Gwanghyung Lee's research while affiliated with Sejong University and other places

Publications (8)

Article
As pervasive computing is developed, a user's context information will be used in a system to provide the user with intelligent services. Context is defined as information that characterizes the situation of an entity under a certain system environment. In this paper, we classify the context in a system into three types: user context, device contex...
Article
The natural user interface/experience (NUI/NUX) is used for a natural motion interface without using a device or tool such as a mouse, keyboard, pen, or marker. Up to now, typical motion recognition methods have used markers to receive coordinate input values as relative data and store them in a database. However, to recognize accurate motion, more...
Article
The natural user interface/experience (NUI/NUX) is used for the natural motion interface without using device or tool such as mice, keyboards, pens and markers. Up to now, typical motion recognition methods used markers to receive coordinate input values of each marker as relative data and to store each coordinate value into the database. But, to r...
Article
As pervasive computing is developed, a user's context information is used in a system to provide intelligent service to the user. Context is defined as information that characterizes the situation of an entity under a certain system environment. In this paper, we classify the context in a system into three types of context: user context, device con...
Chapter
Up to now, typical motion recognition methods have used markers. The recognition methods were to receive coordinate input values of each marker as relative data and to store each coordinate value into the database. Methods using markers could store and utilize accurate values in the database but as ubiquitous era comes, there was no time enough to...
Article
With the increased interest in the neurofeedback and brain-computer interface area in recent years, diverse studies are being actively conducted. In this paper, we develop and propose a new BCI system and also implement a brain-wave measurement system to confirm a degree of depression and concentration. Through data digitization and graphs, the sys...
Chapter
Up to now, typical motion recognition methods have used markers. The recognition methods were to receive coordinate input values of each marker as relative data and to store each coordinate value into the database. Methods using markers could store and utilize accurate values in the database but as ubiquitous era comes, there was no time enough to...
Chapter
Up to now, typical motion recognition methods have used markers. The recognition methods were to receive coordinate input values of each marker as relative data and to store each coordinate value into the database. Methods using markers could store and utilize accurate values in the database but as ubiquitous era comes, there was no time enough to...

Citations

... Despite these small variances, there is agreement regarding the central frequency components. Game makers and psychologists have become interested in understanding those waves [15] because they can be used not only to measure psychophysiological states, but also for indirectly analyzing diseases such as depression and Alzheimer's Disease [19], [23], [24], and feelings of boredom [22], happiness, sadness, and fear [25] in a non-invasive, safe, and simple way. There has been a long interest in discovering brain patterns to characterize engagement, focus and other emotions [26]- [28]. ...
... Examples of studies using Kinect include a system that selects the objects in a virtual world through a Kinect camera and software for mobility-impaired seniors [4][5]. In addition, a study on a hand mouse, which is the basis of this research, was conducted in 2014 [6]. In this study, the proposed system is a hand-mouse interface that introduces a new concept called a "virtual monitor" to extract a user's physical features in real time. ...
... This could be done by taking the previous classified actions to add to the probability determination of the classification. Other solutions, include those of Shin et al. [85], who propose a Human Interaction Markup Language [85] to augment the data with time, environment, user, device, and proximity context to augment the classification process. ...