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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2020-09-01
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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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