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Sensors 2017, 17(7), 1490; doi:10.3390/s17071490

A Real-Time Contactless Pulse Rate and Motion Status Monitoring System Based on Complexion Tracking

1
Department of Electronic and Computer Engineering, National Taiwan University of Science and Technology, 10607 Taipei, Taiwan
2
Department of Surgery, National Taiwan University Hospital, 10002 Taipei, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editor: Jari Viik
Received: 3 May 2017 / Revised: 12 June 2017 / Accepted: 20 June 2017 / Published: 24 June 2017
(This article belongs to the Special Issue Advanced Physiological Sensing)
View Full-Text   |   Download PDF [4016 KB, uploaded 24 June 2017]   |  

Abstract

Subject movement and a dark environment will increase the difficulty of image-based contactless pulse rate detection. In this paper, we detected the subject’s motion status based on complexion tracking and proposed a motion index (MI) to filter motion artifacts in order to increase pulse rate measurement accuracy. Additionally, we integrated the near infrared (NIR) LEDs with the adopted sensor and proposed an effective method to measure the pulse rate in a dark environment. To achieve real-time data processing, the proposed framework is constructed on a Field Programmable Gate Array (FPGA) platform. Next, the instant pulse rate and motion status are transmitted to a smartphone for remote monitoring. The experiment results showed the error of the pulse rate detection to be within −3.44 to +4.53 bpm under sufficient ambient light and −2.96 to + 4.24 bpm for night mode detection, when the moving speed is higher than 14.45 cm/s. These results demonstrate that the proposed method can improve the robustness of image-based contactless pulse rate detection despite subject movement and a dark environment. View Full-Text
Keywords: contactless pulse rate measurement; motion detection; complexion tracking; motion index; FPGA contactless pulse rate measurement; motion detection; complexion tracking; motion index; FPGA
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MDPI and ACS Style

Lin, Y.-C.; Chou, N.-K.; Lin, G.-Y.; Li, M.-H.; Lin, Y.-H. A Real-Time Contactless Pulse Rate and Motion Status Monitoring System Based on Complexion Tracking. Sensors 2017, 17, 1490.

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