标题: | 人体区域惯性感测网路之多萤幕计算物理电子游戏与重力感测问题 A Multi-Screen Cyber-Physical Game Based on Body-Area Inertial Sensor Networks and Its Gravity Estimation Problem |
作者: | 张元泽 Chang, Yuan-Tse 曾煜棋 Tseng, Yu-Chee 资讯科学与工程研究所 |
关键字: | 计算物理电子游戏;惯性感测器;加速度计;多萤幕;重力加速度;cyber-physical video game;inertial sensor;accelerometer;multi-Screen;gravity |
公开日期: | 2010 |
摘要: | 近年来越来越多人关注如何透过人体区域惯性感测器来感测人体的动作,并将其应用于计算物理电子游戏中。当计算物理电子游戏越来越普及后,探讨如何增加与改善计算物理电子游戏的物理输入(例如:惯性感测器)已经成为一个趋势。基于这样的趋势,我们开发一个部属于人体上之人体区域惯性感测网路来感测人体的姿势及多萤幕的计算物理电子游戏,让玩家可以更真实的体验游戏。我们设计一套多萤幕游戏引擎。其中包含人体区域惯性感测网路平台,计算物理游戏控制器及一组游戏引擎。我们的游戏可以让玩家与虚拟物件互动。 人体追踪系统是基于加速度计。而其中一个基本的议题为,不管人体是否在移动,重力加速度的方向是否可以准确地得到。假设一个人体的刚体上部属多个加速度感测器,近期的研究透过资料融合的法来预测该刚体上的重力加速度方向。然而,如何将加速度感测器部属在最佳的位置来减少预测误差仍然是一个开放问题。在这篇论文中,我们将部属最佳化的问题公式化,展示部属方式的方针及两种部署策略virtual-force-based (VF-based) method 及 Metropolis-based。 Deploying body-area inertial sensor networks on human bodies to capture motions has attracted a lot of interests recently, especially in cyber-physical video games and context aware applications. While video games on the cyber world have been quite popular, enhancing them with more physical inputs, such as those from inertial sensors, is becoming a new trend. Following this trend, we develop a video game integrated with body-area inertial sensor networks deployed on players as inputs and with multiple game screens to broaden players’ views and provide more realistic interaction experiences. Our design simulates a multi-screen game engine by controlling a set of game engines simultaneously. A prototype with a body-area inertial sensor network platform, a cyber-physical game controller, and a set of game engines is demonstrated. The demonstrated game also addresses the interaction between virtual objects and players. Tracking human posture system based on accelerometer. One fundamental issue in such scenarios is how to calculate the gravity, no matter when human body parts are moving or not. Assuming multiple accelerometers being deployed on a rigid part of a human body, a recent work proposes a data fusion method to estimate the gravity on that rigid part. However, how to find the optimal deployment of sensors that minimizes the estimation error of the gravity is still an open problem. In this paper, we formulate the deployment optimization problem, present deployment guidelines, and propose some heuristics, including a virtual-force-based (VF-based) method and a Metropolis-based search method. Experimental results are presented to verify our results. |
URI: | http://140.113.39.130/cdrfb3/record/nctu/#GT079855529 http://hdl.handle.net/11536/48264 |
显示于类别: | Thesis |
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