本文選題：場景感知 + 日志記錄��； 參考：《電子科技大學》2017年碩士論文

【摘要】：生活場景感知是以某種技術手段對生活場景中的信號或事件進行捕獲、識別的過程。生活場景感知通過記錄生活中的細節(jié)信息,增強了用戶的記憶能力。傳統(tǒng)的事件記錄方式為手寫記錄或電腦記錄,這些手段雖然能夠記錄生活中的重要事件,但存在著記錄時間不連續(xù)、操作時耗費大量人力的問題�，F(xiàn)在由于可穿戴、移動多媒體技術的發(fā)展,通過電子手段能夠實時地捕獲生活場景中的細節(jié)信息。本課題研究的是基于多傳感信號采集的生活場景感知系統(tǒng),應用系統(tǒng)最終實現(xiàn)對生活場景中具體情境的感知與回放。具體研究工作包括:1.應用系統(tǒng)的硬件平臺搭建。在分析了系統(tǒng)功能需求的基礎上,搭建硬件平臺,硬件平臺包括ARM核心處理器模塊、多路傳感器,并在核心平臺上對硬件驅動等進行了調(diào)試。2.設計系統(tǒng)的軟件采集模塊。采集模塊的功能主要包括對位置信息的采集、光照信息的采集、音頻信息的采集等。3.數(shù)據(jù)庫的設計。設計數(shù)據(jù)庫對信息進行存儲,其中位置信息直接存儲,光強信息簡單分類后加以存儲,聲音信息特征提取后進行存儲。4.聲音識別與分類算法的設計。針對提取到的聲音MFCC特征和基頻特征,采用貝葉斯網(wǎng)絡算法對聲音信息進行分類。5.基于時間檢索的實現(xiàn)。通過對時間維的檢索,系統(tǒng)將同一時刻的多路信息相應的表征狀態(tài)調(diào)入檢索入口。6.系統(tǒng)感知模塊的實現(xiàn)。實現(xiàn)位置識別、光強分類、聲音分類模塊、具體情境感知模塊的設計。7.設計可視化的交互界面。由wxpython編寫出可視化的交互界面,通過對檢索入口的加載,界面中將顯示對相關信息的檢索結果。8.系統(tǒng)測試與實驗。在系統(tǒng)設計的最后,對系統(tǒng)的性能進行了測試,接著設計了幾組實驗:聲音識別的測試、位置對應的測試、光強識別的測試及信息檢索的實驗。生活場景感知應用系統(tǒng)實現(xiàn)了對生活場景具體情境感知的目標,即實現(xiàn)了信號的采集、存儲、分類識別、感知、查詢與顯示等功能。
[Abstract]:Life scene perception is the process of capturing and recognizing the signals or events in the life scene by some technical means. Life scene perception enhances the user's memory ability by recording the details of life. The traditional method of recording events is handwritten records or computer records. Although these methods can record important events in life, they have the problem of discontinuous recording time and consuming a lot of manpower in operation. Now, with the development of wearable and mobile multimedia technology, the details of life scenes can be captured in real time by electronic means. This paper studies the life scene perception system based on multi-sensor signal acquisition. The application system finally realizes the perception and playback of the specific situation in the life scene. Specific research work includes: 1. The hardware platform of the application system is built. Based on the analysis of the functional requirements of the system, a hardware platform is built. The hardware platform includes ARM core processor module, multiple sensors, and the hardware driver is debugged on the core platform. The software acquisition module of the system is designed. The functions of the acquisition module mainly include the collection of position information, the collection of illumination information, the acquisition of audio information, etc. Database design. The design database stores the information, in which the position information is stored directly, the light intensity information is stored after simple classification, and the sound information feature is extracted and stored. Design of sound recognition and classification algorithm. According to the extracted MFCC features and fundamental frequency features, Bayesian network algorithm is used to classify the sound information. 5. Implementation of time-based retrieval. By retrieving the time dimension, the system transfers the representation state of the multi-channel information at the same time to the retrieval entry. 6. The realization of system perception module. Realization of position recognition, light intensity classification, sound classification module, specific situational awareness module design. 7. Design visual interactive interface. The visual interactive interface is written by wxpython. By loading the retrieval entry, the retrieval results of relevant information. 8. 8 will be displayed in the interface. System test and experiment. At the end of the system design, the performance of the system is tested, and then several experiments are designed: the test of sound recognition, the test of position correspondence, the test of light intensity recognition and the experiment of information retrieval. The life scene perception application system realizes the target of the life scene specific situation perception, namely realizes the signal collection, the storage, the classification identification, the perception, the inquiry and the display and so on.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP274.2

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本文編號：1970799