This thesis mainly focuses on the research of gesture extraction and finger segmentation in the gesture recognition. In this paper, we used image analysis technologies to create an application by encoding in Matlab program. We used this application to segment and extract the finger from one specific gesture (the gesture "one") and ran successfully. We explored the success rate of extracting the characteristic of the specific gesture "one" in different natural environments. We divided the natural environment into three different conditions which are glare and dark condition, similar object condition and different distances condition, then collected the results to calculate the successful extraction rate. We also evaluated and analyzed the inadequacies and future works of this application. / Technology
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hig-17367 |
| Date | January 2014 |
| Creators | Chaofan, Hao, Haisheng, Yu |
| Publisher | Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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