Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation

Falls are among the main causes of injuries in elderly individuals. Balance and mobility impairment are major indicators of fall risk in this group. The objective of this research was to develop a fall risk feedback system that operates in real time using an inertial sensor-based instrumented cane....

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Main Authors: Fernandez, Ibai Gorordo, Ahmad, Siti Anom, Wada, Chikamune
Format: Article
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Online Access:http://psasir.upm.edu.my/id/eprint/89350/1/CANE.pdf
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author Fernandez, Ibai Gorordo
Ahmad, Siti Anom
Wada, Chikamune
author_facet Fernandez, Ibai Gorordo
Ahmad, Siti Anom
Wada, Chikamune
author_sort Fernandez, Ibai Gorordo
collection UPM
description Falls are among the main causes of injuries in elderly individuals. Balance and mobility impairment are major indicators of fall risk in this group. The objective of this research was to develop a fall risk feedback system that operates in real time using an inertial sensor-based instrumented cane. Based on inertial sensor data, the proposed system estimates the kinematics (contact phase and orientation) of the cane. First, the contact phase of the cane was estimated by a convolutional neural network. Next, various algorithms for the cane orientation estimation were compared and validated using an optical motion capture system. The proposed cane contact phase prediction model achieved higher accuracy than the previous models. In the cane orientation estimation, the Madgwick filter yielded the best results overall. Finally, the proposed system was able to estimate both the contact phase and orientation in real time in a single-board computer.
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spelling upm.eprints-893502021-09-03T04:31:49Z http://psasir.upm.edu.my/id/eprint/89350/ Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation Fernandez, Ibai Gorordo Ahmad, Siti Anom Wada, Chikamune Falls are among the main causes of injuries in elderly individuals. Balance and mobility impairment are major indicators of fall risk in this group. The objective of this research was to develop a fall risk feedback system that operates in real time using an inertial sensor-based instrumented cane. Based on inertial sensor data, the proposed system estimates the kinematics (contact phase and orientation) of the cane. First, the contact phase of the cane was estimated by a convolutional neural network. Next, various algorithms for the cane orientation estimation were compared and validated using an optical motion capture system. The proposed cane contact phase prediction model achieved higher accuracy than the previous models. In the cane orientation estimation, the Madgwick filter yielded the best results overall. Finally, the proposed system was able to estimate both the contact phase and orientation in real time in a single-board computer. Multidisciplinary Digital Publishing Institute 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/89350/1/CANE.pdf Fernandez, Ibai Gorordo and Ahmad, Siti Anom and Wada, Chikamune (2020) Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation. Sensors, 20 (17). pp. 1-19. ISSN 1424-3210; ESSN: 1424-8220 https://www.mdpi.com/1424-8220/20/17/4675 10.3390/s20174675
spellingShingle Fernandez, Ibai Gorordo
Ahmad, Siti Anom
Wada, Chikamune
Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation
title Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation
title_full Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation
title_fullStr Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation
title_full_unstemmed Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation
title_short Inertial sensor-based instrumented cane for real-time walking cane kinematics estimation
title_sort inertial sensor based instrumented cane for real time walking cane kinematics estimation
url http://psasir.upm.edu.my/id/eprint/89350/1/CANE.pdf
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