• Journal of Wellbeing Management and Applied Psychology
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• v.5 no.4
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• pp.1-9
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• 2022

Purpose: Many people recognize the fact that women are basically poor at financial and retirement planning. A small number of scholars have explored the factors and situations that influence the level of awareness of pre-retirement women and men with regards to planning for their retirement years. In most developing countries, including Malaysia, there are more men in the younger segment of the population and more women in the older segment, since women tend to live longer than men due to having jobs of relatively lower risk, their behaviors, and activities. Research design, data and methodology: Given that it is hard to predict whether they will be healthy in old age, women may require additional resources to obtain the care and assistance that they need. The transition from career life into retirement is a long process for people to go through. Some may be able to prepare for the next stage of life, and some may not be able to prepare due to personal reasons. Planning for future retirement is important because it will affect the quality of a woman's life after a certain age. Results: Without proper planning, women may face financial instability, depression, and poor psychological well-being. However, many women are unaware of their financial status or do not know their family's financial status, such as tracking the main income, budget, and expenses, financial commitments and have no proper record of assets owned, loans owed, or updated loan balances. Conclusions: The findings of this research have led to the conclusion that pre-retiree women are likely to regard their retirement savings as sufficient without realizing that they should have at least several types of savings instead of just one, and the grave consequences of not having any savings at all for their retirement years.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.474-477
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• 2021

Recently, in order to prevent the proliferation of COVID-19, which began in earnest in 2020, an increasing number of places have been measuring the temperature and required to wear a mask. However, as wearing a mask and checking the temperature are typically measured directly by a person or by a single individual positioned in front of the machine, standards may vary based on the person's manual measurement method, wasting workforce. While standing in front of a device often measures the maximum temperature of the face, the standard of fever is also unclear. Both approaches can create bottleneck situations when checking large numbers of people. Furthermore, it is unable to conduct periodic measurements and tracking because the measuring machines are generally put only at the entrance. Thus, this study suggests a method for preventing the spread of infectious diseases by automatically identifying and displaying unmasked people and those with fever in real-time using a general camera, a thermal imaging camera, and an artificial intelligence algorithm.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.106-123
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• 2024

This article takes the talk show "Beast Town" as an example to introduce the overall technical solution, technical difficulties and countermeasures for the combination of cartoon virtual characters and virtual studio technology, providing reference and experience for the multi-scenario application of digital humans. Compared with the live broadcast that combines reality and reality, we have further upgraded our virtual production technology and digital human-driven technology, adopted industry-leading real-time virtual production technology and monocular camera driving technology, and launched a virtual cartoon character talk show - "Beast Town" to achieve real Perfectly combined with virtuality, it further enhances program immersion and audio-visual experience, and expands infinite boundaries for virtual manufacturing. In the talk show, motion capture shooting technology is used for final picture synthesis. The virtual scene needs to present dynamic effects, and at the same time realize the driving of the digital human and the movement with the push, pull and pan of the overall picture. This puts forward very high requirements for multi-party data synchronization, real-time driving of digital people, and synthetic picture rendering. We focus on issues such as virtual and real data docking and monocular camera motion capture effects. We combine camera outward tracking, multi-scene picture perspective, multi-machine rendering and other solutions to effectively solve picture linkage and rendering quality problems in a deeply immersive space environment. , presenting users with visual effects of linkage between digital people and live guests.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.406-410
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• 2009

As studies on more realistic human-robot interface are being actively carried out, people's interests about telepresence which remotely controls robot and obtains environmental information through video display are increasing. In order to provide natural telepresence services by moving a remote robot, it is required to recognize user's behaviors. The recognition of user movements used in previous telepresence system was difficult and costly to be implemented, limited in its applications to human-robot interaction. In this paper, using the Nintendo's Wii controller getting a lot of attention in these days and infrared LEDs, we propose an immersive user interface that easily recognizes user's position and gaze direction and provides remote video information through HMD.

• The Journal of the Korea institute of electronic communication sciences
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• v.5 no.4
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• pp.399-405
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• 2010

In this paper, the movement faces the problem of the difficult points upon the gaze of the user that corrective action is needed to solve the identification system offers a new perspective. Using the Kalman filter using the position information of the current head position estimated the future. In order to determine the authenticity of the face features of the face structural element information and the processing time is relatively fast horizontal and vertical histogram analysis method to detect the elements of the face. and people grow and infrared bright pupil effect obtained by constructing a real-time pupil detection, tracking and pupil - geulrinteu vectors are extracted.

• Journal of Korea Multimedia Society
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• v.17 no.6
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• pp.741-750
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• 2014

This paper presents a real-time motion restoration system for people who need remedial exercise of musculoskeletal based on Inverse Kinematics. A new approach is suggested to recognize a gesture based on restored human motion which is calculated the 3D positions of intermediate joints using 3D positions of body features estimated from images. For generating the 3D candidate positions of intermediate joints which cannot be extracted from images, we apply an Inverse Kinematics theory to compute the target position of intermediate joints. And we can reduce the number of candidate positions by applying the various physical constraints of body. Finally, we can generate the more accurate final position using the Kalman filter for a motion tracking and the relationship between the previous frame information and the candidate positions. The system provide motion information which are rotation angle and height in real-time, therefore the rehabilitation exercises can be performed based on the information and figured out proper exercise for individual status.

• Journal of Korea Multimedia Society
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• v.19 no.12
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• pp.1943-1950
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• 2016

Recently, gender classification has attracted a great deal of attention in the field of video surveillance system. It can be useful in many applications such as detecting crimes for women and business intelligence. In this paper, we proposed a method which can detect pedestrians from CCTV video and classify the gender of the detected objects. So far, many algorithms have been proposed to classify people according the their gender. This paper presents a gender classification using convolutional neural network. The detection phase is performed by AdaBoost algorithm based on Haar-like features and LBP features. Classifier and detector is trained with data-sets generated form CCTV images. The experimental results of the proposed method is male matching rate of 89.9% and the results shows 90.7% of female videos. As results of simulations, it is shown that the proposed gender classification is better than conventional classification algorithm.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.217-226
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• 2010

Reading a photograph is a process of perceiving the image in it. We are able to approach the intention of the photographer only from the sensory material of the image. To make sure how we see the image when we look at a photo, this paper did an experiment with Robert Doisneau's photo, 'Un Regard Oblique'. The hypothesis was set upon the idea of Mary Ann Doane, a pioneer in Gender study. Eye-tracker, Tobii was used to measure the movements and the fixation lengths of the pupils of 44 subjects. From the results of the experiment, it was verified that people look at photographic image in a certain way. At the same time, the gazing strength was differential on every subjects and subject groups.

• Journal of Sasang Constitutional Medicine
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• v.30 no.1
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• pp.66-73
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• 2018

Objectives The purpose of this study was to develop mobile a application that evaluate the Mibyeong(deterioration of the health) in daily life and provide optimal Yangseng(養生) interventions according to the Korean medicine types. Methods The evaluation of Mibyeong utilized questionnaire or objective informations including Facial photographs and hemodynamic information. The Korean medicine type classification was reconstructed based on the concept of Sasang constitution and cold-heat pattern identification. Yangseng interventions were recommended based on Mibyeong symptoms, Korean medicine types, and demographic information. And we have developed tracking and ranking functions for user motivations. We used a Korean medicine database that focused on healthy people as a reference data, and used Yangseng interventions database that reinterpreted classical Yangseng in a modern way. Results and Conclusions We have developed a mobile application that evaluates the user's Mibyeong state and provides optimal Yangseng interventions based on Korean medicine types. This study are expected to improve the quality of health and contribute to the prevention of diseases.

• International Journal of Advanced Culture Technology
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• v.8 no.3
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• pp.54-60
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• 2020

Online cybercrime has various causes. The criminal guilty language, Criminal lingo is active in the shaded area with the bilateral aspect of the word on cyber. It has been continuously producing massive risk factors in cyberspace. Criminals are shared and disseminated online. It has been linked with fake news and aids to suicide that has recently become an issue. Thus the criminal lingo has become a real danger factor on cyber interface. Recently, Criminal lingo is shared and distributed as cyber hazard information. It is transformed that damaging to the youth and ordinary people through the internet and social networks. In order to take action, it is necessary to construct an expert system based on AI to implement a smart management architecture with block-chain technology. In this paper, we study technically a new smart management architecture which uses artificial intelligence based decision algorithm and block-chain tracking technology to prevent the spread of criminal lingo factors in the evolving cyber world. In addition, through the off-line regular patrol program of police units, we proposed the conversion of online regular patrol program for "cyber harem area".