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Suitability of smartphone inertial sensors for real-time biofeedback applications
ID
Kos, Anton
(
Author
),
ID
Tomažič, Sašo
(
Author
),
ID
Umek, Anton
(
Author
)
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http://www.mdpi.com/1424-8220/16/3/301
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Abstract
This article studies the suitability of smartphones with built-in inertial sensors for biofeedback applications. Biofeedback systems use various sensors to measure body functions and parameters. These sensor data are analyzed, and the results are communicated back to the user, who then tries to act on the feedback signals. Smartphone inertial sensors can be used to capture body movements in biomechanical biofeedback systems. These sensors exhibit various inaccuracies that induce significant angular and positional errors. We studied deterministic and random errors of smartphone accelerometers and gyroscopes, primarily focusing on their biases. Based on extensive measurements, we determined accelerometer and gyroscope noise models and bias variation ranges. Then, we compiled a table of predicted positional and angular errors under various biofeedback system operation conditions. We suggest several bias compensation options that are suitable for various examples of use in real-time biofeedback applications. Measurements within the developed experimental biofeedback application show that under certain conditions, even uncompensated sensors can be used for real-time biofeedback. For general use, especially for more demanding biofeedback applications, sensor biases should be compensated. We are convinced that real-time biofeedback systems based on smartphone inertial sensors are applicable to many similar examples in sports, healthcare, and other areas.
Language:
English
Keywords:
biofeedback system
,
smartphone sensors
,
MEMS sensors
,
sensor noise
,
Allan variance
,
bias error
,
bias compensation
,
real-time biofeedback application
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
FE - Faculty of Electrical Engineering
Publication status:
Published
Publication version:
Version of Record
Year:
2016
Number of pages:
21 str.
Numbering:
Vol. 16, iss. 3, art. 301
PID:
20.500.12556/RUL-130317
UDC:
621.39
ISSN on article:
1424-8220
DOI:
10.3390/s16030301
COBISS.SI-ID:
11297876
Publication date in RUL:
13.09.2021
Views:
1099
Downloads:
183
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Record is a part of a journal
Title:
Sensors
Shortened title:
Sensors
Publisher:
MDPI
ISSN:
1424-8220
COBISS.SI-ID:
10176278
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
01.03.2016
Secondary language
Language:
Slovenian
Keywords:
sistem z biološko povratno zanko
,
senzorji pametnih telefonov
,
MEMS senzorji
,
šum senzorjev
,
Allan varianca
,
napaka ničelne vrednosti
,
kompenzacija ničelne vrednosti
,
aplikacija z biološko povratno vezavo v realnem času
Projects
Funder:
ARRS - Slovenian Research Agency
Project number:
P2-0246
Name:
Algoritmi in optimizacijski postopki v telekomunikacijah
Funder:
ARRS - Slovenian Research Agency
Project number:
L2-5481
Name:
Uporaba brezžičnih senzorskih naprav za spremljanje gibanja in biološko povratno vezavo
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