Spine Cop: Posture Correction Monitor and Assistant

Back and spine-related issues are frequent maladies that most people have or will experience during their lifetime. A common and sensible observation that can be made is regarding the posture of an individual. We present a new approach that combines accelerometer, gyroscope, and magnetometer sensor...

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Main Authors: Pedro Ribeiro, Ana Rita Soares, Rafael Girão, Miguel Neto, Susana Cardoso
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/18/5376
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spelling doaj-7d7ef89853124877bb72a4568f1c6fed2020-11-25T03:29:43ZengMDPI AGSensors1424-82202020-09-01205376537610.3390/s20185376Spine Cop: Posture Correction Monitor and AssistantPedro Ribeiro0Ana Rita Soares1Rafael Girão2Miguel Neto3Susana Cardoso4Instituto de Engenharia de Sistemas e Computadores—Microsystems and Nanotechnologies, 1000-019 Lisbon, PortugalInstituto de Engenharia de Sistemas e Computadores—Microsystems and Nanotechnologies, 1000-019 Lisbon, PortugalInstituto de Engenharia de Sistemas e Computadores—Microsystems and Nanotechnologies, 1000-019 Lisbon, PortugalInstituto de Engenharia de Sistemas e Computadores—Microsystems and Nanotechnologies, 1000-019 Lisbon, PortugalInstituto de Engenharia de Sistemas e Computadores—Microsystems and Nanotechnologies, 1000-019 Lisbon, PortugalBack and spine-related issues are frequent maladies that most people have or will experience during their lifetime. A common and sensible observation that can be made is regarding the posture of an individual. We present a new approach that combines accelerometer, gyroscope, and magnetometer sensor data in combination with permanent magnets assembled as a wearable device capable of real-time spine posture monitoring. An independent calibration of the device is required for each user. The sensor data is processed by a probabilistic classification algorithm that compares the real-time data with the calibration result, verifying whether the data point lies within regions of confidence defined by a computed threshold. An incorrect posture classification is considered if both accelerometer and magnetometer classify the posture as incorrect. A pilot trial was performed in a single adult test subject. The combination of the magnets and magnetometer greatly improved the posture classification accuracy (89%) over the accuracy obtained when only accelerometer data were used (47%). The validation of this method was based on image analysis.https://www.mdpi.com/1424-8220/20/18/5376ergonomicswearable devicepostureaccelerometermagnetometer
collection DOAJ
language English
format Article
sources DOAJ
author Pedro Ribeiro
Ana Rita Soares
Rafael Girão
Miguel Neto
Susana Cardoso
spellingShingle Pedro Ribeiro
Ana Rita Soares
Rafael Girão
Miguel Neto
Susana Cardoso
Spine Cop: Posture Correction Monitor and Assistant
Sensors
ergonomics
wearable device
posture
accelerometer
magnetometer
author_facet Pedro Ribeiro
Ana Rita Soares
Rafael Girão
Miguel Neto
Susana Cardoso
author_sort Pedro Ribeiro
title Spine Cop: Posture Correction Monitor and Assistant
title_short Spine Cop: Posture Correction Monitor and Assistant
title_full Spine Cop: Posture Correction Monitor and Assistant
title_fullStr Spine Cop: Posture Correction Monitor and Assistant
title_full_unstemmed Spine Cop: Posture Correction Monitor and Assistant
title_sort spine cop: posture correction monitor and assistant
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-09-01
description Back and spine-related issues are frequent maladies that most people have or will experience during their lifetime. A common and sensible observation that can be made is regarding the posture of an individual. We present a new approach that combines accelerometer, gyroscope, and magnetometer sensor data in combination with permanent magnets assembled as a wearable device capable of real-time spine posture monitoring. An independent calibration of the device is required for each user. The sensor data is processed by a probabilistic classification algorithm that compares the real-time data with the calibration result, verifying whether the data point lies within regions of confidence defined by a computed threshold. An incorrect posture classification is considered if both accelerometer and magnetometer classify the posture as incorrect. A pilot trial was performed in a single adult test subject. The combination of the magnets and magnetometer greatly improved the posture classification accuracy (89%) over the accuracy obtained when only accelerometer data were used (47%). The validation of this method was based on image analysis.
topic ergonomics
wearable device
posture
accelerometer
magnetometer
url https://www.mdpi.com/1424-8220/20/18/5376
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AT susanacardoso spinecopposturecorrectionmonitorandassistant
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