Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival Time

With the increasing use of wearable devices equipped with various sensors, information on human activities, biometrics, and surrounding environments can be obtained via sensor data at any time and place. When such devices are attached to arbitrary body parts and multiple devices are used to capture...

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Main Authors: Kazuki Yoshida, Kazuya Murao
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/3/1090
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author Kazuki Yoshida
Kazuya Murao
author_facet Kazuki Yoshida
Kazuya Murao
author_sort Kazuki Yoshida
collection DOAJ
description With the increasing use of wearable devices equipped with various sensors, information on human activities, biometrics, and surrounding environments can be obtained via sensor data at any time and place. When such devices are attached to arbitrary body parts and multiple devices are used to capture body-wide movements, it is important to estimate where the devices are attached. In this study, we propose a method that estimates the load positions of wearable devices without requiring the user to perform specific actions. The proposed method estimates the time difference between a heartbeat obtained by an ECG sensor and a pulse wave obtained by a pulse sensor, and it classifies the pulse sensor position from the estimated time difference. Data were collected at 12 body parts from four male subjects and one female subject, and the proposed method was evaluated in both user-dependent and user-independent environments. The average F-value was 1.0 when the number of target body parts was from two to five.
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spelling doaj.art-476b04f4f0e44080963a6e2d389f8f7a2023-11-23T17:50:20ZengMDPI AGSensors1424-82202022-01-01223109010.3390/s22031090Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival TimeKazuki Yoshida0Kazuya Murao1Graduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu 525-8577, Shiga, JapanGraduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu 525-8577, Shiga, JapanWith the increasing use of wearable devices equipped with various sensors, information on human activities, biometrics, and surrounding environments can be obtained via sensor data at any time and place. When such devices are attached to arbitrary body parts and multiple devices are used to capture body-wide movements, it is important to estimate where the devices are attached. In this study, we propose a method that estimates the load positions of wearable devices without requiring the user to perform specific actions. The proposed method estimates the time difference between a heartbeat obtained by an ECG sensor and a pulse wave obtained by a pulse sensor, and it classifies the pulse sensor position from the estimated time difference. Data were collected at 12 body parts from four male subjects and one female subject, and the proposed method was evaluated in both user-dependent and user-independent environments. The average F-value was 1.0 when the number of target body parts was from two to five.https://www.mdpi.com/1424-8220/22/3/1090wearable devicewearable sensorload position estimationelectrocardiogram (ECG)heartbeatpulse wave
spellingShingle Kazuki Yoshida
Kazuya Murao
Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival Time
Sensors
wearable device
wearable sensor
load position estimation
electrocardiogram (ECG)
heartbeat
pulse wave
title Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival Time
title_full Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival Time
title_fullStr Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival Time
title_full_unstemmed Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival Time
title_short Load Position Estimation Method for Wearable Devices Based on Difference in Pulse Wave Arrival Time
title_sort load position estimation method for wearable devices based on difference in pulse wave arrival time
topic wearable device
wearable sensor
load position estimation
electrocardiogram (ECG)
heartbeat
pulse wave
url https://www.mdpi.com/1424-8220/22/3/1090
work_keys_str_mv AT kazukiyoshida loadpositionestimationmethodforwearabledevicesbasedondifferenceinpulsewavearrivaltime
AT kazuyamurao loadpositionestimationmethodforwearabledevicesbasedondifferenceinpulsewavearrivaltime