• 대한인간공학회지
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• 제31권4호
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• pp.475-481
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• 2012

Objective: The aim of this study is to make the taxonomy for classifying diverse touchless gestures and establish the design requirements that should be considered in determining suitable gestures during gesture-based interaction design. Background: Recently, the applicability of touchless gestures is more and more increasing as relevant technologies are being advanced. However, before touchless gestures are widely applied to various devices or systems, the understanding on human gestures' natures and their standardization should be prerequisite. Method: In this study, diverse gesture types in various literatures were collected and, based on those, a new taxonomy for classifying touchless gestures was proposed. And many gesture-based interaction design cases and studies were analyzed. Results: The proposed taxonomy consisted of two dimensions: shape (deictic, manipulative, semantic, or descriptive) and motion(static or dynamic). The case analysis based on the taxonomy showed that manipulative and dynamic gestures were widely applied. Conclusion: Four core requirements for valuable touchless gestures were intuitiveness, learnability, convenience and discriminability. Application: The gesture taxonomy can be applied to produce alternatives of applicable touchless gestures, and four design requirements can be used as the criteria for evaluating the alternatives.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2015년도 춘계학술대회
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• pp.662-665
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• 2015

본 논문은 사용자와 시스템간의 인터페이스 관련 표준화를 추진 중인 ISO/IEC/JTC1의 SC35 UI의 제스처 기반 UI 요소 및 요구사항 및 제스처 기반 UI 표준 프레임워크를 분석하고, 이를 기반으로 GIML(Gesture-based Markup language) 마크업 언어 설계에 대해 제안 한다.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제21권8호
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• pp.555-560
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• 2015

본 논문에서는 기존 레거시 웨어러블 기기들을 활용한 CE기기들의 제어 방법을 분석하고 개선 필요 사항들을 도출하였다. 이러한 선행 연구들에서는 추가적인 웨어러블 형태의 기기들을 착용해야만하고, 제어 명령 전송 등을 위한 특정 공간으로 이동해야만 하는 단점이 존재하였다. 이러한 문제점들을 해결하기 위해, 본 논문에서는 일반적인 스마트와치 형태의 웨어러블 기기를 활용하여, 기기를 제어할 수 있는 새로운 형태의 웨어러블 프레임워크를 제안하였다. 이를 통해, 스마트홈 서비스와 효과적으로 연계할 수 있는 시스템 구조와 제안 시스템의 효율성 검증 실험 결과를 소개하도록 한다.

• 복식
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• 제61권8호
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• pp.57-72
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• 2011

The purpose of this research is to develop a safe and convenient wearable technology wear for bikers. For this, we studied the current usage of two-wheeled vehicles and have also researched the rate of accidents and its causes. We then used them along with previous studies in terms of visual perception as factors to decide the crucial elements of the riders' apparel. Case studies and the break down for the established prototypes for bikers were practiced as well. Based on this process, a survey was conducted to find out the needs of the bikers in the areas of both apparel and technology and then proceeded to produce the appropriate design and device modules. In the apparel sector, the result of the survey indicated that it was considerable that any digital devices were not shown to sustain a natural visible look. It also was essential that the materials were durable and made for safety and easy movement. In the digital function sector, it was significant that a motion input interface which will be embedded into the wear was needed to avoid any dangerous situations. This would ensure the safety of not only the rider but the surrounding riders as well. Lastly, protecting the rider's skin from any harmful elements was regarded necessary as well. Based on these requirements, a new prototype was created and will be tested if the requirements stated above are all met and will be evaluated according to the effectiveness of its functions.

• 디자인학연구
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• 제13권3호
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• pp.49-58
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• 2000

현재 우리가 흔히 사용하고 있는 컴퓨터의 인터페이스는 모든 사용자들이 주어진 환경에 적응하여 사용하도록 유도, 강요하는 일반화된 형태이다. 하지만 사용자의 요구는 매우 다양하며 일반 환경과는 쉽게 부합될 수 없는 사용자 환경을 가지는 계층이 존재한다. 이러한 요구에 대응하여 본 연구는 '비언어적 의사소통 방법'을 제안하였다. 제안된 방법은 인간의 여러 행동 양식 중 입을 통한 '불기(blowing)'를 컴퓨터와의 상호작용에 적용시키는 것인데, 이것은 세 가지의 형식으로 제안되었다. 첫 번째는 그림을 그리는 프로그램이고, 두 번째는 아케이드 형식의 게임이며, 세 번째는 이야기를 전개하는 인터랙티브 북이다. 그 결과로, 본 연구에서 제안된 방법들이 향후, 인간과 컴퓨터 사이의 인터페이스 개발에 효과적으로 활용될 수 있음을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권5호
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• pp.1967-1983
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• 2020

The goal of this paper is to analyze and build an algorithm to recognize hand gestures applying to smart home applications. The proposed algorithm uses image processing techniques combing with artificial neural network (ANN) approaches to help users interact with computers by common gestures. We use five types of gestures, namely those for Stop, Forward, Backward, Turn Left, and Turn Right. Users will control devices through a camera connected to computers. The algorithm will analyze gestures and take actions to perform appropriate action according to users requests via their gestures. The results show that the average accuracy of proposal algorithm is 92.6 percent for images and more than 91 percent for video, which both satisfy performance requirements for real-world application, specifically for smart home services. The processing time is approximately 0.098 second with 10 frames/sec datasets. However, accuracy rate still depends on the number of training images (video) and their resolution.