portable device
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2022 ◽  
Vol 425 ◽  
pp. 127981
Author(s):  
Jie Fu ◽  
Lei Zhang ◽  
Shuang-Long Wang ◽  
Wen-Li Yuan ◽  
Guo-Hao Zhang ◽  
...  
Keyword(s):  

Lab on a Chip ◽  
2022 ◽  
Author(s):  
Kaisong Yuan ◽  
Victor de la Asunción-Nadal ◽  
Carmen Cuntín Abal ◽  
Beatriz Jurado Sánchez ◽  
Alberto Escarpa

Herein, we describe the design of a portable device integrating micromotors for real-time fluorescence sensing of (bio)markers. The system compromises a universal 3D printed platform to hold a commercial smartphone,...


2022 ◽  
Vol 207 ◽  
pp. 114399
Author(s):  
Rosecler Scacchetti Klein ◽  
Maiara Mitiko Taniguchi ◽  
Patricia Daniele dos Santos ◽  
Elton Guntendorfer Bonafe ◽  
Alessandro Francisco Martins ◽  
...  

Lab Animal ◽  
2021 ◽  
Author(s):  
Qi Wu ◽  
Zhen Xing ◽  
Shunhuang Luo ◽  
Bin Chen ◽  
Xin Yu ◽  
...  

2021 ◽  
Vol 252 ◽  
pp. 111386
Author(s):  
Armin Amirazar ◽  
Mona Azarbayjani ◽  
Maziyar Molavi ◽  
Morteza Karami

2021 ◽  
Vol 18 ◽  
pp. 100275
Author(s):  
Marcos Rogozinski ◽  
Carlos Roberto Hall Barbosa ◽  
Elisabeth Costa Monteiro

2021 ◽  
Vol 2096 (1) ◽  
pp. 012118
Author(s):  
A V Grecheneva ◽  
N V Dorofeev ◽  
M S Goryachev

Abstract The article considers the possibility of biometric authentication based on gait parameters, which are obtained after intelligent processing of the accelerometer data of a wearable device. The article discusses the main trends and trends in the field of biometric authentication, as well as authentication by gait parameters. The developed neural network algorithm and informative parameters are described in the authentication procedure based on the data of a single sensor of a portable device. The practical verification of the proposed approach is carried out on 32 subjects of different physiology. The results of the study show the possibility of distinguishing their own movements in 100% of cases, and the distinction of the subjects is more than 90%. Also, the final part of the article provides the requirements for the authentication procedure when processing accelerometric data of gait biometrics, the level of trust of the developed algorithm is determined.


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