Smartphone-Based Sensors

被引：12
|
作者：
Gao, Xuefei [1 ]
Wu, Nianqiang [1 ,2 ,3 ,4 ,5 ]
机构：
[1] West Virginia Univ, Morgantown, WV 26506 USA
[2] West Virginia Univ, Dept Mech & Aerosp Engn, Mat Sci, Morgantown, WV USA
[3] Univ Pittsburgh, Pittsburgh, PA 15260 USA
[4] Northwestern Univ, Keck Surface Sci Ctr, Evanston, IL 60208 USA
[5] Electrochem Soc, Sensor Div, Pennington, NJ USA
来源：
ELECTROCHEMICAL SOCIETY INTERFACE | 2016年 / 25卷 / 04期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1149/2.F07164if
中图分类号：
O646 [电化学、电解、磁化学];
学科分类号：
081704 ;
摘要：
Smartphones are finding increasing applications in sensors. Smartphones can be used as the sensing signal reader and the sensing transducer, or to enable sensors via a wireless network. In addition, sensors can be combined with the global positioning system (GPS) in the smartphone to allow positioning of sensing and mapping of target analytes. Therefore, portable smartphone-based sensor (SPS) systems have great potential for field-deployable or point-of-care applications. This article presents recent progress in the SPS system development. © The Electrochemical Society. All rights reserved.
引用
收藏
页码：79 / 81
页数：3
相关论文
共 50 条
  • [31] Development of a Smartphone-based Pupillometer
    Kim, Tae-Hoon
    Youn, Jong-In
    [J]. JOURNAL OF THE OPTICAL SOCIETY OF KOREA, 2013, 17 (03) : 249 - 254
  • [32] SmartCAMPP- Smartphone-based continuous authentication leveraging motion sensors with privacy preservation
    Hernandez-Alvarez, Luis
    Maria de Fuentes, Jose
    Gonzalez-Manzano, Lorena
    Hernandez Encinas, Luis
    [J]. PATTERN RECOGNITION LETTERS, 2021, 147 : 189 - 196
  • [33] Logistic Model Tree for Human Activity Recognition Using Smartphone-Based Inertial Sensors
    Nematallah, H.
    Rajan, S.
    Cretu, A. -M.
    [J]. 2019 IEEE SENSORS, 2019,
  • [34] Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection with Supervised Learning
    Antonio Santoyo-Ramon, Jose
    Casilari, Eduardo
    Manuel Cano-Garcia, Jose
    [J]. SENSORS, 2018, 18 (04)
  • [35] Virtual Respiratory Rate Sensors: An Example of A Smartphone-Based Integrated and Multiparametric mHealth Gateway
    Crema, Claudio
    Depari, Alessandro
    Flammini, Alessandra
    Sisinni, Emiliano
    Vezzoli, Angelo
    Bellagente, Paolo
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2017, 66 (09) : 2456 - 2463
  • [36] EcoSim: A Smartphone-Based Sensor-Node Emulator with Native Sensors and Protocol Stack
    Kao, Chung-Yi
    Lee, Cheng-Ting
    Yeh, Yu-Hung
    Sung, Jui-Feng
    Chou, Pai H.
    [J]. 2019 INTERNATIONAL SYMPOSIUM ON VLSI DESIGN, AUTOMATION AND TEST (VLSI-DAT), 2019,
  • [37] Improved Smartphone-Based Indoor Localization System Using Lightweight Fingerprinting and Inertial Sensors
    Subedi, Santosh
    Kim, Dae-Ho
    Kim, Beom-Hun
    Pyun, Jae-Young
    [J]. IEEE ACCESS, 2021, 9 : 53343 - 53357
  • [38] Trends in smartphone-based indoor localisation
    Potorti, Francesco
    Crivello, Antonino
    Palumbo, Filippo
    Girolami, Michele
    Barsocchi, Paolo
    [J]. INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN 2021), 2021,
  • [39] Smartphone-based Augmented Reality Systems
    Lv, Chaohui
    Yang, Xingyun
    Yang, Shuai
    [J]. 2018 11TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2018), 2018,
  • [40] Smartphone-based colorimetric detection of glutathione
    Vobornikova, Irena
    Pohanka, Miroslav
    [J]. NEUROENDOCRINOLOGY LETTERS, 2016, 37 : 139 - 143
12345