Graduate School of Engineering, Kobe University, 1-1 Rokkodaicho, Nada, Kobe, Hyogo 657-8501, Japan.
Strategic Creation Research Promotion Project (PRESTO) of the Japan Science and Technology Agency (JST), 4-1-8 Honmachi, Kawaguchi, Saitama 332-0012, Japan.
Sensors (Basel). 2019 Mar 29;19(7):1528. doi: 10.3390/s19071528.
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.
我们可以通过使用可穿戴传感器的上下文识别来享受各种服务。在本研究中，我们专注于从鼻腔传感器数据中获取的上下文。鼻腔可以提供呼吸、鼻塞等各种上下文，以及包括心理和健康状态在内的更高层次的上下文。在本文中，我们提出了一种使用鼻腔信息的上下文识别方法。我们开发了一个使用连接到眼镜的小型温度传感器来获取鼻腔温度的系统。评估结果表明，所提出的系统能够正确地检测呼吸，工作负荷的准确率为 96.4%，6 种行为的准确率为 54%，日常生活中的 8 种行为的准确率为 86%。此外，该系统还可以检测鼻塞，因此可以记录被认为与自主神经和/或生物状态有关的鼻周期。
