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Research On Information Processing And Datafusion Algorithm Based On Wearable Technology

Posted on:2016-11-25Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhaoFull Text:PDF
GTID:2298330467457452Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
With the rapid development of electronic information industry, intelligent wearabletechnology gradually comes into people’s lives for its information, intelligence, easy to carry,and other advantages. Whether in the health care industry or in the rescue field it has a veryimportant practical value. However, currently most wearable device is still in the basic researchstage, some forming the technological content of products is not enough, not the user just needto, product prices artificially high.In this regard, the subject has designed a complete environmental parameters and thephysiological parameters monitored wearable information monitoring systems based onwearable technology information processing and data integration algorithms. The systemcombines the advantages of technology and clothing art and design with wireless sensornetworks, breaking the limitations of traditional costume design; While using a wireless sensornetwork technology to monitor regional comprehensive, efficient, economical arrangementmonitoring nodes can be freed people from the line complex and restricted wired device, so thatthe wearer has a higher level of activity and flexibility.In this paper, using VS2010,.NET, SQL2008, IAR and other software platforms, carriedout software and hardware information processing and analysis for apparel architecture, theheart rate acquisition module, PC online information monitoring of the system; Throughanalyzing the data from three-axis direction of the acceleration sensor module, we use a singlefall acceleration sensor algorithm to make a basic recognition; To eliminate misjudgmentcaused by suddenly bend sports proposed a fall detection algorithm based on secondaryjudgment; Combined with data fusion theory of the human body gesture recognition algorithmbased on SVM classification algorithm, which provides a good generalization ability forclassification problems; To reduce noise interference to radio signals, we use a Kalman filter on different poses of human body to improve the accuracy of discrimination.This paper combines the advantages of information management platform whileintroducing hardware control platforms and serial communication to make a online informationmonitoring system, it can truly real-time remote monitoring and user management functionsinformation for each wireless, is expected to achieve a good result. Smart wearable device as ahot spot under the intelligent terminal industry has been widely accepted by the market;wearable devices will drive development of the industry, and open up a broader market.
Keywords/Search Tags:wearable, pulse acquisition, gesture recognition, data fusion, real-timemonitoring, information processing
PDF Full Text Request
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