Evaluation on Context Recognition Using Temperature Sensors in the Nostrils

• Kodama, Ryosuke

• 寺田, 努

• 塚本, 昌彦

抄録

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.

収録刊行物

• Sensors

  Sensors 19 (7), 1528-1528, 2019-04-01

  MDPI

キーワード

• wearable computing
• context recognition
• nasal cycle
• temperature sensor

詳細情報

• CRID: 1050012570392869376
• NII論文ID: 120006645717
• ISSN: 14248220
• HANDLE: 20.500.14094/90006093
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • CiNii Articles