• Fashion & Textile Research Journal
• /
• v.18 no.6
• /
• pp.858-868
• /
• 2016

This study aims to examine the formative characteristics of seniors' fashion in overseas social media, and look into the psychological characteristics of seniors by analyzing the emotions and the characteristics of psychological mechanism in seniors' fashion. The study methods include statistical analysis and content analysis for literary study and data analysis. For data analysis, statistical and content analyses were conducted to analyze 992 data collected from Advanced style, Facebook, and Instagram for 4 years from 2013 to 2016. In formative features shown at overseas social media, circle and square silhouette, achromatic color and warm color, showy tone color, soft material, horizontal details, plain and natural patterns, cap and sunglasses production, and sophisticated elegance styles appeared high. The emotional characteristics in senior's fashion had a silhouette that expressed stability, color that expressed passion, love, happiness, joy, hope and comfort. Materials were expressed by the emotions of dependence and attachment, details were expressed by stable, maternal, calm, comfortable and harmonious emotions. Patterns were expressed by the images of beauty, love, fruit and psychological stability. Accessories were expressed by young and characterful images. Style expressed the emotions of trust, pride, longing, intoxication and ecstasy. The characteristics of psychological mechanism used such shapes and patterns as flower, heart and lips to symbolize the emotions of love, humor, and fun. Young and trendy fashion were expressed in compensation for aging. Kitsch and kidult style was expressed by regression. Elegance fashion was expressed by the sublimation of pride, trust and intoxication.

• KIPS Transactions on Software and Data Engineering
• /
• v.9 no.10
• /
• pp.309-316
• /
• 2020

We predict the mortality of the elderly patients visiting the emergency department who are over 65 years old using Feed Forward Neural Network (FFNN) and Convolutional Neural Network (CNN) respectively. Medical data consist of 99 features including basic information such as sex, age, temperature, and heart rate as well as past history, various blood tests and culture tests, and etc. Among these, we used random forest to select features by measuring the importance of features in the prediction of mortality. As a result, using the top 80 features with high importance is best in the mortality prediction. The performance of the FFNN and CNN is compared by using the selected features for training each neural network. To train CNN with images, we convert medical data to fixed size images. We acquire better results with CNN than with FFNN. With CNN for mortality prediction, F1 score and the AUC for test data are 56.9 and 92.1 respectively.

• Korean Institute of Interior Design Journal
• /
• no.31
• /
• pp.3-11
• /
• 2002

Shopping malls in Seoul become important urban public space where teens and youths as well as the elderly come easily and enjoy thorned environment. This study examines design motifs, structures and effects of theme design of three shopping malls-Lotte World, Coex Mall, and Central City-in Seoul, Korea. The study quotes Lynch`s five image elements-paths, nodes, landmarks, districts, and edges in the shopping malls in order to analyze internal structure of the shopping malls and theme design elements. The theme design of the shopping malls was often used the images of "city parks", "future city", "foreign tourist places", "carnival and festival", and "old towns" to evoke nostalgia of the past and fantasy of the future. The study finds that theme design was emphasized at the area of corridors-path, plazas-nodes and special districts such as movie theater and food courts. The study concludes that theme design in the three shopping malls should consider local(Korean) motifs in design properly and consider educative effects of the design on teens and youths. Thus, theme design of the shopping malls should meet multi-functional roles of the spaces aesthetically and socially, The data and analysis of this study can contribute to improve theme design of shopping malls in Seoul, Korea.ve theme design of shopping malls in Seoul, Korea.

• Transactions on Control, Automation and Systems Engineering
• /
• v.3 no.4
• /
• pp.229-235
• /
• 2001

Recently, service area has been emerging field f robotic applications. Even though assistant robots play an important role for the disabled and the elderly, they still suffer from operating the robots using conventional interface devices such as joysticks or keyboards. In this paper we propose an efficient computer interface using real-time eye-gaze tracking system. The inputs to the proposed system are images taken by a camera and data from a magnetic sensor. The measured data is sufficient to describe the eye and head movement because the camera and the receiver of a magnetic sensor are stationary with respect to the head. So the proposed system can obtain the eye-gaze direction in spite of head movement as long as the distance between the system and the transmitter of a magnetic position sensor is within 2m. Experimental results show the validity of the proposed system in practical aspect and also verify the feasibility of the system as a new computer interface for the disabled.

• Journal of the Semiconductor & Display Technology
• /
• v.20 no.3
• /
• pp.1-5
• /
• 2021

Sleep apnea refers to a condition in which a person does not breathe during sleep, and is a dangerous symptom that blocks oxygen supply in the body, causing various complications, and the elderly and infants can die if severe. In this paper, we present an algorithm that classifies sleep breathing by analyzing the intensity of breathing with images alone in preparation for the risk of sleep apnea. Only the chest of the person being measured is set to the Region of Interest (ROI) to determine the breathing strength by the differential image within the corresponding ROI area. The adult was selected as the target of the measurement and the breathing strength was measured accurately, and the difference in breathing intensity was also distinguished using depth information. Two videos of sleeping babies also show that even microscopic breathing motions smaller than adults can be detected, which is also expected to help prevent infant death syndrome (SIDS).

• Journal of The Korean Digital Architecture Interior Association
• /
• v.11 no.1
• /
• pp.73-81
• /
• 2011

The purpose of this research is to analyze the emotional characteristics of community space with recently constructed apartment complexes. The designated subjects of this research are located in Dongtan the first New Town, with 500 to 1000 households and constructed as single buildings for community space are 14 apartment. The results are as follows: 1)The space for day care planned for children's emotional comfort and stability measured by symbolizing image of nature. Also, allowing children to recognize their own space by decorating the walls with the works of themselves and their friends was shown to break down extraneous feelings against other spaces, and allow intimacy for spaces. 2)The space for the aged was shown to give a secure and friendly feeling by considering the psychological and physical traits of the elderly. It can replenish the depressed bodies of aged people with vigor and stimulate their emotion. 3)The space for indoor exercise utilized various visual facilities, such as graphics and images, to bring out specific areas and create affiliation in stimulating the emotion of residents.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
• /
• v.16 no.2
• /
• pp.135-139
• /
• 2005

Summary: This study evaluated the relationship between voice complaint and deviant vocal fold status with special regard to presbylarynx, in patients aged more than 60 years with pharyngeal-laryngeal complaint. The material consisted of clinical histories and images obtained by laryngoscopies of 75 patients aged more than 60 years, who had sought otorhinolaryngologic treatment. Indicative glottic characteristics of the presbylarynx, such as vocal fold bowing(VFB), prominence of vocal processes (PVP), and membranous spindle shaped glottic chink(MSC) and the presence or absence of voice complaint were analyzed Also, acoustic parameters such as fundamental frequency(Fo), jitter percent and shimmer percent were analyzed. VFB showed a strong correlation with voice complaint in male. Jitter and shimmer were correlated with VFB, PVP, MSC in female.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.8
• /
• pp.2787-2800
• /
• 2022

The aging society increases emergency situations of the elderly living alone and a variety of social crimes. In order to prevent them, techniques to detect emergency situations through voice are actively researched. This study proposes CutPaste-based anomaly detection model using multi-scale feature extraction in time series streaming data. In the proposed method, an audio file is converted into a spectrogram. In this way, it is possible to use an algorithm for image data, such as CNN. After that, mutli-scale feature extraction is applied. Three images drawn from Adaptive Pooling layer that has different-sized kernels are merged. In consideration of various types of anomaly, including point anomaly, contextual anomaly, and collective anomaly, the limitations of a conventional anomaly model are improved. Finally, CutPaste-based anomaly detection is conducted. Since the model is trained through self-supervised learning, it is possible to detect a diversity of emergency situations as anomaly without labeling. Therefore, the proposed model overcomes the limitations of a conventional model that classifies only labelled emergency situations. Also, the proposed model is evaluated to have better performance than a conventional anomaly detection model.

• Journal of the Korean Fracture Society
• /
• v.30 no.4
• /
• pp.186-191
• /
• 2017

Purpose: The purpose of this study was to investigate the radiological and epidemiological characteristics, as well as the clinical course of pelvic insufficiency fractures in the elderly population. Materials and Methods: At a Haeundae Paik Hospital, we retrospectively reviewed patients with pelvic insufficiency fractures between March 2010 and May 2017. The demographic data of patients were analyzed, and bone mineral density and bone turnover markers were evaluated to estimate the metabolic status of the bone. The radiological characteristics were evaluated by comparing the simple x-ray images with the computed tomography images, and the types of fractures were classified via computed tomography images. For clinical course evaluation, we investigated comorbid complications, and compared the walking ability scale before and 6 months after the fracture. Results: A total of 42 patients were included, with an average age of 76.5 years. All were female except one case. In 5 cases where the initial medical examination was from another institution, the fracture was not found in 3 cases. All cases received conservative treatment. After the diagnosis of pelvic bone fracture using a simple x-ray imaging, additional fractures were found in 81.0% of the study population using a computed tomography. Initiation of gait occurred at an average of 2.8 weeks, and every case except 1 (97.6%) fully recovered their gait ability. Conclusion: We concluded that there was a limitation with diagnosing pelvic insufficiency fracture using only a simple x-ray imaging technique. In general, cases in this study showed conservative treatment yielded favorable clinical outcome with relatively less critical complications.

• Journal of Internet Computing and Services
• /
• v.21 no.3
• /
• pp.133-144
• /
• 2020

The number of elderly people with dementia is increasing as fast as the proportion of older people due to aging, which creates a social and economic burden. In particular, dementia care costs, including indirect costs such as increased care costs due to lost caregiver hours and caregivers, have grown exponentially over the years. In order to reduce these costs, it is urgent to introduce a management system to care for dementia patients. Therefore, this study proposes a sensor-based abnormal behavior detection system to manage dementia patients who live alone or in an environment where they cannot always take care of dementia patients. Existing studies were merely evaluating behavior or evaluating normal behavior, and there were studies that perceived behavior by processing images, not data from sensors. In this study, we recognized the limitation of real data collection and used both the auto-encoder, the unsupervised learning model, and the LSTM, the supervised learning model. Autoencoder, an unsupervised learning model, trained normal behavioral data to learn patterns for normal behavior, and LSTM further refined classification by learning behaviors that could be perceived by sensors. The test results show that each model has about 96% and 98% accuracy and is designed to pass the LSTM model when the autoencoder outlier has more than 3%. The system is expected to effectively manage the elderly and dementia patients who live alone and reduce the cost of caring.