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类型外文文献翻译——基于热释电红外传感器的智能家居室内感应定位系统.doc

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    外文 文献 翻译 基于 热释电 红外传感器 智能家居 室内 感应 定位 系统
    资源描述:
    S. Lee et al.: A Pyroelectric Infrared Sensor-based Indoor Location-Aware System for the Smart Home
    A Pyroelectric Infrared Sensor-based Indoor Location-Aware System for the Smart Home
    Suk Lee, Member, IEEE, Kyoung Nam Ha, Kyung Chang Lee, Member, IEEE
    Abstract — Smart home is expected to offer various intelligent services by recognizing residents along with their life style and feelings. One of the key issues for realizing the smart home is how to detect the locations of residents. Currently, the research effort is focused on two approaches: terminal-based and non-terminal-based methods. The terminal -based method employs a type of device that should be carried by the resident while the non-terminal-based method requires no such device. This paper presents a novel non-terminal-based approach using an array of pyroelectric infrared sensors (PIR sensors) that can detect residents. The feasibility of the system is evaluated experimentally on a test bed.
    Index Terms — smart home, location-based service, pyroelectric infrared sensor (PIR sensor), location-recognition algorithm
    I. INTRODUCTION
    There is a growing interest in smart home as a way to offer a convenient, comfortable, and safe residential environment [1], [2]. In general, the smart home aims to offer appropriate intelligent services to actively assist in the resident’s life such as housework, amusement, rest, and sleep. Hence, in order to enhance the resident’s convenience and safety, devices such as home appliances, multimedia appliances, and internet appliances should be connected via a
    home network system, as shown in Fig. 1, and they should be controlled or monitored remotely using a television (TV) or personal digital assistant (PDA) [3], [4].
    Fig. 1. Architecture of the home network system for smart home
    Especially, attention has been focused on location-based services as a way to offer high-quality intelligent services, while considering human factors such as pattern of living, health, and feelings of a resident [5]-[7]. That is, if the smart home can recognize the resident’s pattern of living or health, then home appliances should be able to anticipate the resident’s needs and offer appropriate intelligent service more actively. For example, in a passive service environment, the resident controls the operation of the HVAC (heating, ventilating, and air conditioning) system, while the smart home would control the temperature and humidity of a room according to the resident’s condition. Various indoor location-aware systems have been developed to recognize the resident’s location in the smart home or smart office. In general, indoor location-aware systems have been classified into three types according to the measurement technology: triangulation, scene analysis, and proximity methods [8]. The triangulation method uses multiple distances from multiple known points. Examples include Active Badges [9], Active Bats [10], and Easy Living [11], which use infrared sensors, ultrasonic sensors, and vision sensors, respectively. The scene analysis method examines a view from a particular vantage point. Representative examples of the scene analysis method are MotionStar [12], which uses a DC magnetic tracker, and RADAR [13], which uses IEEE 802.11 wireless local area network (LAN). Finally, the proximity method measures nearness to a known set of points. An example of the proximity method is Smart Floor [14], which uses pressure sensors.<
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    本文标题:外文文献翻译——基于热释电红外传感器的智能家居室内感应定位系统.doc
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