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Research Of Voice Prompts Based On Ultrosonic And Visual Information Fusion

Posted on:2012-04-09Degree:MasterType:Thesis
Country:ChinaCandidate:B XiangFull Text:PDF
GTID:2218330362452398Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the increasing number of the world's blind and more attention to them, a variety ofdevices came into being to help the blind. Electronic travel aid system, with its easy to carry,simple structure, easy to use advantages, is increasingly becoming the mainstream technology tohelp the blind.The traditional system to help the blind to convey to the blind only obstacle locationinformation and location information, can not inform the blind of specific characteristics of theobstacle to form visual reproduction. For this defect, we construct a voice prompts system basedon ultrasonic and visual information fusion. It fully utilizes the prior knowledge of the blind, andrealized the external environment obstacle information real-time reappearance.In image recognition, in order to overcome the defect that single feature may fail when theexternal environment change, we use the approach of the fusion of ultrasonic and visualinformation to image recognition. Using the ultrasonic wave array survey, according to theminimum range determination principle, judges the orientation of the recent obstacles. That drivethe rotation angle shoted images, filtered, withdrawed the image the color and the shapecharacteristic. According to the object color, shape features in different objects have differentsensitivities, first uses support vector machines to the sole characteristic which withdraws carrieson the classified recognition, and obtains the characteristic weight computation factor, therebydefining feature weighting methods. K nearest neighbor classifier is introduced into the distancefunction, integrated the color and shape features, combined with image database, can achieve theobject recognition.In the voice prompt aspect, the pronunciation content partition record which is going tobroadcast beforehand on the voice chip by segment LCD display unit to read out the contents ofwhich the address. PC will transfer the image recognition results to the voice promptsmicrocontroller circuit, and realize a continuous playback of voice by triggering different voiceaddresses. The procedure was compiled and debuged in KEIL C software, and was downloadedto the microcontroller by running STC-ISP software. Completed, the microcontroller automatically run the program.Based on these studies to bulid the voice prompt system platform, and the voice prompts forthe image effects were tested and evaluated. Experiments show that a prior knowledge in theblind context, the voice prompts system to help blind people achieve good visual representation.
Keywords/Search Tags:regional growth, support vector machines, feature weighting, KNN classification, voice prompts
PDF Full Text Request
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