• Title/Summary/Keyword: 팩맨

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Pacman Game Using Recognition of Hand Movement from Game Industry (게임 산업에서 손동작 인식을 이용한 팩맨 게임)

  • Shin, Seong-Yoon;Rhee, Yang-Won
    • Journal of Korea Society of Industrial Information Systems
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    • v.17 no.3
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    • pp.51-57
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    • 2012
  • Pacman is known as the terminator of the loved classic game in the world. In this paper, classic pacman game without using a keyboard or a mouse we should be able to play the game with simple hand gestures. In other words, It use motion game to be a substitute for the hand direction key using the center coordinates. Also, movements of the monster is to be replaced depending on your hand movements by extracting a pointer of hand taking pictures in the MFC dialog using Cam. In this paper, YCbCbr image is convert to RGB images to extract skin color, and multiplication operations and hybrid median filtering was used in order to obtain better images. And it is used to obtain movement of the hand area based on obtain the center of gravity of the hand region.

The Pacman Game Using Movement of The Hand (손의 움직임을 이용한 팩맨 게임)

  • Shin, Seong-Yoon;Jang, Dai-Hyun;Shin, Kwang-Seong;Lee, Hyun-Chang;Rhee, Yang-Won
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.06a
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    • pp.43-44
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    • 2011
  • 전자 오락실에서 고전 게임 팩맨을 접하지 않은 사람이 없을 정도이다. 본 논문에서는 키보드나 마우스를 이용하여 게임을 수행하지 않고 간단한 손동작만으로 게임을 진행 할 수 있도록 한다. 손 좌표의 중심점을 활용하여 상하좌우 방향키를 대신할 수 있도록 한 모션을 이용한 조이스틱 게임인 것이다. 그리고 웹 카메라를 이용하여 MFC 다이얼로그에 영상을 받아 손에 대한 포인터를 추출하여 손의 움직임에 따라 몬스터의 움직임도 바뀌도록 한다. 손의 피부색상을 추출하기 위해 스무딩, 팽창, 그리고 침식 연산을 수행하도록 하며 손의 RGB 영상을 YCbCbr영상으로 변환하여 전체 게임을 진행한다.

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Pacman Game Using Skin Color Extraction and Center of Gravity of Hand (손의 피부색 추출과 무게중심을 이용한 팩맨 게임)

  • Shin, Seong-Yoon
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.6
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    • pp.49-55
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    • 2012
  • Pacman is one of the world-famous and have been chosen game in the game room at the arcade. In this paper, pacman game gives you the ability to perform by simple hand movement alone. First, we obtain binary RGB image to extract skin color, and convert into binary image YCbCr by minus the luminance in this image. Next, we extract the hand region by the product of an binary RGB image and binary YCbCr image. Finally, the hand region, we obtain the center of gravity by the minimum bounding rectangle and the center of the hand pixel area, and we used to obtain the center of the hand area with an average of two center of gravity. In other words, we presented the game of motion that can take the place of arrow key by using the center coordinates of hand. In addition, these experiments showed the average movement and error rate, and cause of the error type was also investigated.

Making Levels More Challenging with a Cooperative Strategy of Ghosts in Pac-Man (고스트들의 협력전술에 의한 팩맨게임 난이도 제고)

  • Choi, Taeyeong;Na, Hyeon-Suk
    • Journal of Korea Game Society
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    • v.15 no.5
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    • pp.89-98
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    • 2015
  • The artificial intelligence (AI) of Non-Player Companions (NPC), especially opponents, is a key element to adjust the level of games in game design. Smart opponents can make games more challenging as well as allow players for diverse experiences, even in the same game environment. Since game users interact with more than one opponent in most of today's games, collaboration control of opponent characters becomes more important than ever before. In this paper, we introduce a cooperative strategy based on the A* algorithm for enemies' AI in the Pac-Man game. A survey from 17 human testers shows that the levels with our collaborative opponents are more difficult but interesting than those with either the original Pac-Man's personalities or the non-cooperative greedy opponents.

Pacman Game Reinforcement Learning Using Artificial Neural-network and Genetic Algorithm (인공신경망과 유전 알고리즘을 이용한 팩맨 게임 강화학습)

  • Park, Jin-Soo;Lee, Ho-Jeong;Hwang, Doo-Yeon;Cho, Soosun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.15 no.5
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    • pp.261-268
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    • 2020
  • Genetic algorithms find the optimal solution by mimicking the evolution of natural organisms. In this study, the genetic algorithm was used to enable Pac-Man's reinforcement learning, and a simulator to observe the evolutionary process was implemented. The purpose of this paper is to reinforce the learning of the Pacman AI of the simulator, and utilize genetic algorithm and artificial neural network as the method. In particular, by building a low-power artificial neural network and applying it to a genetic algorithm, it was intended to increase the possibility of implementation in a low-power embedded system.

Pacman Game Using Hand Motion Recognition (손동작 인식에 의한 Pacman 게임)

  • Shin, Seong-Yoon;Baek, Jeong-Uk;Rhee, Yang-Won
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.10a
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    • pp.329-330
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    • 2010
  • Classic game Pac-Man (Pacman) is playing a game using a somple hand gasture without using a keyboard or a mouse. In other words, it is a joystick game by motion to replace the arrow keys using the center coordinates of the hand. In addition, the pointer of hand is extracted by accepting images to MFC dialog using cam. Thus, movements of the monsters is to be replaced by hand movements. In this paper, smoothing, expansion, and erosion operation for the skin color extraction, and RGB images are converted to YCbCbr images.

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A Method of Gameplay Analysis by Petri Net Model Simulation (Petri Net 모델 시뮬레이션을 통한 게임플레이 분석방법)

  • Chang, Heedong
    • Journal of Korea Game Society
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    • v.15 no.5
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    • pp.49-56
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    • 2015
  • As the popularity of casual games, they are increasing the needs to satisfy personal dispositions and the gameplay requirements of the various users in the game development process. These require analysis of action patterns of gameplay of various users in the testing phase of the game development. In this paper, we propose a method to analyze action patterns of gameplay through Petri net model simulation with gameplay metrics data. The proposed method has practical simulation environments because of using gameplay metrics data, and it can analyze diversely like reachability, coverbility, and liveness given by Petri net model analysis. An application example of the proposed method using a Petri net modeling tool GPenSIM v4.0 is given to analyze the patterns of gameplay in game Pacman. The results of simulations is presented. The presented results show that the proposed method can analysis patterns of gameplay diversely.

Estimation Method of User's Gameplay Skill Level through the Performance of Gameplay Status (게임플레이 상태의 성과를 통한 게임숙련도 평가방법)

  • Chang, Hee-Dong
    • Journal of Korea Game Society
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    • v.17 no.3
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    • pp.21-32
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    • 2017
  • Computer games must keep the user immersed for fun. According to the immersion theory, maintaining the user's immersive state requires a continuous balance of game skill level and game difficulty level This study proposes a game skill estimation method of 9th grade that can be applied to a casual action game that can assume a zero-sum game, and additionally proposed a difficulty guessing method. The proposed methods can be implemented quickly and easily because it is a method determining by conditional mathematical expressions. Experiments on the accuracy of the proposed methods for the customized Pac-Man game show that the accuracy of the skill level was 1.2 grade as the difference on the average and the accuracy of the game difficulty level was 1.81 grade the difference on the average. The results show that the proposed methods are accurate enough to be applied to casual action games satisfying the zero-sum condition.

Analysis of Intertextuality Cases in Games and Animations through "Pix" (를 통한 게임과 애니메이션의 상호텍스트 사례분석)

  • Gwak, E-Sac
    • Journal of Korea Game Society
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    • v.14 no.2
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    • pp.45-54
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    • 2014
  • With the spread of game platforms fueled by the development of smartphones, such classic games as and have been transplanted in smartphone and visual media. Which stirred an issue among gamers because classic games were the materials used. However, there is a lot of room for improvement because it developed from a different viewpoint from the experiences of gamers in many cases. Based on the judgment that the reasons why the experiences of gamers were not reproduced in visual media lay in intertextuality between games and visual media, this study analyzed "Pixels" as a case of good intertexts. The analysis results of intertextuality in the game show that it applied quotation, summary, mending, and satirical travesty to the elements only known to gamers in addition to a simple arrangement of representations and parody, thus succeeding in reproducing the experiences of gamers. It also took into account popular appeal with a fresh direction not familiar to non-gamers.