Sensors 2012, 12(12), 17569-17587; doi:10.3390/s121217569

Dynamic Propagation Channel Characterization and Modeling for Human Body Communication

1,2email, 3email, 1,2email, 1,2email and 1,2,* email
Received: 15 November 2012; in revised form: 12 December 2012 / Accepted: 13 December 2012 / Published: 18 December 2012
(This article belongs to the Special Issue Body Sensor Networks for Healthcare and Pervasive Applications)
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.
Abstract: This paper presents the first characterization and modeling of dynamic propagation channels for human body communication (HBC). In-situ experiments were performed using customized transceivers in an anechoic chamber. Three HBC propagation channels, i.e., from right leg to left leg, from right hand to left hand and from right hand to left leg, were investigated under thirty-three motion scenarios. Snapshots of data (2,800,000) were acquired from five volunteers. Various path gains caused by different locations and movements were quantified and the statistical distributions were estimated. In general, for a given reference threshold è = −10 dB, the maximum average level crossing rate of the HBC was approximately 1.99 Hz, the maximum average fade time was 59.4 ms, and the percentage of bad channel duration time was less than 4.16%. The HBC exhibited a fade depth of −4 dB at 90% complementary cumulative probability. The statistical parameters were observed to be centered for each propagation channel. Subsequently a Fritchman model was implemented to estimate the burst characteristics of the on-body fading. It was concluded that the HBC is motion-insensitive, which is sufficient for reliable communication link during motions, and therefore it has great potential for body sensor/area networks.
Keywords: human body communication; dynamic channel model; propagation; statistical analysis; motion-insensitive; Fritchman model
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MDPI and ACS Style

Nie, Z.; Ma, J.; Li, Z.; Chen, H.; Wang, L. Dynamic Propagation Channel Characterization and Modeling for Human Body Communication. Sensors 2012, 12, 17569-17587.

AMA Style

Nie Z, Ma J, Li Z, Chen H, Wang L. Dynamic Propagation Channel Characterization and Modeling for Human Body Communication. Sensors. 2012; 12(12):17569-17587.

Chicago/Turabian Style

Nie, Zedong; Ma, Jingjing; Li, Zhicheng; Chen, Hong; Wang, Lei. 2012. "Dynamic Propagation Channel Characterization and Modeling for Human Body Communication." Sensors 12, no. 12: 17569-17587.

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