An Inventive Technique of Fault Recognition and Data Recapture Construction for Gesture Assessment Technology

Authors

  • S. Ravichandran HoD & Professor, Department of Computer Science (PG), Shree Chandraprabhu Jain College, Chennai, Tamil Nadu, India
  • K. Kumaresan Assistant Professor, Department of Computer Science, Shree Chandraprabhu Jain College, Chennai, Tamil Nadu, India
  • R. Geetha Assistant Professor, Department of Computer Science, Shree Chandraprabhu Jain College, Chennai, Tamil Nadu, India

DOI:

https://doi.org/10.51983/ajcst-2021.10.2.3014

Keywords:

EDDR, Movement Estimate, TCG, PE, RQ Code Generator, Cur_Pixel

Abstract

Specified the basic job of movement estimate (ME) inside a cinematic programmer, analyzing such a pattern is of need anxiety. Even though zeroing in upon this analyzing of ME inside a cinematic programming framework, that effort presents an error discovery and data retrieval (EDDR) plan, inside light of this residue and quotient (RQ) program, toward implant obsessed by ME for cinematic programming analyzing requests respectively. A mistake inside processing elements (PEs), for example main parts for a ME, it can be recognized and recuperated adequately through exploiting this projected EDDR plan. The test outcomes establish that this projected EDDR strategy for ME analyzing can discriminate blunders and recuperate information by an OK section above and effectiveness punishment. Critically, this projected EDDR formation achieves sufficiently to the extent that output and unwavering quality for ME analyzing requests respectively.

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Published

01-08-2021

How to Cite

Ravichandran, S., Kumaresan, K., & Geetha, R. (2021). An Inventive Technique of Fault Recognition and Data Recapture Construction for Gesture Assessment Technology. Asian Journal of Computer Science and Technology, 10(2), 20–24. https://doi.org/10.51983/ajcst-2021.10.2.3014

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