Evaluation on Context Recognition Using Temperature Sensors in the Nostrils

Abstract

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.

A Method for Estimating Physician Stress Using Wearable Sensor Devices

“…Kodama et al proposed a context recognition method using information obtained from the nostrils. (13) They developed a system to acquire nostril temperature using small temperature sensors connected to glasses. Their experimental results show that the proposed system can detect breathing correctly, workload with an accuracy of 96.4%, six behaviors with an accuracy of 54%, and eight behaviors in daily life with an accuracy of 86%.…”

Wearable Sensors and Systems in the IoT

“…The paper titled “Evaluation on Context Recognition Using Temperature Sensors in the Nostrils”, authored by Kodama et al [ 27 ], proposed a context recognition method using temperature sensors in the nostrils. The authors selected the optimal sensor suitable for detecting breath from the options of a photo-reflector, humidity sensor, and temperature sensor.…”