Performance Comparison of Low-cost Hardware Platforms Targeting Physiological Computing Applications

被引：13

作者：

Guerreiro, Jose ^{[1
,2
]}

Lourenco, Andre ^{[1
,2
]}

Silva, Hugo ^{[2
]}

Fred, Ana ^{[2
]}

机构：

[1] Inst Super Engn Lisboa, P-1959007 Lisbon, Portugal

[2] Inst Super Tecn, Inst Telecomunicacoes, P-1049001 Lisbon, Portugal

来源：

CONFERENCE ON ELECTRONICS, TELECOMMUNICATIONS AND COMPUTERS - CETC 2013 | 2014年 / 17卷

关键词：

Biosignals; Physiological Computing; Do-it-Yourself (DiY); Arduino; BITalino;

D O I：

10.1016/j.protcy.2014.10.204

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Although the Arduino is currently the most popular low-cost hardware platform within the Do-it-Yourself (DiY) community, it is not designed taking into account the specific requirements of physiological computing. As a result of previous work by our group, a novel hardware framework for physiological computing, entitled BITalino, was proposed, to allow anyone to create their own projects and applications with biosignal sensors. In this work, we benchmark the Arduino and BITalino platforms, targeting the evaluation of their performance for the purpose of biosignals acquisition. We also describe a few physiological computing applications built with the BITalino, that show the potential of this platform within the engineering community. (C) 2014 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

引用

页码：399 / 406

页数：8

共 50 条

[21] Hardware Support for Low-Cost Memory Safety
Boivie, Rick
Saileshwar, Gururaj
Chen, Tong
Segal, Benjamin
Buyuktosunoglu, Alper
51ST ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS - SUPPLEMENTAL VOL (DSN 2021), 2021, : 57 - 60
[22] ZyNet: Automating Deep Neural Network Implementation on Low-cost Reconfigurable Edge Computing Platforms
Vipin, Kizheppatt
2019 INTERNATIONAL CONFERENCE ON FIELD-PROGRAMMABLE TECHNOLOGY (ICFPT 2019), 2019, : 323 - 326
[23] Low-cost physical computing platforms for end-user prototyping of smart home systems
Maceli, Monica G.
BEHAVIOUR & INFORMATION TECHNOLOGY, 2021, 40 (10) : 997 - 1007
[24] SOHO SOFTWARE FOLLOWS LOW-COST HARDWARE
OMALLEY, C
BYTE, 1993, 18 (11): : 32 - 32
[25] LOW-COST HARDWARE MULTIPLIER FOR MICROPROCESSORS.
Koanantakool, T.
Drnovsek, J.
New Electronics, 1980, 13 (02): : 26 - 27
[26] A Comparison of GPS Performance in a Southern Hardwood Forest: Exploring Low-Cost Solutions for Forestry Applications
Danskin, Scott D.
Bettinger, Pete
Jordan, Thomas R.
Cieszewski, Chris
SOUTHERN JOURNAL OF APPLIED FORESTRY, 2009, 33 (01): : 9 - 16
[27] Performance Assessment of Low-Cost Thermal Cameras for Medical Applications
Villa, Enrique
Arteaga-Marrero, Natalia
Ruiz-Alzola, Juan
SENSORS, 2020, 20 (05)
[28] Assembly and wiring technologies on PLC platforms for low-cost and high-speed applications
Akahori, Y
Ohyama, T
Hashimoto, T
Yamada, Y
47TH ELECTRONIC COMPONENTS & TECHNOLOGY CONFERENCE, 1997 PROCEEDINGS, 1997, : 632 - 637
[29] Investigating the performance of a low-cost thermal imager for forestry applications
Smigaj, M.
Gaulton, R.
Barr, S. L.
Suarez, J. C.
IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXII, 2016, 10004
[30] A Performance Analysis of Low-Cost GPS Receivers in Kinematic Applications
Alkan, R. M.
Saka, M. H.
JOURNAL OF NAVIGATION, 2009, 62 (04): : 687 - 697

← 1 2 3 4 5 →