• Journal of Veterinary Clinics
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• v.18 no.4
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• pp.414-417
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• 2001

A 2-year-old, spayed female dog with the chief concern of repeated aggression to strange person at owner’s dock and house was presented to the Animal Behavior Clinic at the College of Veterinary Medicine at Cornell University. Based on the questionnaire and interview about dog, territorial aggression was diagnosed. Behavior modification protocols (protocol for deference; protocol for relaxation; ignore unwanted behaviors; reward relaxed behaviors; using Promise collar; avoid all situations that elicit aggression) were recommended. After 6 months from the first consulting, aggressive behaviors of the dog were alleviated.

• Journal of the Institute of Convergence Signal Processing
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• v.21 no.1
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• pp.29-37
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• 2020

This paper implements a method of extracting an object about a dog through real-time image analysis and classifying dog behaviors from the extracted images. The Darknet YOLO was used to detect dog objects, and the Teachable Machine provided by Google was used to classify behavior patterns from the extracted images. The trained Teachable Machine is saved in Google Drive and can be used by ml5.js implemented on a node.js server. By implementing an interactive web server using a socket.io module on the node.js server, the classified results are transmitted to the user's smart phone or PC in real time so that it can be checked anytime, anywhere.

• Journal of the Institute of Convergence Signal Processing
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• v.16 no.1
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• pp.15-21
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• 2015

In this paper, a behavior notification system of the harness of a guide dog is implemented for a blind person to get helps for environmental and situational awareness while walking with the guide dog. IMU modules is attached on the guide dog's harness saddle and the acceleration sensor belt is mounted on its thigh. Gait estimation and behavior judgement are performed by recording and analyzing the outputs of the sensors. Performance analysis for seven different kinds of behaviors has been done. The seven different behaviors, which the guide dog recognizes, are descending stairs, climbing stairs, uphill, downhill, stop, flat road, and selective disobedience. Results for the performance analysis show that the average success rate of the behavior rule estimation of harness of the guide dog is 92.78% and the behavior notification system can be effectively used in real situations.

• Journal of Environmental Science International
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• v.31 no.2
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• pp.131-139
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• 2022

This study aimed to evaluate the effects of four types of environmental enrichment on the improvement of companion dogs' behavioral problems due to separation anxiety. A total of 21 dogs of various breeds were included in the study. Data were collected to investigate the behaviors associated with anxiety in dogs, including vocalization, elimination, escape attempts, and destructiveness. A first stage, in which the dog and owner were together (P0), lasted 15 min, and a second stage, in which the dog and owner were separated (P1), lasted 15 min. After the dog and owner were separated (P1), the third stage (P2), during which the environment was enriched, lasted 20 min, and the fourth stage, following environment enrichment (P3), lasted 15 min. The results of the study indicated that compared to P0, the frequency of problematic behavior was highest during the 15 min following separation from the owner (P1). Following environmental enrichment, the average frequency of problematic behaviors in P2 decreased (P < 0.001) compared to P1. Environmental enrichment can also be used appropriately in the case of companion dogs, including shelter dogs or experimental dogs that use a limited kennel, and is a particularly effective means of improving the quality of life of dogs.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.248-252
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• 2022

The environment refers to what is surrounded by something during human life. This environment is related to the way humans live, and presents various problems on how to perceive the surrounding environment and how the behaviors that constitute the environment support the elements necessary for human life. Humans have an interest in the supportability of the environment as the interrelationship increases as humans perceive and understand the environment and accept the factors supported by the environment. In space, human movement starts from one space to the next and exchanges stimuli and reactions with the environment until reaching a target point. These human movements start with subjective judgment and during gait movement, the spatial environment surrounding humans becomes a collection of information necessary for humans and gives stimulation. will do. In this process, in particular, humans move along the movement path through movement in space and go through displacement perception and psychological changes, and recognize a series of spatial continuity. An image of thinking is formed[1]. In this process, spatial experience is perceived through the process of filtering by the senses in the real space, and the result of cognition is added through the process of subjective change accompanied by memory and knowledge, resulting in human movement. As such, the spatial search behavior begins with a series of perceptual and cognitive behaviors that arise in the process of human beings trying to read meaning from objects in the environment. Here, cognition includes the psychological process of sorting out and judging what the information is in the process of reading the meaning of the external environment, conditions, and material composition, and perception is the process of accepting information as the first step. It can be said to be the cognitive ability to read the meaning of the environment given to humans. Therefore, if we can grasp the perception of space while moving and human behavior as a response to perception, it will be possible to predict how to grasp it from a human point of view in a space that does not exist. Modern people have the theme of reminiscing dog-friendly hotels for the healing of petloss syndrome, and this thesis attempts to approach the life of companions.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.419-422
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• 2019

The recent increase in single-person households and family income has led to an increase in the number of pet owners. However, due to the owners' difficulty to communicate with them for 24 hours, pets, and especially dogs, tend to display unwanted behavior that can be harmful to themselves and their environment when left alone. Therefore, detecting those behaviors when the owner is absent is necessary to suppress them and prevent any damage. In this paper, we propose a camera-based system that detects a set of normal and unwanted behaviors using deep learning algorithms to monitor dogs when left alone at home. The frames collected from the camera are arranged into sequences of RGB frames and their corresponding optical flow sequences, and then features are extracted from each data flow using pre-trained VGG-16 models. The extracted features from each sequence are concatenated and input to a bi-directional LSTM network that classifies the dog action into one of the targeted classes. The experimental results show that our method achieves a good performance exceeding 0.9 in precision, recall and f-1 score.

• Journal of Veterinary Clinics
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• v.26 no.3
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• pp.238-245
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• 2009

This study was performed to develop ethogram of the Jindo dog's temperament categories under various conditions. A set of 12 behavioral tests were developed to investigate temperament categories expressed by the dogs. Fourty-three adult Jindo dogs(24 males, 19 females) from three different farms located in Jindo island were tested in 12 different behavioral tests. All test procedures and dog's behaviors responded to the tests were recorded using two digital video cameras and one digital still camera. A single observer reviewed all of the videotapes focused on dog's vocalization, movement, head, ears, eyes, mouth, and tail-positions. After all of the behavioral variables expressed throughout the testing period were described in detail, an ethogram of four temperament categories of 'sociability', 'aggression', 'fearfulness', and 'submission' revealed by 12 behavioral tests was developed.

• Korean Journal of Veterinary Research
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• v.62 no.3
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• pp.21.1-21.10
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• 2022

With the increasing population of companion dogs, the social cost derived from their behavioral problems is increasing. Therefore, it is important to understand the environment to provide experience for dogs via interactions with their owners to prevent and solve these problems. The parenting behavior of dog owners as an environmental factor has a profound impact on the behavior development of dogs, as does the parenting behavior on children. Therefore, this study aimed to develop a scale to assess the dog owner's parenting behavior. Exploratory factor analysis involving 300 participants resulted in a scale with four subscales, Positive Education, Involvement of Socialization, Intimacy, and Stable Responses, and 19 items. Confirmatory factor analysis was then performed to verify its reliability and validity. The result of parenting behaviors assessed by this scale was significantly different between a group with dogs with problematic behavior (n = 141) and those without (n = 159). Overall, a dog owner's parenting behavior involves affection and control aspects, but the role required specifically in the control aspect is distinguished from the parenting behavior with children. The findings in the present study will provide dog owners with effective education that will help prevent dogs from developing behavioral problems.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.967-970
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• 2020

In a previous work we have done, we presented a monitoring system to automatically detect some dogs' behaviors from videos. However, the input video data used by that system was pre-trimmed to ensure it contained a dog only. In a real-life situation, the monitoring system would continuously receive video data, including frames that are empty and ones that contain people. In this paper, we propose a YOLOv4-based system for automatic object detection and trimming of dog videos. Sequences of frames trimmed from the video data received from the camera are analyzed to detect dogs and people frame by frame using a YOLOv4 model, and then records of the occurrences of dogs and people are generated. The records of each sequence are then analyzed through a rule-based decision tree to classify the sequence, forward it if it contains a dog only or ignore it otherwise. The results of the experiments on long untrimmed videos show that our proposed method manages an excellent detection performance reaching 0.97 in average of precision, recall and f-1 score at a detection rate of approximately 30 fps, guaranteeing with that real-time processing.

• Journal of the Korean Home Economics Association
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• v.33 no.1
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• pp.125-140
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• 1995

The purpose of this study was to answer the following questions. (1) Is there any relationship between father's child-rearing behavior and children's role-taking, between father's child-rearing behaviors and children's prosocial behavior?(2) Is there any relationship between children's role-taking and children's prosocial behavior? (3) Is there any differences in father's child-rearing behaviors, children's role-taking and children's prosocial behavior in relation to children's sex, SES, and mother's job? (4) what are the most important predictor variables which influence on children's role-taking? (5) What are the most important predictor variables which influence on children's prosocial behavior? The subjects of this study were 72boys and 70girls attending the nursery schools and their mothers in Busan. For the measurement of father's child-rearing behaviors, Choi's(1991) questionnare were used and for children's role-taking, children were interviewed with the Flavell's apple-dog stories. children's prosocial behavior was measured by amount of candies to share with classmates. The results were as follows: (1) There were significant correlation between father's child-rearing behaviors and children's role-taking, between father's was positively related to children's prosocial behavior. (2) Children's role-taking was positively related to children's prosocial behavior. (3) There were significant differences in father's child-rearing behaviors, children's role-taking and children's prosocial behavior according to children's sex, SES, and mother's job. (4) Father's child-rearing behaviors and SES were the most important predictor variables influencing on children's role-taking. (5) Children's sex, children's role-taking and father's childrearing behaviors were the most important predictor variables influencing on children's prosocial behavior. The findings stated above seemed father's child-rearing behaviors and children's role-taking, influenced on children's prosocial behavior.