水中映像からの単独スキューバダイバー呼吸数のロボット検出と推定
Robotic Detection and Estimation of Single Scuba Diver Respiration Rate from Underwater Video
水中映像からスキューバダイバーの吐息の泡を検出し、呼吸数を推定するシステムを提案。音声情報を用いたファジーラベリングでデータセットを構築し、4手法を比較して有効性を示した。
著者: Demetrious T. Kutzke, Junaed Sattar
分類: cs.RO
原文アブストラクト
Human respiration rate (HRR) is an important physiological metric for diagnosing a variety of health conditions from stress levels to heart conditions. Estimation of HRR is well-studied in controlled terrestrial environments, yet robotic estimation of HRR as an indicator of diver stress in underwater for underwater human robot interaction (UHRI) scenarios is to our knowledge unexplored. We introduce a novel system for robotic estimation of HRR from underwater visual data by utilizing bubbles from exhalation cycles in scuba diving to time respiration rate. We introduce a fuzzy labeling system that utilizes audio information to label a diverse dataset of diver breathing data on which we compare four different methods for characterizing the presence of bubbles in images. Ultimately we show that our method is effective at estimating HRR by comparing the respiration rate output with human analysts.
