Name
Abstract | ||
|---|---|---|
In this paper we propose a robust system for touchless heart rate (HR) acquisition on mobile devices. The application allows monitor heart rate signal during usual mobile device usage such as video watching, games playing, article reading etc. The system is based on algorithm of acquiring heart rate via recording of skin color variations with built-in cameras of mobile device. The signal is acquired from different ROIs of human face, which make it more clear and the amplification of the signal improve the robustness in low lightening conditions. The effectiveness and robustness of the developed system has been demonstrated under different distances from camera source and illumination conditions. The experiments have been done with different mobile devices HRs were collected from 10 subjects, ages 22 to 65, by using the 3 devices. Moreover, we compared the developed method with Food and Drug Administration (FDA) approved sensors and related commercial applications of remote heart rate measurements on mobile devices. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1117/12.2083381 | IMAGE PROCESSING: ALGORITHMS AND SYSTEMS XIII |
Keywords | Field | DocType |
Android application, heart rate acquisition, ECG simulator, portable devices, photoplethsymography, video processing | Video processing,Computer science,Real-time computing,Robustness (computer science),Mobile device,Heart rate,Drug administration,Embedded system | Conference |
Volume | ISSN | Citations |
9399 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gagik H. Karapetyan | 1 | 4 | 0.88 |
| r barseghyan | 2 | 0 | 0.34 |
| Hakob Sarukhanyan | 3 | 0 | 1.01 |
| Sos Agaian | 4 | 67 | 16.48 |