Flexible force sensors embedded in office chair for monitoring of sitting postures

Amayikai A. Ishaku; Aris Tranganidas; Slavomír Matúška; Róbert Hudec; Graeme McCutcheon; Lina Stankovic; Helena Gleskova

doi:10.1109/FLEPS.2019.8792250

Flexible force sensors embedded in office chair for monitoring of sitting postures

Amayikai A. Ishaku
, Aris Tranganidas
, Slavomír Matúška
, Róbert Hudec
, Graeme McCutcheon
, Lina Stankovic
, Helena Gleskova

Electronic And Electrical Engineering

Research output: Contribution to conference › Proceeding › peer-review

16 Citations (Scopus)

91 Downloads (Pure)

Abstract

Six flexible force sensors, two on the backrest and four on the seat, were embedded in the upholstery of an off-the-shelf office chair to enable non-intrusive monitoring of sitting postures. Besides the sensors, the monitoring platform comprises an Arduino Nano microcontroller with Wi-Fi transmitter, embedded on the chair, a Wi-Fi receiver communicating with a remote server and a Graphical User Interface (GUI) showing real-time readings. Approximately 26,000 observations corresponding to 9 different postures were collected, labelled and classified using supervised machine learning. The results show that only a subset of the 6 sensors is needed for predicting these 9 sitting postures with high accuracy. This opens up the possibility for intelligent, real-time monitoring systems that can improve safety and wellbeing of today’s office workers.

Original language	English
Number of pages	3
DOIs	https://doi.org/10.1109/FLEPS.2019.8792250
Publication status	Published - 10 Jul 2019
Event	IEEE International Conference on Flexible and Printable Sensors and Systems - Glasgow, United Kingdom Duration: 7 Jul 2019 → 10 Jul 2019 https://fleps2019.org/

Conference

Conference	IEEE International Conference on Flexible and Printable Sensors and Systems
Abbreviated title	IEEE FLEPS 2019
Country/Territory	United Kingdom
City	Glasgow
Period	7/07/19 → 10/07/19
Internet address	https://fleps2019.org/

Keywords

flexible force sensors
non-intrusive monitoring
sitting posture
safety and wellbeing

Access to Document

10.1109/FLEPS.2019.8792250

Ishaku-etal-IEEE-FLEPS-2019-Flexible-force-sensors-embedded-in-office-chair-for-monitoring-of-sitting-posturesAccepted author manuscript, 404 KB

Cite this

@conference{e7ae781594154e7ba88d6b102a8012b2,

title = "Flexible force sensors embedded in office chair for monitoring of sitting postures",

abstract = "Six flexible force sensors, two on the backrest and four on the seat, were embedded in the upholstery of an off-the-shelf office chair to enable non-intrusive monitoring of sitting postures. Besides the sensors, the monitoring platform comprises an Arduino Nano microcontroller with Wi-Fi transmitter, embedded on the chair, a Wi-Fi receiver communicating with a remote server and a Graphical User Interface (GUI) showing real-time readings. Approximately 26,000 observations corresponding to 9 different postures were collected, labelled and classified using supervised machine learning. The results show that only a subset of the 6 sensors is needed for predicting these 9 sitting postures with high accuracy. This opens up the possibility for intelligent, real-time monitoring systems that can improve safety and wellbeing of today{\textquoteright}s office workers. ",

keywords = "flexible force sensors, non-intrusive monitoring, sitting posture, safety and wellbeing",

author = "Ishaku, \{Amayikai A.\} and Aris Tranganidas and Slavom{\'i}r Mat{\'u}{\v s}ka and R{\'o}bert Hudec and Graeme McCutcheon and Lina Stankovic and Helena Gleskova",

note = "{\textcopyright} 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. ; IEEE International Conference on Flexible and Printable Sensors and Systems , IEEE FLEPS 2019 ; Conference date: 07-07-2019 Through 10-07-2019",

year = "2019",

month = jul,

day = "10",

doi = "10.1109/FLEPS.2019.8792250",

language = "English",

url = "https://fleps2019.org/",

}

TY - CONF

T1 - Flexible force sensors embedded in office chair for monitoring of sitting postures

AU - Ishaku, Amayikai A.

AU - Tranganidas, Aris

AU - Matúška, Slavomír

AU - Hudec, Róbert

AU - McCutcheon, Graeme

AU - Stankovic, Lina

AU - Gleskova, Helena

N1 - © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2019/7/10

Y1 - 2019/7/10

N2 - Six flexible force sensors, two on the backrest and four on the seat, were embedded in the upholstery of an off-the-shelf office chair to enable non-intrusive monitoring of sitting postures. Besides the sensors, the monitoring platform comprises an Arduino Nano microcontroller with Wi-Fi transmitter, embedded on the chair, a Wi-Fi receiver communicating with a remote server and a Graphical User Interface (GUI) showing real-time readings. Approximately 26,000 observations corresponding to 9 different postures were collected, labelled and classified using supervised machine learning. The results show that only a subset of the 6 sensors is needed for predicting these 9 sitting postures with high accuracy. This opens up the possibility for intelligent, real-time monitoring systems that can improve safety and wellbeing of today’s office workers.

AB - Six flexible force sensors, two on the backrest and four on the seat, were embedded in the upholstery of an off-the-shelf office chair to enable non-intrusive monitoring of sitting postures. Besides the sensors, the monitoring platform comprises an Arduino Nano microcontroller with Wi-Fi transmitter, embedded on the chair, a Wi-Fi receiver communicating with a remote server and a Graphical User Interface (GUI) showing real-time readings. Approximately 26,000 observations corresponding to 9 different postures were collected, labelled and classified using supervised machine learning. The results show that only a subset of the 6 sensors is needed for predicting these 9 sitting postures with high accuracy. This opens up the possibility for intelligent, real-time monitoring systems that can improve safety and wellbeing of today’s office workers.

KW - flexible force sensors

KW - non-intrusive monitoring

KW - sitting posture

KW - safety and wellbeing

UR - https://fleps2019.org/

U2 - 10.1109/FLEPS.2019.8792250

DO - 10.1109/FLEPS.2019.8792250

M3 - Proceeding

T2 - IEEE International Conference on Flexible and Printable Sensors and Systems

Y2 - 7 July 2019 through 10 July 2019

ER -

Flexible force sensors embedded in office chair for monitoring of sitting postures

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

SENSIBLE: SENSors and Intelligence in BuiLt Environment (SENSIBLE) MSCA RISE

Cite this

Flexible force sensors embedded in office chair for monitoring of sitting postures

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Projects

SENSIBLE: SENSors and Intelligence in BuiLt Environment (SENSIBLE) MSCA RISE

Cite this