Evaluation on Context Recognition Using Temperature Sensors in the Nostrils

We can benefit from various services with context recognition using wearable sensors. In this study, we focus on the contexts acquired from sensor data in the nostrils. Nostrils can provide various contexts on breathing, nasal congestion, and higher level contexts including psychological and health...

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Main Authors: Ryosuke Kodama, Tsutomu Terada, Masahiko Tsukamoto
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/7/1528
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author Ryosuke Kodama
Tsutomu Terada
Masahiko Tsukamoto
author_facet Ryosuke Kodama
Tsutomu Terada
Masahiko Tsukamoto
author_sort Ryosuke Kodama
collection DOAJ
description We can benefit from various services with context recognition using wearable sensors. In this study, we focus on the contexts acquired from sensor data in the nostrils. Nostrils can provide various contexts on breathing, nasal congestion, and higher level contexts including psychological and health states. In this paper, we propose a context recognition method using the information in the nostril. We develop a system to acquire the temperature in the nostrils using small temperature sensors connected to glasses. As a result of the evaluations, the proposed system can detect breathing correctly, workload at an accuracy of 96.4%, six behaviors at an accuracy of 54%, and eight behaviors in daily life at an accuracy of 86%. Moreover, the proposed system can detect nasal congestion, therefore, it can log nasal cycles that are considered to have a relationship with the autonomic nerves and/or biological states.
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spelling doaj.art-026894f2bc634b09a63383bfa1d91e4b2022-12-22T04:00:59ZengMDPI AGSensors1424-82202019-03-01197152810.3390/s19071528s19071528Evaluation on Context Recognition Using Temperature Sensors in the NostrilsRyosuke Kodama0Tsutomu Terada1Masahiko Tsukamoto2Graduate School of Engineering, Kobe University, 1-1 Rokkodaicho, Nada, Kobe, Hyogo 657-8501, JapanGraduate School of Engineering, Kobe University, 1-1 Rokkodaicho, Nada, Kobe, Hyogo 657-8501, JapanGraduate School of Engineering, Kobe University, 1-1 Rokkodaicho, Nada, Kobe, Hyogo 657-8501, JapanWe can benefit from various services with context recognition using wearable sensors. In this study, we focus on the contexts acquired from sensor data in the nostrils. Nostrils can provide various contexts on breathing, nasal congestion, and higher level contexts including psychological and health states. In this paper, we propose a context recognition method using the information in the nostril. We develop a system to acquire the temperature in the nostrils using small temperature sensors connected to glasses. As a result of the evaluations, the proposed system can detect breathing correctly, workload at an accuracy of 96.4%, six behaviors at an accuracy of 54%, and eight behaviors in daily life at an accuracy of 86%. Moreover, the proposed system can detect nasal congestion, therefore, it can log nasal cycles that are considered to have a relationship with the autonomic nerves and/or biological states.https://www.mdpi.com/1424-8220/19/7/1528wearable computingcontext recognitionnasal cycletemperature sensor
spellingShingle Ryosuke Kodama
Tsutomu Terada
Masahiko Tsukamoto
Evaluation on Context Recognition Using Temperature Sensors in the Nostrils
Sensors
wearable computing
context recognition
nasal cycle
temperature sensor
title Evaluation on Context Recognition Using Temperature Sensors in the Nostrils
title_full Evaluation on Context Recognition Using Temperature Sensors in the Nostrils
title_fullStr Evaluation on Context Recognition Using Temperature Sensors in the Nostrils
title_full_unstemmed Evaluation on Context Recognition Using Temperature Sensors in the Nostrils
title_short Evaluation on Context Recognition Using Temperature Sensors in the Nostrils
title_sort evaluation on context recognition using temperature sensors in the nostrils
topic wearable computing
context recognition
nasal cycle
temperature sensor
url https://www.mdpi.com/1424-8220/19/7/1528
work_keys_str_mv AT ryosukekodama evaluationoncontextrecognitionusingtemperaturesensorsinthenostrils
AT tsutomuterada evaluationoncontextrecognitionusingtemperaturesensorsinthenostrils
AT masahikotsukamoto evaluationoncontextrecognitionusingtemperaturesensorsinthenostrils