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

doi:10.23919/EuCAP53622.2022.9769053

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

^*Tämän työn vastaava kirjoittaja

Huawei Technologies

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

3 Sitaatiot (Scopus)

134 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	2022 16th European Conference on Antennas and Propagation, EuCAP 2022
Kustantaja	IEEE
Sivumäärä	5
ISBN (elektroninen)	978-88-31299-04-6
ISBN (painettu)	978-1-6654-1604-7
DOI - pysyväislinkit	https://doi.org/10.23919/EuCAP53622.2022.9769053
Tila	Julkaistu - 2022
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	European Conference on Antennas and Propagation - Madrid, Espanja Kesto: 27 maalisk. 2022 → 1 huhtik. 2022 Konferenssinumero: 16 https://www.eucap2022.org/

Julkaisusarja

Nimi	Proceedings of the European Conference on Antennas and Propagation
ISSN (painettu)	2164-3342

Conference

Conference	European Conference on Antennas and Propagation
Lyhennettä	EuCAP
Maa/Alue	Espanja
Kaupunki	Madrid
Ajanjakso	27/03/2022 → 01/04/2022
www-osoite	https://www.eucap2022.org/

Pääsy asiakirjaan

10.23919/EuCAP53622.2022.9769053

3_D_Modeling_of_Human_Hands_for_Characterizing_Antenna_Radition_from_a_5G_Mobile_PhoneAccepted author manuscript, 6,1 MB

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Ryynänen, J. (Manager)
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@inproceedings{6cd41db127be42cdb4c674273028cd16,

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

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. ",

keywords = "mm-Waves, Mobile antenna evaluation, User hand effect",

author = "Lauri Vaha-Savo and Pasi Koivumaki and Katsuyuki Haneda and Clemens Icheln and Jingjing Chen",

note = "Publisher Copyright: {\textcopyright} 2022 European Association for Antennas and Propagation.; European Conference on Antennas and Propagation, EuCAP ; Conference date: 27-03-2022 Through 01-04-2022",

year = "2022",

doi = "10.23919/EuCAP53622.2022.9769053",

language = "English",

isbn = "978-1-6654-1604-7",

series = "Proceedings of the European Conference on Antennas and Propagation",

publisher = "IEEE",

booktitle = "2022 16th European Conference on Antennas and Propagation, EuCAP 2022",

address = "United States",

url = "https://www.eucap2022.org/",

}

Vaha-Savo, L, Koivumaki, P, Haneda, K , Icheln, C & Chen, J 2022, 3-D Modeling of Human Hands for Characterizing Antenna Radiation from a 5G Mobile Phone. julkaisussa 2022 16th European Conference on Antennas and Propagation, EuCAP 2022. Proceedings of the European Conference on Antennas and Propagation, IEEE, European Conference on Antennas and Propagation, Madrid, Espanja, 27/03/2022. https://doi.org/10.23919/EuCAP53622.2022.9769053

3-D Modeling of Human Hands for Characterizing Antenna Radiation from a 5G Mobile Phone. / Vaha-Savo, Lauri; Koivumaki, Pasi; Haneda, Katsuyuki et al.
2022 16th European Conference on Antennas and Propagation, EuCAP 2022. IEEE, 2022. (Proceedings of the European Conference on Antennas and Propagation).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

TY - GEN

T1 - 3-D Modeling of Human Hands for Characterizing Antenna Radiation from a 5G Mobile Phone

AU - Vaha-Savo, Lauri

AU - Koivumaki, Pasi

AU - Haneda, Katsuyuki

AU - Icheln, Clemens

AU - Chen, Jingjing

N1 - Conference code: 16

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - mm-Waves

KW - Mobile antenna evaluation

KW - User hand effect

UR - http://www.scopus.com/inward/record.url?scp=85130622152&partnerID=8YFLogxK

U2 - 10.23919/EuCAP53622.2022.9769053

DO - 10.23919/EuCAP53622.2022.9769053

M3 - Conference article in proceedings

AN - SCOPUS:85130622152

SN - 978-1-6654-1604-7

T3 - Proceedings of the European Conference on Antennas and Propagation

BT - 2022 16th European Conference on Antennas and Propagation, EuCAP 2022

PB - IEEE

T2 - European Conference on Antennas and Propagation

Y2 - 27 March 2022 through 1 April 2022

ER -

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

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