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

Research output: Contribution to conferenceProceeding

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.

Conference

ConferenceIEEE International Conference on Flexible and Printable Sensors and Systems
Abbreviated titleIEEE FLEPS 2019
CountryUnited Kingdom
CityGlasgow
Period7/07/1910/07/19
Internet address

Fingerprint

Wi-Fi
Monitoring
Sensors
Microcontrollers
Graphical user interfaces
Seats
Learning systems
Transmitters
Servers

Keywords

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

Cite this

Ishaku, A. A., Tranganidas, A., Matúška, S., Hudec, R., McCutcheon, G., Stankovic, L., & Gleskova, H. (2019). Flexible force sensors embedded in office chair for monitoring of sitting postures. IEEE International Conference on Flexible and Printable Sensors and Systems , Glasgow, United Kingdom.
Ishaku, Amayikai A. ; Tranganidas, Aris ; Matúška, Slavomír ; Hudec, Róbert ; McCutcheon, Graeme ; Stankovic, Lina ; Gleskova, Helena. / Flexible force sensors embedded in office chair for monitoring of sitting postures. IEEE International Conference on Flexible and Printable Sensors and Systems , Glasgow, United Kingdom.3 p.
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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.",
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Ishaku, AA, Tranganidas, A, Matúška, S, Hudec, R, McCutcheon, G, Stankovic, L & Gleskova, H 2019, 'Flexible force sensors embedded in office chair for monitoring of sitting postures' IEEE International Conference on Flexible and Printable Sensors and Systems , Glasgow, United Kingdom, 7/07/19 - 10/07/19, .

Flexible force sensors embedded in office chair for monitoring of sitting postures. / Ishaku, Amayikai A.; Tranganidas, Aris; Matúška, Slavomír; Hudec, Róbert; McCutcheon, Graeme; Stankovic, Lina; Gleskova, Helena.

2019. IEEE International Conference on Flexible and Printable Sensors and Systems , Glasgow, United Kingdom.

Research output: Contribution to conferenceProceeding

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/

M3 - Proceeding

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Ishaku AA, Tranganidas A, Matúška S, Hudec R, McCutcheon G, Stankovic L et al. Flexible force sensors embedded in office chair for monitoring of sitting postures. 2019. IEEE International Conference on Flexible and Printable Sensors and Systems , Glasgow, United Kingdom.