| Summary: | 碩士 === 國立虎尾科技大學 === 資訊工程研究所 === 99 === Today, there are many multimedia player devices and display devices in the environment. The predefined content is provided which may be the same service and information for different users. In other words, this types of information service cannot provide personalized and differentiated services for different users. In addition, user needs to restart the system to get multimedia services when user moves to different location or region. In other words, the original or current multimedia services provided to the user will be cancelled when user moves to different location or region. It means that this type system cannot provide seamless multimedia services to users.
Recently, localization technology and related applications were improved due to technology rapid development. The localization technology can be divided into two types: indoor localization and outdoor localization. The most popular outdoor localization is Global Positioning System (GPS). GPS system is widely used in automobile navigation and positioning system. However, satellite signals cannot receive in indoor environment or the quality of satellite signals is low. Therefore, to enhance the utilization of indoor localization, Radio Frequency Identification (RFID) can be used as the popular wireless induction system. RFID technology has a lot of advantages such as long read range, untouched write and read, multiple tag read/write, and low cost of deployment.
In this thesis, RFID Seamless Personal Multimedia Service Based on Considering Received Signal Strength Indication is proposed which consists of a mobility prediction method and the RFID system. The proposed service integrates RFID system for user identification. Via Received Signal Strength Indication (RSSI) signal value as mobility prediction method, the mobility or location can be evaluated and predicted. First, based on RFID technology, user’s tag can be identified. Then, according to RSSI signal value of the specific tag, user''s relative position in the induction environment can be evaluated. At last, the moving distance and direction can be calculated in unit time for predicting next moving position.
In addition to RFID system, the database stores users’ on demand multimedia setting and relation information. Since RFID technology can identify different users, the proposed system provides personalization multimedia services to individual user according to each user''s information recorded in database.
Furthermore, since the location of user can be predicted, the location information can be used to implement seamless personalization multimedia service. User can get personalization multimedia service in induction environment anywhere. In other words, the multimedia service needn’t to be cancelled or restarted even user moves.
By using the proposed system, user can get personal service according to user needs, instead of general unfiltered services. By using RSSI signal to process mobility prediction, system prediction accuracy of user move location can be increased. System can command next region multimedia player or device to preload data related user tag before user moving to next region.
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