看護師モバイルセンサからの看護行動区間の推定(Finding Nursing Interval from Mobile Sensors Attached to Nurses)
Masato Nakamura, Sozo Inoue, Yasunobu Nohara, Naoki Nakashima,
In this paper, we propose a method for finding nursing activities from accelerometers and audio on mobile sensors which are attached to nurses in reality. If we can find the intervals of nursing activities correctly, we can reduce the labor of annotating mobile sensor data for activity recognition. We have extracted the times of nursing interactions between nurses and patients in the following steps: A) recognize walking activity from accelerometers, B) recognize if s/he is in the patient's room or not at each time duration divided by walking activities, from the environmental noise levels of sounds, and, C) for the duration where s/he is assumed to be in the patient's room, apply voice activity detection by fundamental frequencies using Cepstrum method, and extract the duration in which a person speaks.