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한국감성과학회> 한국감성과학회 국제학술대회(ICES)> Quantification of Riding Performance and Mental Stress Level when Using Advanced Driver Assistance System for Powered Two-Wheelers

Quantification of Riding Performance and Mental Stress Level when Using Advanced Driver Assistance System for Powered Two-Wheelers

Joohyeong Lee , Saya Kishino , Keisuke Suzuki
  • : 한국감성과학회
  • : 한국감성과학회 국제학술대회(ICES) 2019권0호
  • : 프로시딩
  • : 2019년 11월
  • : 9-10(2pages)
한국감성과학회 국제학술대회(ICES)

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In recent years, ICT (Information and Communication Technologies) such as V2I (Vehicleto- Infrastructure), V2V (Vehicle-to-Vehicle) are being actively developed for driving safety systems across the world. In the future, ADAS (Advanced Driver Assistance System) using ICT and various kinds of sensors will be more implemented on PTW (Powered Two-wheeler) and introducing pace also will be accelerated. However, ADAS such as alarm systems can increase the level of mental stress of the four-wheeler drivers and it can be more critical for PTW riders. Therefore, we propose a method of quantifying the riding performance and mental stress level of PTW riders. In this study, we investigated the riders riding behaviors and mental stress using riding simulator (n = 7, mean age = 24.57). The riding performance was quantified as a single indicator, the mental stress level was assumed the normalized EDA signal when riders encountered a risky situation. As a result, the average mental stress level slightly increased when using the system, but there was no significant difference (t (20) = - 1.366, p=0.187). However, the riding performance improved when using the system (t (20) = -5.996, p<0.001).

UCI(KEPA)

I410-ECN-0102-2021-500-000598713

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2021권0호(2021년 11월) 수록논문
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1Appreciation of Visual Arts with Poetry Using Artificial Intelligence

저자 : Chung-heon Lee , Jun-dong Cho

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2021권 0호 발행 연도 : 2021 페이지 : pp. 64-66 (3 pages)

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The objective of this research is to provide a barrierfree artwork appreciation experience for people with visual impairment (PVI) who have limitations because of the lack of cognitive and sensory access to exhibitions, museums, etc. We applied artificial intelligence (AI) to our previous works with visual appreciation solutions recommending poets according to the colors and objects. To extract the color and object elements in the poet, we used a natural language toolkit (NLTK) and in the visual art, we used convolutional neural networks (CNNs) to train the dataset of moon and church images. Unlike the researches of classification on natural images, despite the small size of the dataset and numerous variables in the visual arts such as techniques (oil, watercolor, etc.) and styles (impressionism, modernism, etc.), we attained successful results.

2Analysis and Comparative study on Maternal Mortality for Diabetes prediction using different Machine Learning Algorithms

저자 : G. Keerthi , M. S. Abirami

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2021권 0호 발행 연도 : 2021 페이지 : pp. 67-70 (4 pages)

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Diabetes is a leading reason of death, disability, and economic loss around the world. Type 2 diabetes is the maximum shared kind of diabetes in women (80-90 percent worldwide).It can be avoided or postponed by receiving the appropriate maintenance and interventions, including an initial diagnosis. There has remained a lot of progress in the area of medical diagnosis using many machine learning algorithms. However, due to incomplete medical data sets, accuracy suffers, resulting in a higher frequency of misclassifications, which might lead to dangerous complications. Many researchers find that accurately predicting and diagnosing a disease is a difficult scientific topic. As a result, the goal was to improve the diagnostic. The first technique is to collect the dataset, which comprises of 769 pregnant women's records. On the foundation of accuracy, machine learning approaches are utilized to forecast diabetes and non-diabetes women. We used seven machine learning algorithms to calculate diabetes using the dataset. We discovered that a diabetes prediction model that combines Linear Regression and Support Vector Machine performs well, with an accuracy of 77 percent -78 percent.

3Virtual health monitoring - A robot based approach

저자 : Vigneswari Gowri , Prabhu Sethuramalingam

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2021권 0호 발행 연도 : 2021 페이지 : pp. 71-74 (4 pages)

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Health monitoring and care is been considered as the major field in medical technological advancements. Sensors and wireless communication technologies has been applied with learning techniques to design low-cost, and low power integrated circuits with intelligent systems. This system detects, measures and analyses the health parameters such as Sp02, Heart rate, ECG and Body temperature. This system is capable of analyzing, processing and communicating the sensor data in real-time using Wi-Fi to achieve a seamless data transfer. These systems become an inseparable part of the medical environment both to the patient and the doctor. It enables the information transfer at a faster and accurate manner. Integration of these systems with robots has a major advantage of food and medicine delivery, UV sanitization and haptic video calling. Applied Machine learning algorithms with experimentation such as Min-max algorithm, Feature selection and SVM gives refines the data with most accurate values and predicts the medicine or further treatment to be provided. Along with this, robot integrated with this system serves as an emotional support with the sensor values. This can predict the patient condition on emotional basis and plays songs or movies of their preference and calls their paired friends or relatives which boosts their energy and normalizes the body parameters. The result of the combined algorithms gives 96.2% accuracy which can be improved on further classification of obtained data.

4ANALYSIS OF BCI SYSTEM TO OPERATE ROBOTIC ARM CONTROL FOR NAVIGATION TO ASSIST DISABLE PEPOPLE (A REVIEW)

저자 : D. Senthil Vadivelan , S. Prabhu , M. Uma

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2021권 0호 발행 연도 : 2021 페이지 : pp. 75-77 (3 pages)

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A brain-computer interface (BCI) provides a new means of bridging the gap between humans and computers, now days by allowing computers to be intentionally controlled based on brain signals. The activity of neurons generates electrical impulses, which are recorded by electroencelography (EEG). The acquired EEG signals are used to control the external devices such as a robotic arm, wheelchair, moving cursors, etc., and hence, are very useful to develop personal assistants for the disabled person for interaction and communication to the outside world. This study gives a thorough examination of EEG signal processing in robotic arms control, with a focus on noninvasive brain computer interface systems. For EEG classification, several filtering procedures, feature extraction techniques, machine learning algorithms are explored and summarized.

5Measuring consistency between individuals of affective responses to ASMR stimuli using intersubject correlation

저자 : Inik Kim , Junhyuk Jang , Jongwan Kim

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2021권 0호 발행 연도 : 2021 페이지 : pp. 79-82 (4 pages)

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The intersubject correlation (ISC) has been used to understand the synchrony of brain activities across participants [1-3]. Li, Zhu, Vuoriainen, Ye and Astikainen [4] applied this novel analysis technique to the behavioral data and found a discrepancy of ratings between control and clinical groups. In this study, we implemented the ISC analysis to the ratings data of the ASMR stimulus set. We were able to measure the consistency of responses by computing correlations between all stimulus pairs across subjects. There were significant differences of ISCs between valence and modality conditions. The participants showed higher affect synchrony after watching the positive or audiovisual stimulus. Also, there was interaction between valence and modality. In the negative ASMR condition, there was no difference between auditory and audiovisual conditions. The results were discussed in the context of affect and modality research related to ISC.

6Effect of object shape on perceived weight

저자 : Taebeum Ryu

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2021권 0호 발행 연도 : 2021 페이지 : pp. 83-85 (3 pages)

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The weight of an object is an important research topic in terms of sensory and perception, and it is known that it has size-weight, color-weight, and material-weight illusion due to the influence of size, color, and material as well as the weight of the object. Although the physical size of an object is measured by volume, the size of an object that we subjectively feel depends on the shape of the object even if it has the same volume. Therefore, the shape of the object determines the size of the object, and the weight of the object may change accordingly. Existing related studies analyzed the effect of weight according to three shapes (tetrahedron, cube, and sphere), but only some shapes showed a difference in weight. Therefore, this study tried to experimentally prove the difference in weight according to the shape that has not yet been clearly identified. To this end, this study produced objects with the same physical size (volume) as in previous studies, but with tetrahedron, cube, and spherical shapes. In addition, the object volume in this study was set to 3 types of 64,000, 125,000, and 216,000 cm3, and the weight of the object was set to be 100, 150, and 200 g for small, medium, and large volumes, respectively, in proportion to the size. 38 college students (21 males, 17 females) participated in this weight test, and the perceived weight of a given object compared to a reference object was evaluated according to the modulus method used for sensory size measurement. As a result of the analysis of the experimental data, it was found that both weight (volume) and shape had a significant effect on the feeling of weight. Naturally, the weight (volume) of an object with a large weight (volume) was statistically significantly greater than that of an object with a small weight. At the same weight (volume), the weight of an object according to shape decreased statistically significantly in the order of a sphere, a cube, and a tetrahedron. In the same volume, subjective size according to shape is small in the order of tetrahedron, cube, and sphere (Kahrimanovic et al., 2010). Therefore, the results of weight perception according to shape in this study showed that subjective size of objects according to shape had an effect on weight. This is explained as a kind of size-weight illusion phenomenon.

7Design and Development of 'My Daily Badge': a Wearable Device for Habitual Behavioral Tracking

저자 : Eiji Onchi , Max Hanssen , Kaihuan Wei , Pengcheng Wan , Cen Zhang , Muneo Kitajima , Seunghee Lee

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2021권 0호 발행 연도 : 2021 페이지 : pp. 86-90 (5 pages)

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Our daily action selection processes are guided by conscious and unconscious behaviors. Being able to measure these signals may provide a clue into how we make decisions and allow us to create better systems that can help us during these action selection processes. A flexible and easy to manufacture tool was needed to bootstrap the research in this field. Therefore, this paper presents the design and development of 'My Daily Badge', a wearable device for habitual behavioral tracking, that is easy to manufacture. We also introduce the Off-the-Shelf Adaptive Design process that led to the creation of this device. Finally, several test measurements are described, as well as potential classification algorithms that can aid researchers in the research of daily conscious and unconscious behavioral patterns. This research contributes toward the development of accessible bioinstrumentation tools that can help researchers in different scientific fields.

8Subjective Differences of Walking Behaviors Between Familiar and Unfamiliar Routes

저자 : Max Hanssen , Eiji Onchi , Muneo Kitajima , Seunghee Lee

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2021권 0호 발행 연도 : 2021 페이지 : pp. 91-99 (9 pages)

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The reasons and benefits that people pursue through walking are often unconscious and unknown to many individuals. This research aims to find out whether understanding the underlying factors that make walking interesting could lead to a higher quality of walks. Participants walked an unfamiliar route after their usual familiar route, to identify previously unknown factors that contributed to the quality of their walking experience. The identified factors were categorized into four main themes. The relations that were found between the main themes and participants can act as a first step to guide those who do not see the value of walking to the potential motivations that they might have for walking.

91. A Study of Epilepsy Prediction using Machine Learning methods

저자 : S. Ramya , M. Uma

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2021권 0호 발행 연도 : 2021 페이지 : pp. 100-105 (6 pages)

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One of the most chronic neurological illnesses is epilepsy that causes unprovoked, recurrent seizures [1]. Seizures are caused by sudden disturbances in the electrical activity of the brain. Over 70 million people are affected worldwide by this chronic disorder [1]. The occurrence of seizure can cause severe disorders in behavior, emotions, jerks in movements, unconsciousness of subjects and can lead to sudden death or injury. An efficient modality that acquires the brain signal is Electroencephalography (EEG). The signals are recorded from the cerebral cortex of the brain. There are two ways of procuring the bio potential signals from the brain i) invasive and ii) non-invasive techniques. Invasive technique is implanting electrodes inside the brain which is also called iEEG (intracranialElectroEncephalography). In this technique electrodes are placed very close to the skull so the unwanted noise can be eliminated and the signals acquired are more effective. In non-invasive technique the dry or wet electrodes are placed on the scalp normally said as scalp EEG. In this technique the signals collected are preprocessed and the artifacts should be removed to improve the accuracy of prediction of Epilepsy. However, the subject may not have any inconvenience of placing the electrodes invasively. The traditional way of predicting EEG signals is mostly error prone or takes more time for the medical practitioners to analyze the data. Hence automation is significant to enhance a quality of living in subjects with epilepsy. ML leverages many automations in the field of health care which ease the patient's diagnosis and prediction. This paper reviews the recent trends in developing a Machine Learning model for efficient prediction of epilepsy. The paper also highlights the various techniques involved in Classifying and detecting Epileptic Seizure (ES), challenges and future directions involved in analyzing EEG signals.

10DESIGN AND DEVELOPMENT OF A SOFT GRIPPER (A REVIEW)

저자 : Dhruba Jyoti Sut , S. Prabhu

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2021권 0호 발행 연도 : 2021 페이지 : pp. 106-109 (4 pages)

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Soft grippers have advanced rapidly thanks to development in soft robotics, science of materials, and flexible electronics. This paper reviewing comprehensive suggestion of soft grippers, including physical ideologies, and device topologies. Different sorts of grippers are required for handling different types of objects, both hard and soft. To acquire additional flexibility in holding objects, it is critical to use flexible and adaptive gripping approaches. Complimentary soft-robotic grasping systems, which are highly adaptable in terms of workpiece shape, size, and structure, are an excellent solution to boost production flexibility. The main reason behind the review is to know about the existing soft gripper and know about existing soft-robotic grippers repeatability with substantial payload capacities. A systematic inspection of soft gripper is offered. Flexible and soft end-effectors often able to grasp or move a broader range of objects than rigid grippers.

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1Drone Control Center

저자 : Soon Beom Kwon , Jae Seung Park , Seung Gun Lee , Jae Hyun Lee , Hyun-bin Lee , Sang Jun Huang , Seung Nam Min

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2019권 0호 발행 연도 : 2019 페이지 : pp. 2-2 (1 pages)

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Introduction: Drones are used in various fields. However, they are not free to fly at nights in most cities by considering safety issues of it. Also, it is not allowed to fly over 150 meters high in invisible zones, especially at night time. Because these cause collision between drones and tall buildings and collision between drones.
Purpose: The purpose of this study is to propose a system to control drones, i.e., drone control center.
Method: Literature was done before selecting GPS, transmitter and drone information. Discussion/Conclusion: Developed an application to transmits the information received from the controller to the cloud using the LTE network. The control system contain a Vworld's 3D map provided by the Ministry of Land, Infrastructure, and Transport. The calculated data applied to the 3D map on the drone control system. The system specifies the margin of error compared with the registered airframe information. The controller continuously mointer every drones connected to it and notifiy the pilot when necessary (example, during danger).

2Drone for building fire suppression

저자 : Jo Yong Du , Lim Jong Wook , Oh Ju Hwan , Kang Min Gyu , Go Han Il , Seung Nam Min

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2019권 0호 발행 연도 : 2019 페이지 : pp. 3-3 (1 pages)

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introduction: Most of the developed cities are now highly populated with increased high-rise buildings. In general, high-rise structures are not preferred due to user perception of insecurity in case of fire and high cost of the building. Recently, there were fire accident occurred in an eight-story building that resulted in numerous causalities and property damage. Globally, there is a constant increase in fire accident in high-rise building. Based on the National Security Agency, the total number of fires in the apartment was 5,798. In that, the high-rise building fire accounted about 60.4% of all building fires. However, not much effort taken to reduce the rate of fire accidents especially in high-rise building.
Purpose: The purpose of this study is to conduct a basic research on how to reduce a fire at an early stage by placing a fire extinguisher in the drones. It also aims at increasing the speed of fire fighters responses to reduce causalities and property damage.
Method: First, this study adopted a method of launching a hand grenade type throwing fire extinguisher into a drone. We selected DJI Inspire 1 model with wide range of manoeuvrability, less affected by wind, and can withstand weight of the hand grenade type fire extinguisher (1.2 kg) also. In addition, we surveyed drone specialists and fire-fighters to determine the appropriate number of fire extinguishers and their location.
Conclusion/Discussion: The survey concludes that a total of four hand grenade type throwing fire extinguisher could be installed in a drone and also the drone can throw the fire extinguisher at an angle of 100 degrees downward. However, the drones can fly about 15 minutes only. This survey also suggest that the fire drone would help to reduce fires in high-rise building and also it can reach fire sites six times faster than golden time. It is expected that about 2,000 ~ 3,000 drones to be placed in fire sites annually, particularly in high-rise building to reduce losses of both life and property

3Design art and emotion expression of Computer UI interface

저자 : Wang Miaohui

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2019권 0호 발행 연도 : 2019 페이지 : pp. 4-9 (6 pages)

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As a modern science and technology, the development of computers is changing with each passing day. Computer UI interfaces carry rich and complex cultural information. This paper carries on brand-new thinking and exploration to the design art and emotion expression of the computer UI interface. Through the computer UI interface design art and emotional expression theory methods, the concept and characteristics of computer UI interface design art and emotional expression are constructed, and various issues in the development process of computer UI interface design art and emotional expression are explored, and the UI interface design of the computer is tapped. The theoretical value of art and emotional expression can better grasp the computer UI interface design art and emotional expression and new technology after the integration of development trends and trends.

4Development of monitoring system and rehabilitation equipment for MSDs

저자 : Seong-gyun Jeong , Sun-hwa Jung , Ji-min Jung , Kyung-sun Lee

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2019권 0호 발행 연도 : 2019 페이지 : pp. 4-4 (1 pages)

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5An empirical study on the Theory of Balanced Beauty of Composition from the perspective of cognitive neuroscience

저자 : Wu Song , Chu Ling Chen , Yan Li

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2019권 0호 발행 연도 : 2019 페이지 : pp. 5-6 (2 pages)

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The present study aimed at exploring the visual cognitive neural mechanism of balanced beauty composition by experiment with the visual art elements as the materials and by use of the method of neural detection technology to determine the degree of aesthetic activation, to obtain effective electrical nerve physiological data. The main findings are as followings: first, images in line with the principle of balanced composition evoked greater P3 peak and a shorter latent period, and will provide more aesthetic experience; second, the discovery of a rare N4-like component in beauty judgments is related to the brain's novelty processing; The present study avoided the subjectivity of aesthetic experience, from a point of control view of the aesthetic elements variables of stimulation images to achieve a specific scientific inquiry of aesthetic theory, we defined the scientificity of principle of balanced composition.

6Comparison of VOT (Voice Onset Time) on Stroke Patients and Normal Elderly for Stroke Prediction

저자 : Murali Subrmanaiyam , Se Jin Park , Kyung-sun Lee , Jung Nam Im , Seung Nam Min

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2019권 0호 발행 연도 : 2019 페이지 : pp. 7-8 (2 pages)

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Stroke is a brain attack occurs when sudden disturbance of blood supply to the brain. In Korea, stroke is the third leading cause of death after cancer and heart disease. Stroke symptoms are FAST (Face drooping, Arm weakness, Speech difficulty), also beyond FAST including trouble in visibility, trouble in walking, numbness or weakness of face, arm, etc. Voice onset time (VOT) is an interval from implosive sound to before start vowel, also it is an important signal to confirm the presence or absence of implosive sound. The VOT simply refers the time that elapses between the release of the articulators for a stop and the onset of vocal cord vibration of the following segment. Not much studies analyzed the speech data for predicting stroke onset. This study aims at investigating voice onset time difference between normal elderly and elderly stroke patients to prepared stroke prediction model. A total of 324 elderly (151 stroke patients, 173 normal) were recruited from Chungnam National University Hospital for this study. The elderly subjects were instructed to pronounce an explosive Korean word “TTOGTTA” three times and their voice were recorded for further processing. Both groups voice signals for analyzed for VOT and compared.

7Quantification of Riding Performance and Mental Stress Level when Using Advanced Driver Assistance System for Powered Two-Wheelers

저자 : Joohyeong Lee , Saya Kishino , Keisuke Suzuki

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2019권 0호 발행 연도 : 2019 페이지 : pp. 9-10 (2 pages)

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In recent years, ICT (Information and Communication Technologies) such as V2I (Vehicleto- Infrastructure), V2V (Vehicle-to-Vehicle) are being actively developed for driving safety systems across the world. In the future, ADAS (Advanced Driver Assistance System) using ICT and various kinds of sensors will be more implemented on PTW (Powered Two-wheeler) and introducing pace also will be accelerated. However, ADAS such as alarm systems can increase the level of mental stress of the four-wheeler drivers and it can be more critical for PTW riders. Therefore, we propose a method of quantifying the riding performance and mental stress level of PTW riders. In this study, we investigated the riders riding behaviors and mental stress using riding simulator (n = 7, mean age = 24.57). The riding performance was quantified as a single indicator, the mental stress level was assumed the normalized EDA signal when riders encountered a risky situation. As a result, the average mental stress level slightly increased when using the system, but there was no significant difference (t (20) = - 1.366, p=0.187). However, the riding performance improved when using the system (t (20) = -5.996, p<0.001).

8Analysis of Factors Influencing the Kansei Evaluation of Images of Cooked Dishes

저자 : Yuri Hamada , Keisuke Kanno , Hiroko Shoji

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2019권 0호 발행 연도 : 2019 페이지 : pp. 10-11 (2 pages)

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This study focuses on images of cooked dishes, and aims to identify the essential features of good images, that is, photos that make food look "delicious". The authors consider as Kansei evaluation “Looks delicious” as a hierarchical structure constructed from the impression layer and the physical layer, and modeled it using the impression evaluation and physical features of the image. First, the impression evaluation for images of cooked dishes was performed. As a result, the evaluation value of the adjective pair that affects the Kansei evaluation value of “Looks delicious” and the Kansei evaluation value of “Looks delicious” was obtained. A principal component analysis was performed using the evaluation values of the obtained adjective pairs, and four principal components were extracted as the impression layer: delicacy, sizzle, freshness and moderate portion. The physical layer used six image features: hue, saturation, brightness, number of pixels, presence of background, and presence of background blur. Next, a “Looks delicious” hierarchical structure model was constructed using Ridge regression. As a result, it was suggested that the delicacy has an influence especially on "looks delicious", and that brightness, background, and background blur had an effect on delicacy.

9Analysis of Effects of Supplying Scent Related to Kagawa Prefecture on Driving Behavior

저자 : Haruki Asano , Ryo Tanabe , Suzuki Keisuke

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2019권 0호 발행 연도 : 2019 페이지 : pp. 11-12 (2 pages)

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The purpose of this study is to analyze the effects of supplying the scent related to Kagawa prefecture on driving behavior and accident-reduction effects. It has been already revealed that supplying a scent of aroma oils is effective in the maintenances of drive's concentration and arousal level in various kinds of studies. However, there are few studies that evaluate how much the effects of scents except for aroma oils are. Thus, in this study, considering that a lot of traffic fatal accidents are caused in Kagawa prefecture in Japan, we focused on reducing it by using the scent which is composed of the pine oil extracted from Matsu and Bonsai related to Kagawa prefecture. We conducted a driving simulator experiment and analyzed driving behavior against a risk event in the two conditions of supplying the scent or not. Additionally, we performed the simulation analysis based on time-series reliability model proposed by authors in a previous study to quantify the accident-reduction effects by supplying the scent. We found that there was a significant shortening in braking reaction time when supplying the scent. As a result, the accident-reduction effects of 43.8 % by supplying a scent was shown.

10Comfort evaluation of custom-made men's dress shirts for special body type

저자 : Kyoungok Kim , Ryo Wakao , Masayuki Takatera , Midori Kanazawa , Tadaharu Narita , Yuji Kitazawa

발행기관 : 한국감성과학회 간행물 : 한국감성과학회 국제학술대회(ICES) 2019권 0호 발행 연도 : 2019 페이지 : pp. 12-12 (1 pages)

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To verify the comfort of personalized men's dress shirts for special body types, we evaluated the comfort of custom-made dress shirts by wearing test and using a 3D simulator. For subjects of forward head, sway back, rounded upper back, and forward shoulder, we made a ready-made shirt and three custom-made shirts for each body type by modifying the ready-made shirt. A comfort assessment questionnaire was conducted by wearing those shirts. An avatar is created on a 3D simulator using a subject's dimensions and shape, and wearing simulations were carried out using the same shirts pattern and the avatar. We compared the results of the questionnaires to the distribution of clothing pressure of simulation. With the custom made shirts modified the ready-made shirts, the number of discomfort parts of the ready-made shirts was decreased. In the simulation of the ready-made shirts, high clothing pressure is observed on the places where the subjects felt the pressure. High clothing pressure is reduced by wearing custommade shirts. Therefore, it was able to make comforter custom-made shirts for the special body types by modifying ready-made shirts. It was also found that 3D simulator can be substituted for wearing experiments targeted those special body types.

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