among Threshold and Assessment for Salty Taste and High-salt Dietary Behavior by Age (연령별 짠맛 역치, 짠맛 미각판정치와 짜게 먹는 식행동과의 상관성 분석)

  • Jiang, Lin;Jung, Yun-Young;Lee, Yeon-Kyung
    • Korean Journal of Community Nutrition
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    • v.21 no.1
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    • pp.75-83
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    • 2016
  • Objectives: The purpose of this study was to analyze correlation thresholds and assessment for salty taste and high-salt dietary behaviors by age. Methods: A total of 524 subjects including 100 each of elementary school students, middle school students, college students, and elderly as well as 124 adults were surveyed for detection and recognition thresholds, salty taste assessments, and high-salt dietary behaviors. Results: Elementary students had a lower detection threshold (p<0.05) and recognition threshold (p<0.01) than did the other groups. Salty taste assessments were lowest among elementary students, followed by middle school students, while college students, adults, and elderly had higher assessment score (p<0.001). Elementary students had significantly lower scores for high-salt dietary behavior than did middle school students, college students, adults and elderly (p<0.001). Middle school students had higher scores for high-salt dietary behavior than did elementary school students and elderly (p<0.001) but no meaningful difference was found in dietary behavior scores between college students, adults, and elderly. There were positive correlations between high-salt dietary behavior and detection thresholds (p<0.001), recognition thresholds (p<0.001), and salty taste assessment (p<0.001). High-salt dietary behavior was more positively correlated with salty taste assessment than detection and recognition thresholds for salty taste. Conclusions: This study suggested that salty taste assessments were positively associated with scores for the detection and recognition thresholds and high-salt dietary behavior.

Proactive Personality, Knowledge Sharing Behavior, Job Characteristics, and Organizational Recognition: An Application of Costly Signaling Theory (주도적 성격과 지식 공유행위, 직무 특성, 그리고 조직의 인정 간 관계에 관한 연구: 비싼 신호보내기 이론을 중심으로)

  • Park, Jisung;Chae, Heesun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.128-137
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    • 2018
  • Drawing on costly signaling theory and self-enhancement motive, this study examines the relationships among proactive personality, knowledge sharing behavior, and organizational recognition. In addition to the individual characteristic, this study considers job characteristics as conditional factors, and especially proposes the moderated mediation model in which job complexity and variety moderate the relationships among proactive personality, knowledge sharing behavior, and organizational recognition. To prove these hypotheses, empirical analyses are conducted with 166 dyad samples collected from various industries. As predicted, individuals with high proactive personality are more likely to become involved in knowledge sharing behavior, and this behavior increases organizational recognition rated by their supervisors. Moreover, job complexity and variety moderate the positive relationship between proactive personality and organizational recognition is mediated by knowledge sharing behavior. These results reveal the motive in knowledge sharing and the boundary condition that is necessary to increase such behavior. The study findings will ultimately contribute theoretical and empirical implications to the knowledge management literature.