Presentation 2021-04-16
Body Posture De-embedding for Channel Modeling of Wireless Body Area Networks
Taito Nishio, Takahiro Aoyagi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, in order to express the time variation of the On-body channel for Wireless Body Area Network, the regression modeling method by Neural Network with the posture as the explanatory variable and the received signal as the objective variable was proposed. S21 of On-body channel with antennas placed on the abdomen and left wrist in the free space at 2.45 GHz was simulated and targeted for modeling. Due to Neural Network, a large number of postured 3D human body models for simulation are required. Therefore, the efficient posture algorithm with an error rate of about 0.245% was proposed. Furthermore, it was confirmed that RMSE can be reduced by more than 1 point compared to others by modeling with Convolutional Neural Network, which can automatically extract features.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Wireless Body Area Network / channel modeling / Neural Network / Posture / De-embedding
Paper # EMCJ2021-4
Date of Issue 2021-04-09 (EMCJ)

Conference Information
Committee EMCJ
Conference Date 2021/4/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) EMC
Chair Kensei Oh(Nagoya Inst. of Tech.)
Vice Chair Atsuhiro Nishikata(Tokyo Inst. of Tech.)
Secretary Atsuhiro Nishikata(Denso)
Assistant Nami Sasaki(Seiwa Electric MFG) / Hiroyoshi Shida(Tokin EMC Engineering) / Sho Muroga(Akita Univ.)

Paper Information
Registration To Technical Committee on Electromagnetic Compatibility
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Body Posture De-embedding for Channel Modeling of Wireless Body Area Networks
Sub Title (in English)
Keyword(1) Wireless Body Area Network
Keyword(2) channel modeling
Keyword(3) Neural Network
Keyword(4) Posture
Keyword(5) De-embedding
1st Author's Name Taito Nishio
1st Author's Affiliation Tokyo Institute of Technology(titech)
2nd Author's Name Takahiro Aoyagi
2nd Author's Affiliation Tokyo Institute of Technology(titech)
Date 2021-04-16
Paper # EMCJ2021-4
Volume (vol) vol.121
Number (no) EMCJ-6
Page pp.pp.15-20(EMCJ),
#Pages 6
Date of Issue 2021-04-09 (EMCJ)