naa a22 4500 510796745 CHVBK 20180411083339.0 cr unu---uuuuu 180411e20131201xx s 000 0 eng 10.1007/s11277-013-1193-x doi (NATIONALLICENCE)springer-10.1007/s11277-013-1193-x A Statistical Model for the Influence of Body Dynamics on the Gain Pattern of Wearable Antennas in Off-Body Radio Channels [Elektronische Daten] [Michal Mackowiak, Luis Correia] The goal of this paper is to address a statistical approach for modelling the influence of body dynamics on the gain pattern of wearable antennas in Body Area Networks, particularly in off-body radio channels. A dynamic model was developed based on Motion Capture data, describing a realistic human body movement. Antennas are located on 4 typical positions (i.e., Head, Chest, Arm and Leg), for which statistics of antenna orientation (i.e., average and standard deviation of elevation and azimuth angles) were calculated for 2 dynamic scenarios, i.e., Walk and Run. Based on the rotation of the antenna, the statistics of gain patterns of a wearable patch antenna operating at 2.45GHz were calculated. The standard deviation of the change in the antenna orientation is the highest for the Arm location, reaching $$19^{\circ }$$ 19 ∘ and $$37^{\circ }$$ 37 ∘ for the Run scenario, for elevation and azimuth angles, respectively. For most of the scenarios, the distribution of the change in antenna orientation fits well to a Kumaraswamy distribution (using the $$\chi ^2_{95\,\%}$$ χ 95 % 2 test). For all antenna positions and the Walk scenario, the standard deviation is $$<4^{\circ }$$ < 4 ∘ . Springer Science+Business Media New York, 2013 Body dynamics nationallicence Body area networks nationallicence Statistical radiation pattern nationallicence Channel models nationallicence Mackowiak Michal INOV-INESC, Instituto Superior Técnico, Technical University of Lisbon, Lisbon, Portugal aut Correia Luis INOV-INESC, Instituto Superior Técnico, Technical University of Lisbon, Lisbon, Portugal aut Wireless Personal Communications Springer US; http://www.springer-ny.com 73/3(2013-12-01), 381-399 0929-6212 73:3<381 2013 73 11277 https://doi.org/10.1007/s11277-013-1193-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1193-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Mackowiak Michal INOV-INESC, Instituto Superior Técnico, Technical University of Lisbon, Lisbon, Portugal aut NATIONALLICENCE 700 1- Correia Luis INOV-INESC, Instituto Superior Técnico, Technical University of Lisbon, Lisbon, Portugal aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 73/3(2013-12-01), 381-399 0929-6212 73:3<381 2013 73 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer