RGB-LED-based Optical Camera Communication using Multilevel Variable Pulse Position Modulation for Healthcare Applications
0
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
In this paper, a 32-variable pulse position modulation (32-VPPM) scheme is proposed to support a red-green-blue light-emitting-diode (RGB-LED)-based optical camera communication (OCC) system. Our proposed modulation scheme is designed to enhance the OCC data transmission rate, which is targeted for the wearable biomedical data monitoring system. The OCC technology has been utilizedas an alternative solution to the radio frequency (RF) wireless system for long-term self-healthcare monitoring. Different biomedical sig-nals, such as electrocardiograms, photoplethysmograms, and respiration signals are being monitored and transmitted wirelessly from thewearable biomedical device to the smartphone receiver. A common 30 frames per second (fps) smartphone camera with a CMOS image sensor is used to record a transmitted optical signal. Moreover, the overall proposed system architecture, modulation scheme, and datademodulation are discussed in this paper. The experimental result shows that the proposed system is able to achieve > 9 kbps using onlya common smartphone camera receiver.
Abstract
In this paper, a 32-variable pulse position modulation (32-VPPM) scheme is proposed to support a red-green-blue light-emitting-diode (RGB-LED)-based optical camera communication (OCC) system. Our proposed modulation scheme is designed to enhance the OCC data transmission rate, which is targeted for the wearable biomedical data monitoring system. The OCC technology has been utilizedas an alternative solution to the radio frequency (RF) wireless system for long-term self-healthcare monitoring. Different biomedical sig-nals, such as electrocardiograms, photoplethysmograms, and respiration signals are being monitored and transmitted wirelessly from thewearable biomedical device to the smartphone receiver. A common 30 frames per second (fps) smartphone camera with a CMOS image sensor is used to record a transmitted optical signal. Moreover, the overall proposed system architecture, modulation scheme, and datademodulation are discussed in this paper. The experimental result shows that the proposed system is able to achieve > 9 kbps using onlya common smartphone camera receiver.
참고문헌 (12)
- J. Y. An, "A novel indoor healthcare with time hopping-based visible light communication", Proc. IEEE 3rd World Forum on Internet of Things (WF-IOT), pp.19~23 (2016)
- Y. S. Kuo, "Luxapose: Indoor positioning with mobile phones and visible light", Proc. ACM 20th Annual International Conference on Mobile Computing and Networking (MobiCom), pp.447~458 (2014)
- R. Boubezari, "Smartphone Camera Based Visible Light Communication", J. of Lightwave Tech., 34(17), pp.4121~4127 (2016)[DOI]
- J. Y. An, "Single cell threechannel wavelength division multiplexing in visible light communication", Opt. Express, 25, pp.25477~25485 (2017)[DOI]
- W. A. Cahyadi, "Patient monitoring using visible light uplink data transmission", Proc. International Symposium on IEEE Intelligent Signal Processing and Communication Systems (ISPACS), pp.431~434 (2015)
- P. Luo, "Undersampled Phase Shift ON-OFF Keying for Camera Communication", Proc. of IEEE Wireless Communications and Signal Processing (WCSP), pp.1~6 (2014)
- V. P. Rachim, "Demonstration of long-distance hazard-free wearable EEG monitoring system using mobile phone visible light communication", Opt. Express, 25, pp.713~719 (2017)[DOI]
- T. Nguyen, "High-speed asynchronous Optical Camera Communication using LED and rolling shutter camera", Proc. Seventh International Conference on Ubiquitous and Future Networks, Sapporo (ICUFN), pp.214~219 (2015)
- P. Luo, "Experimental Demonstration of a 1024-QAM Optical Camera Communication System", IEEE Photonics Tech. Let., 28(2), pp.139~142 (2016)[DOI]
- K. Liang, "RGB visible light communication using mobile-phone camera and multi-input multi-output", Opt. Express, 24(9), pp.9383~9388 (2016)[DOI]
- M. Saeed, "Multiparameter intelligent monitoring in intensive care II (MIMIC-II): A public-access ICU database", Crit. Care. Med., 39(5), pp.952~960 (2011)[DOI]
- A. L. Goldberger, "PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals", Circulation, 101(23), pp.E215~E220 (2000)[DOI]