• Convergence Security Journal
• /
• v.22 no.2
• /
• pp.115-120
• /
• 2022

This study analyzed the recent trends in the sports environment to which big data and AI technologies, which are representative technologies of the 4th Industrial Revolution, and approached them from the perspective of convergence of big data and AI technologies in the sports field. And the results are as follows. First, it is being used for player and game data analysis and team strategy establishment and operation. Second, by combining big data collected using GPS, wearable equipment, and IoT with artificial intelligence technology, scientific physical training for each player is possible through user individual motion analysis, which helps to improve performance and efficiently manage injuries. Third, with the introduction of an AI-based judgment system, it is being used for judge judgment. Fourth, it is leading the change in marketing and game broadcasting services. The technology of the 4th Industrial Revolution is bringing innovative changes to all industries, and the sports field is also in the process. The combination of big data and AI is expected to play an important role as a key technology in the rapidly changing future in a sports environment where scientific analysis and training determine victory or defeat.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2012.05a
• /
• pp.521-523
• /
• 2012

In the field of virtual reality and game production with realistic, real-time character's behavior is frequently used. In this paper, the terrain changes or other actions on the surrounding environment by implementing adaptive any action that is the most natural and can be adapted to analyze real-time character animation is implemented. For this purpose, in order to control the various movements of the character of the human body, by highlighting the major joints Kinematic dummy character animation is to create a way. Changes in terrain height difference of the two stairs that could cause analysis of the behavior in the environment and the other on the surrounding environment by adapting behavior to analyze the behavior of the slope climbing Based on this, the character animation is implemented.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.20 no.6
• /
• pp.1183-1188
• /
• 2016

Kinect sensor version 2 is a kind of camera released by Microsoft as a computer vision and a natural user interface for game consoles like Xbox one. It allows acquiring color images, depth images, audio input and skeletal data with a high frame rate. In this paper, using depth image, we present a surveillance system of a certain area within Kinect's field of view. With computer vision library(Emgu CV), if an object is detected in the target area, it is tracked and kinect camera takes RGB image to send it in database server. Therefore, a mobile application on android platform was developed in order to notify the user that Kinect has sensed strange motion in the target region and display the RGB image of the scene. User gets the notification in real-time to react in the best way in the case of valuable things in monitored area or other cases related to a reserved zone.

• Journal of Platform Technology
• /
• v.6 no.2
• /
• pp.3-9
• /
• 2018

Recently VR environment is used in many areas including mobile learning, smart factory. However HMD(head-mounted display) is required to a dedicated and expensive system with high-end specification. When designing a VR system, it is needed to handle performance, mobility and usability. Many VR applications need to handle diverse sensors and user inputs continuously in a streaming manner. In this paper we design a VR mobile platform and implement a low-cost mobile VR HMD running on the platform. The VR HMD supports 3D contents delivery in a mobile manner. It is used to detect the motion detection based on angle value of a VR player from accelerator and gyro sensor. The MPU-6050, 6-axis sensor, is used to get a sensory value and the sensory value is taken as an input to a VR rendering server on a Unity game engine that is generated 3D images.

• Physical Therapy Korea
• /
• v.24 no.1
• /
• pp.30-40
• /
• 2017

Background: Many studies have reported positive results of the various mirror training and virtual reality games in improving dynamic standing balance and posture adjustment in chronic stroke patients. However, no systematic study has been conducted to compare the effects of virtual reality games and the mirror balance training. Objects: The purpose of this study was to compare the effectiveness of Wii balance games and Mirror Self-Balancing Exercises in improving proprioception of knee joint and standing balance of people with chronic stroke. Methods: Twenty patients with chronic stroke volunteered for this study. The subjects were randomly divided into a Wii balance games group and a Mirror Self-Balancing Exercises group with 10 patients in each group. Each training was performed for 30 mins a day for 4 days. In addition to the balance training, 30 mins neuro-developmental-treatment based routine physical therapy was given to both groups. Proprioception was measured using two continuous passive motion devices, and static balance was measured using a Wii balance board. Dynamic balance assessment tools included the Berg Balance Scale, Dynamic Gait Index, and Timed Up-and-Go test. Results: All measured variables before and after the experimental results showed a significant improvement in both groups (p<.05). Only the improvement of the affected knee proprioception appeared to be significantly greater in the Wii balance game group (p<.05). However, other variables did not differ between the groups (p>.05). Conclusion: The findings suggest that both Wii balance games and Mirror Self-Balancing Exercises may be helpful for improving the proprioception of knee joint and the balance of patients with chronic stroke.

• Journal of information and communication convergence engineering
• /
• v.11 no.3
• /
• pp.207-215
• /
• 2013

In this paper, we address the challenging computer vision problem of obtaining a reliable facial expression analysis from a naturally interacting person. We propose a system that combines a 3D generic face model, 3D head tracking, and 2D tracker to track facial landmarks and recognize expressions. First, we extract facial landmarks from a neutral frontal face, and then we deform a 3D generic face to fit the input face. Next, we use our real-time 3D head tracking module to track a person's head in 3D and predict facial landmark positions in 2D using the projection from the updated 3D face model. Finally, we use tracked 2D landmarks to update the 3D landmarks. This integrated tracking loop enables efficient tracking of the non-rigid parts of a face in the presence of large 3D head motion. We conducted experiments for facial expression recognition using both framebased and sequence-based approaches. Our method provides a 75.9% recognition rate in 8 subjects with 7 key expressions. Our approach provides a considerable step forward toward new applications including human-computer interactions, behavioral science, robotics, and game applications.

• Journal of Practical Engineering Education
• /
• v.8 no.1
• /
• pp.23-29
• /
• 2016

Our society is endemic in safety insensitivity, yet we have been concerned for safety education and disaster drill since the Sewol Ferry accident. However, the practical training costs very high, and it has its limit to increase reality. Recently, industry fields put emphasis on virtual reality (VR) as alternatives, so various contents are invented by using advantages of VR. The paper explores crucial application in 3-dimensional simulation for fire drill, suggests novel design, and contemplates about educative result through designing process. In order to construct and materialize the suggested system, practical 3D spatial information model and various disaster-drill scenarios are necessary. Also, to apply game elements for augmentation in users' utility, educations based on computer science and visual art are inevitable, which requires skills in programing and modeling respectively. Thus, this study investigates educational effect of convergence field through the suggested system designing process.

• The Korean Journal of Nuclear Medicine
• /
• v.39 no.6
• /
• pp.413-420
• /
• 2005

Purpose: Neuroreceptor PET studies require 60-120 minutes to complete and head motion of the subject during the PET scan increases the uncertainty in measured activity. In this study, we investigated the effects of the data-driven head mutton correction on the evaluation of endogenous dopamine release (DAR) in the striatum during the motor task which might have caused significant head motion artifact. Materials and Methods: $[^{11}C]raclopride$ PET scans on 4 normal volunteers acquired with bolus plus constant infusion protocol were retrospectively analyzed. Following the 50 min resting period, the participants played a video game with a monetary reward for 40 min. Dynamic frames acquired during the equilibrium condition (pre-task: 30-50 min, task: 70-90 min, post-task: 110-120 min) were realigned to the first frame in pre-task condition. Intra-condition registrations between the frames were performed, and average image for each condition was created and registered to the pre-task image (inter-condition registration). Pre-task PET image was then co-registered to own MRI of each participant and transformation parameters were reapplied to the others. Volumes of interest (VOI) for dorsal putamen (PU) and caudate (CA), ventral striatum (VS), and cerebellum were defined on the MRI. Binding potential (BP) was measured and DAR was calculated as the percent change of BP during and after the task. SPM analyses on the BP parametric images were also performed to explore the regional difference in the effects of head motion on BP and DAR estimation. Results: Changes in position and orientation of the striatum during the PET scans were observed before the head motion correction. BP values at pre-task condition were not changed significantly after the intra-condition registration. However, the BP values during and after the task and DAR were significantly changed after the correction. SPM analysis also showed that the extent and significance of the BP differences were significantly changed by the head motion correction and such changes were prominent in periphery of the striatum. Conclusion: The results suggest that misalignment of MRI-based VOI and the striatum in PET images and incorrect DAR estimation due to the head motion during the PET activation study were significant, but could be remedied by the data-driven head motion correction.

• Journal of the Institute of Electronics Engineers of Korea CI
• /
• v.44 no.1
• /
• pp.56-63
• /
• 2007

In this paper, an eye tracking method is presented using a neural network (NN) and mean-shift algorithm that can accurately detect and track user's eyes under the cluttered background. In the proposed method, to deal with the rigid head motion, the facial region is first obtained using skin-color model and con-nected-component analysis. Thereafter the eye regions are localized using neural network (NN)-based tex-ture classifier that discriminates the facial region into eye class and non-eye class, which enables our method to accurately detect users' eyes even if they put on glasses. Once the eye region is localized, they are continuously and correctly tracking by mean-shift algorithm. To assess the validity of the proposed method, it is applied to the interface system using eye movement and is tested with a group of 25 users through playing a 'aligns games.' The results show that the system process more than 30 frames/sec on PC for the $320{\times}240$ size input image and supply a user-friendly and convenient access to a computer in real-time operation.

• Cartoon and Animation Studies
• /
• s.30
• /
• pp.221-243
• /
• 2013

Recently, traditional books based on printing on the paper have expanded to e-book media in smart device because of developing digital technology. Especially, app book applied application makes users' experience increase and provides immersion to them, because it allows them basically delivering information, educational effect and fun elements with multimedia technology. There are various experimental trials to make enhance effect of reformatting for application media. The purpose of this study is to analyze reformatting effect for app book with funology which is convergence of digital technology and a fun. Then this article would provide design guide and be applied to new application contents. For this research, the first of all, we would discuss concept and elements of funology by publication including thesis, articles, and books. Secondly, this article will be focused on 'Moo, Baa, La La La!' which is reformatting application for iPad to analyze type of funology. Thirdly, we would make sure that app book makes users get emotional effect comparing original book by FGI(Focus Group Interview). In conclusion, sensitive funology used the sound allows user emotional effect and they prefer to intuitive and immediate motion and response of interactive funology. In other way, funology of fun in itself which is strong concept in original book diminishes in app book. Then users concentrate interactive factors like game structure. This results make that app books could be created by strength of original contents and advantage of funology. Therefore this makes us expect the possibility of reformatting effect with funology and we need to discuss the points of issue that there are considerations and limitations to successful app book for users.