Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing Technology

The increasing geriatric population across the world has necessitated the early detection of frailty through the analysis of daily-life behavioral patterns. This paper presents a system for ambient, automatic, and the continuous measurement and analysis of ascent and descent motions and long-term ha...

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Main Authors: Yusuke Miyazaki, Kohei Shoda, Koji Kitamura, Yoshifumi Nishida
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/4/2236
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author Yusuke Miyazaki
Kohei Shoda
Koji Kitamura
Yoshifumi Nishida
author_facet Yusuke Miyazaki
Kohei Shoda
Koji Kitamura
Yoshifumi Nishida
author_sort Yusuke Miyazaki
collection DOAJ
description The increasing geriatric population across the world has necessitated the early detection of frailty through the analysis of daily-life behavioral patterns. This paper presents a system for ambient, automatic, and the continuous measurement and analysis of ascent and descent motions and long-term handrail-use behaviors of participants in their homes using an RGB-D camera. The system automatically stores information regarding the environment and three-dimensional skeletal coordinates of the participant only when they appear within the camera’s angle of view. Daily stair ascent and descent motions were measured in two houses: one house with two participants in their 20s and two in their 50s, and another with two participants in their 70s. The recorded behaviors were analyzed in terms of the stair ascent/descent speed, handrail grasping points, and frequency determined using the decision tree algorithm. The participants in their 70s exhibited a decreased stair ascent/descent speed compared to other participants; those in their 50s and 70s exhibited increased handrail usage area and frequency. The outcomes of the study indicate the system’s ability to accurately detect a decline in physical function through the continuous measurement of daily stair ascent and descent motions.
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spelling doaj.art-791d29a3e41f453ca17b9e9b38d93dea2023-11-16T23:12:06ZengMDPI AGSensors1424-82202023-02-01234223610.3390/s23042236Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing TechnologyYusuke Miyazaki0Kohei Shoda1Koji Kitamura2Yoshifumi Nishida3Department of Systems and Control Engineering, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8550, JapanDepartment of Systems and Control Engineering, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8550, JapanNational Institute of Advanced Industrial Science and Technology, 2-3-26, Aomi, Koto-ku, Tokyo 135-0064, JapanDepartment of Systems and Control Engineering, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8550, JapanThe increasing geriatric population across the world has necessitated the early detection of frailty through the analysis of daily-life behavioral patterns. This paper presents a system for ambient, automatic, and the continuous measurement and analysis of ascent and descent motions and long-term handrail-use behaviors of participants in their homes using an RGB-D camera. The system automatically stores information regarding the environment and three-dimensional skeletal coordinates of the participant only when they appear within the camera’s angle of view. Daily stair ascent and descent motions were measured in two houses: one house with two participants in their 20s and two in their 50s, and another with two participants in their 70s. The recorded behaviors were analyzed in terms of the stair ascent/descent speed, handrail grasping points, and frequency determined using the decision tree algorithm. The participants in their 70s exhibited a decreased stair ascent/descent speed compared to other participants; those in their 50s and 70s exhibited increased handrail usage area and frequency. The outcomes of the study indicate the system’s ability to accurately detect a decline in physical function through the continuous measurement of daily stair ascent and descent motions.https://www.mdpi.com/1424-8220/23/4/2236RGB-D cameraambient sensingfrailtystair ascending/descending
spellingShingle Yusuke Miyazaki
Kohei Shoda
Koji Kitamura
Yoshifumi Nishida
Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing Technology
Sensors
RGB-D camera
ambient sensing
frailty
stair ascending/descending
title Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing Technology
title_full Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing Technology
title_fullStr Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing Technology
title_full_unstemmed Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing Technology
title_short Assessing Handrail-Use Behavior during Stair Ascent or Descent Using Ambient Sensing Technology
title_sort assessing handrail use behavior during stair ascent or descent using ambient sensing technology
topic RGB-D camera
ambient sensing
frailty
stair ascending/descending
url https://www.mdpi.com/1424-8220/23/4/2236
work_keys_str_mv AT yusukemiyazaki assessinghandrailusebehaviorduringstairascentordescentusingambientsensingtechnology
AT koheishoda assessinghandrailusebehaviorduringstairascentordescentusingambientsensingtechnology
AT kojikitamura assessinghandrailusebehaviorduringstairascentordescentusingambientsensingtechnology
AT yoshifuminishida assessinghandrailusebehaviorduringstairascentordescentusingambientsensingtechnology