3-D Modeling of Human Hands for Characterizing Antenna Radiation from a 5G Mobile Phone

Lauri Vaha-Savo*, Pasi Koivumaki, Katsuyuki Haneda, Clemens Icheln, Jingjing Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)
41 Downloads (Pure)

Abstract

A method to obtain the three-dimensional (3D) model of a hand for an antenna-hand interaction analysis of a mobile phone is presented. The radiation and reception performance of millimeter-wave signals is more susceptible to intervention by a user's hand than that of legacy below-6 GHz radios. Hand models representing a wide range of natural handgrips of mobile phone users are therefore essential. The 3D modeling is based on the photogrammetry using a video footage of a hand. Multiple 3D models of natural handgrips can be obtained with reasonable efforts. The radiation performance of a canonical antenna array implemented into a mobile phone sized chassis is evaluated using a developed series of 3D hand models, showing the uncertainty of repeatable antenna-hand interaction analyses.

Original languageEnglish
Title of host publication2022 16th European Conference on Antennas and Propagation, EuCAP 2022
PublisherIEEE
Number of pages5
ISBN (Electronic)978-88-31299-04-6
ISBN (Print)978-1-6654-1604-7
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Article in a conference publication
EventEuropean Conference on Antennas and Propagation - Madrid, Spain
Duration: 27 Mar 20221 Apr 2022
Conference number: 16
https://www.eucap2022.org/

Publication series

NameProceedings of the European Conference on Antennas and Propagation
ISSN (Print)2164-3342

Conference

ConferenceEuropean Conference on Antennas and Propagation
Abbreviated titleEuCAP
Country/TerritorySpain
CityMadrid
Period27/03/202201/04/2022
Internet address

Keywords

  • mm-Waves
  • Mobile antenna evaluation
  • User hand effect

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