TY - GEN
T1 - Capturing nursing interactions from mobile sensor data and in-room sensors
AU - Inoue, Sozo
AU - Hayashida, Kousuke
AU - Nakamura, Masato
AU - Nohara, Yasunobu
AU - Nakashima, Naoki
PY - 2013/8/1
Y1 - 2013/8/1
N2 - In this paper, we show two approaches for capturing nursing interactions in a hospital: 1) finding nursing intervals from mobile sensors with accelerometers and audio on nurses, and 2) recognizing nurses' entrance to a patient's room from in-room sensors of bed, loudness, and illuminance sensors. For 1), we firstly detect the nurses' entrance to the patient's room by walking detection from accelerometers and noise level on mobile sensors, and detect the interval of interaction between nurses and the patient. For 2), we recognize the nurse's entrance to the patient's room with in-room sensors, using separate algorithms between day and night. We developed the algorithms using the sensor data collected in a cardiovascular center in a real hospital for one year. It could be a important baseline technique to find valuable intervals from long and big data of sensors.
AB - In this paper, we show two approaches for capturing nursing interactions in a hospital: 1) finding nursing intervals from mobile sensors with accelerometers and audio on nurses, and 2) recognizing nurses' entrance to a patient's room from in-room sensors of bed, loudness, and illuminance sensors. For 1), we firstly detect the nurses' entrance to the patient's room by walking detection from accelerometers and noise level on mobile sensors, and detect the interval of interaction between nurses and the patient. For 2), we recognize the nurse's entrance to the patient's room with in-room sensors, using separate algorithms between day and night. We developed the algorithms using the sensor data collected in a cardiovascular center in a real hospital for one year. It could be a important baseline technique to find valuable intervals from long and big data of sensors.
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U2 - 10.1007/978-3-642-39238-2_31
DO - 10.1007/978-3-642-39238-2_31
M3 - Conference contribution
AN - SCOPUS:84880720305
SN - 9783642392375
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 280
EP - 289
BT - Design, User Experience, and Usability
T2 - 2nd International Conference on Design, User Experience, and Usability: User Experience in Novel Technological Environments, DUXU 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013
Y2 - 21 July 2013 through 26 July 2013
ER -