Ica Based Non Contact Heart Rate Measurement
Sathananthavathi V1, Abhilash A2, Suthipathran S3
1V.Sathananthavathi, Assistant Professor, Department of Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India.
2A.Abhilash, BE. Studied, Department of ECE, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India.
3S.Suthipathran, BE. Studied, Department of ECE, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 323-327 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3580048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In the time of robotization, a programmed and non invasive instrument is required for everyday wellbeing checking. Heart beat is one of the imperative physiological parameters has drawn consideration of specialists for its measurement .In this article a methodology for cardiovascular heartbeat measurement, using a ordinary webcam is proposed. In the presented approach, face region is detected and RGB traces are found for the face region. Independent component analysis is used for the linear source separation of signals and the FFT is applied on the selected traces to calculate power spectrum of the individual traces and heart rate is estimated based on the emotion based measurement.
Keyword: ICA (Independent Component Analysis), RGB Splitter, ROI (Region of Interest, BPM (Beats Per Minute).
Scope of the Article: Measurement & Performance Analysis