High Speed Algorithm for Arithmetic Operations Performed For Feature Extraction in Activity Recognition

Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 5

Abstract

Human activity recognition is one of the most promising research topics for a variety of areas, including pervasive and mobile computing [1] [2], surveillance-based security [3], context-aware computing and ambient assistive living. It has, recently, received growing attention attributing to the intensive thrusts from the latest technology development and application demands. Over the past decade, sensor technologies, especially low-power, low-cost, high-capacity, and miniaturized sensors, wired and wireless communication networks and data processing techniques have made substantial progress. The advances and maturity of these supporting technologies have pushed the research focuses of the aforementioned areas to shift from low-level data collection and transmission toward high-level information integration, context processing, and activity recognition and inference. At the same time, solutions for a number of real-world problems have become increasingly reliant on activity recognition.Through this paper we have presented cordic based basic arithmetic operations required for feature extraction used as main block in Activity recognition.

Authors and Affiliations

Supriya Kurlekar

Keywords

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  • EP ID EP397280
  • DOI -
  • Views 63
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How To Cite

Supriya Kurlekar (2018). High Speed Algorithm for Arithmetic Operations Performed For Feature Extraction in Activity Recognition. International Journal of Engineering and Science Invention, 7(5), 47-55. https://europub.co.uk/articles/-A-397280