• The Optical Journal
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• s.163
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• pp.34-39
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• 2016

가상현실 및 증강현실 기술이 미래 지식서비스 산업으로 각광 받으면서 가상/증강현실 시대를 대비하는 IT 기업들이 증가하고 있다. 본 글에서는 증강현실 분야의 현황, 증강현실의 기본 개념 및 정의, 미래발전 방향으로서의 증강휴먼, 증강휴먼 핵심기술 및 응용을 살펴보고 이를 통해 미래 전망을 도출하고자 한다.

• Electronics and Telecommunications Trends
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• v.34 no.4
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• pp.65-75
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• 2019

Sensory substitution involves mapping the characteristics of one sensory modality to the stimuli of another sensory modality. In general, when a person is visually impaired or deaf, they do not actually lose their ability to see or hear completely; however, they only lose their ability to transmit sensory signals from the periphery to the brain. It has been experimentally proven that a person who has lost the ability to retrieve data from the retina can still visualize subjective images by using data transferred from other sensory modalities such as tactile or auditory modalities. This is because vision processing pathways are still intact in most cases. Therefore, sensory substitution uses human perception and the plasticity of the human brain to transmit sensory signals through pathways that have not been lost. In this study, we analyze the characteristics and problems of various devices used for sensory substitution and summarize the recent technological trends in these devices.

• Electronics and Telecommunications Trends
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• v.36 no.1
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• pp.32-42
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• 2021

Innovative developments in wearable and artificial intelligence technologies are accelerating the emergence of a soft suit that can autonomously augment a body's own strength and protect the human body. In this paper, we define the concept of "Exoskin," a new concept specifically derived from the "Road to an Intelligent Information Society" (Technology Development Map 2035) as predicted by the Electronics and Telecommunications Research Institute. In addition, we analyze the development status of each element of this technology and forecast its future development.

• Electronics and Telecommunications Trends
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• v.37 no.1
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• pp.21-31
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• 2022

Human behavior and emotions are influenced by experiences accumulated through the past and present. To realize artificial intelligence technology that understands and sympathizes with humans, cognitive computing technology that automatically analyzes human behaviors, habits, and emotions associated with specific situations and uses past data and domain knowledge is required. In this study, we examine the latest research trends on human-understanding cognitive computing technology that recognizes human behavior and emotions, stores them as experience data, and provides services by analyzing the stored data. Further, we introduce high-quality data collection research in real-life and services for improving physical and mental health. We also review key issues essential for developing these technologies.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.5
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• pp.59-71
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• 2020

With the advent of the 4th industrial revolution, technologies for improving human ability are being developed. In particular, human augmentation is developing in the form of not only detecting the ability to understand internal and external conditions of humans, but also detects one's deficiencies and enhances their abilities. With the explosive growth and proliferation of extended reality, human augmentation technology has the potential to be utilized in various aspects of our lives. To analyze recent human augmentation technology in forms of digital enhancements, this paper examines the history and concept of human augmentation, which began with the trans-humanism. Furthermore, we identify core characteristics of human augmentation as user state quantification, cognitive ability measurement and analysis. Then we present how these characteristics should be used in extended reality based human digital augmentation for enhancing cognitive abilities. Lastly, we discuss future directions on feasible applications and development direction of digital human augmentation.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.427-428
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• 2021

Recently, various augmented reality(AR) methods for monitoring situations in a remote factory have been proposed. The 2D manual with a classic method is not intuitive to understand and has limitations to provide to interact with objects to be repaired in the remote factory. In our paper, we present a guide method based on a virtual human expressed in augmented reality for the remote environment. Also, the remote factory environment was periodically captured through 3D reconstruction, our virtual human was adaptively matched to the built 3D environment. According to this paper, our method makes it possible to perform repairs quickly with the feeling of being with an expert. and it is possible to provide a visualized guide for troubleshooting in various fields such as factories, offices, medical facilities, and schools in remote environments.

• Electronics and Telecommunications Trends
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• v.39 no.1
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• pp.74-82
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• 2024

Music is a means of emotional expression and self-expression. In addition, it allows to interact with others and communicate with the world. Music may be considered as inaccessible for people with hearing impairment, who are sometimes discriminated from the music community. We explore trends in various technologies and research that enable everyone to access and enjoy music through experiences that leverage new and innovative technological approaches and bridge the gap between people with and without hearing impairment. Various aspects of haptic systems are being studied, but most of them are performance-oriented and focus only on technical functions. As research matures, more detailed and new studies that converge with various senses are being attempted. These studies will likely evolve into influential research areas that can positively affect the lives of people in terms of accessibility and inclusion by providing detailed functions and stimuli to specific users, including those with hearing impairment.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.446-450
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• 2020

딥러닝 기반의 영상 분석 방법들은 많은 양의 학습 데이터가 필요하며, 학습 데이터 구축에는 많은 시간과 노력이 소요된다. 특히 객체 검출 분야의 경우 영상 내 객체의 위치, 크기, 범주 등의 정보가 모두 필요하여 학습 데이터 구축에 더 많은 어려움이 있으며, 이를 해결하기 위해 최근 이미지 합성기반 데이터 증강에 관한 연구가 활발히 진행되고 있다. 이미지 합성기반 데이터 증강 방법은 배경 영상에 객체를 합성할 때 객체와 배경 영상이 접한 영역에서 아티팩트(Artifact)가 발생하며, 이는 객체 검출 모델이 아티팩트를 객체의 특징으로 모델링하여 검출 성능이 저하되는 원인이 된다. 이러한 문제를 해결하기 위하여 본 논문에서는 양방향 필터 기반의 이미지 합성 방법을 제안하고, 단일 단계 검출의 대표적인 방법인 RetinaNet을 이용하여 이미지 합성기반 데이터 증강 방법의 성능을 분석하였다. 공개 데이터셋에 대한 실험 결과 본 논문에서 사용한 단일 검출 방법 및 데이터 증강 기법을 사용하면 더 적은 양의 증강 데이터로 기존 방법과 동일한 성능을 보여주는 것을 확인하였다.

• Electronics and Telecommunications Trends
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• v.34 no.4
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• pp.108-116
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• 2019

Electro-active polymers and dielectric elastomers have many intriguing properties that enable smart interfaces and electrically tunable optical systems, such as haptic feedback devices, artificial muscles, and expansion-tunable optical elements. These device classes are of great interest owing to their promising roles in next-generation technologies including virtual or augmented reality, human sensing and muscular enhancement, and artificial skins. In this report, we review basic principles, current state-of-the-art techniques, and future prospects of electro-active and dielectric elastomer technology. We describe chemical and physical properties of the most promising polymer substances, essential elementary architectures for artificial muscle-like functionalities, and their applications to haptic interfaces, muscular enhancement, and focus-tunable optical elements.

• Review of Korea Contents Association
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• v.19 no.2
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• pp.19-24
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• 2021