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ELECTROACUPUNCTURE SYSTEM USING FUZZY RULES

Published In: 7TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): GEUK LEE , JI-HO CHO

Abstract: Recently, the scientific study from traditional oriental medicine is being progressed. Moreover, through both oriental medicine and western medicine are cooperated with medical examination and treatment, the study in cooperation of merits from oriental medicine as well as from western medicine is progressed. In this paper, we will develop automatic needle shot using fuzzy rules and USN techniques, which a user can choose meridian pathways from the menu items built in the cellular phone, so it can perceive patient's body conditions and launch an aneurysm electric pressure of a cycle.

  • Publication Date: 24-Sep-2017
  • DOI: 10.15224/978-1-63248-134-4-34
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ANALYSIS OF SPATIO-TEMPORAL DYNAMIC PATTERNS OF GAIT FOR RECOGNITION

Published In: 7TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, CONTROL AND NETWORKING
Author(s): SONIA DAS , SUKADEV MEHER , UPENDRA KUMAR SAHOO

Abstract: This work presents a five-phase automatic gait recognition method that analyzes the spatiotemporal shape and dynamic motion (STS-DM) characteristics of a human subject's silhouette to identify the subject in the presence of many challenging factors that affect gait. Phase-1 describes Krawtchouk Moments for feature extraction; phase-2 describes phase weighted magnitude spectra of the Fourier descriptor of a silhouette. Phase-3 gives a full body shape and motion analysis using ellipses. In Phase-4, dynamic time warping is used to analyze thigh angle rotation pattern. In phase-5 DHT based height varying signal pattern is analyzed. Five phases are fused to give a robust identification system.

  • Publication Date: 24-Sep-2017
  • DOI: 10.15224/978-1-63248-134-4-40
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