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Toni Bjorninen

Researcher at University of Tampere

Publications -  167
Citations -  3777

Toni Bjorninen is an academic researcher from University of Tampere. The author has contributed to research in topics: Antenna (radio) & Ultra high frequency. The author has an hindex of 31, co-authored 167 publications receiving 3119 citations. Previous affiliations of Toni Bjorninen include City University of Hong Kong & Tampere University of Technology.

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Journal ArticleDOI

Radiation Efficiency Measurement Method for Passive UHF RFID Dipole Tag Antennas

TL;DR: A radiation efficiency measurement method is developed and verified for passive ultra-high frequency (UHF) RFID dipole tag antennas and applied to measure the radiation efficiency of sewed dipoles tag antennas for wearable body-centric wireless communication applications.
Proceedings ArticleDOI

Impact of recurrent stretching on the performance of electro-textile UHF RFID tags

TL;DR: The simulation-based design of the antenna composed of this unconventional conductor based on a textile antenna patterned from stretchable silver coated fabric is outlined and the measured performance of the tag when attached to a shirt and worn in the upper arm is reported.
Proceedings ArticleDOI

Embroidered passive UHF RFID tag on flexible 3D printed substrate

TL;DR: The stability of the results show that this hybrid fabrication methodology offers an easy, quick, and cost-effective approach for manufacturing RFID tags for future wearable identification and sensing applications.

Comparison of Three Body Models of Different Complexities in Modelling of Equal-Sized Dipole and Folded Dipole Wearable Passive UHF RFID Tags

TL;DR: This work compares the performance of equal-sized dipole and folded dipole wearable passive UHF RFID tags using three different body models for the torso of an adult male: cuboid and anatomical models with and without internal structures.
Journal ArticleDOI

A New Approach and Analysis of Modeling the Human Body in RFID-Enabled Body-Centric Wireless Systems

TL;DR: In this article, the human body model is used to model the impact of human body effects on the tag performance in a UHF RFID body-centric wireless system, which is based on measured far-field response from a reference tag attached to the body.