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)
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-TextKeywords:
contactless pulse rate measurement; motion detection; complexion tracking; motion index; FPGA
▼
Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Share & Cite This Article
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.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.