Presentation 2013/3/7
Finding Nursing Interval from Mobile Sensors Attached to Nurses
MASATO NAKAMURA, SOZO INOUE, YASUNOBU NOHARA, NAOKI NAKASHIMA,
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Abstract(in English) In this paper, we propose a method for finding intervals of nursing activitivies from accelerometers and audio on mobile sensors which are attached to nurses in reality. If we can find the intervals of nursing activities correctly, it helps the data to be used for machine learning for activity recognition. We have extracted the times of nursing interactions between nurses and patients by 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. As a result of the experience for 300sec of sensor data, we observed sufficient accuracy for each step of A)-C), and could reduce the time to 11.9% without no missing.
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Paper # Vol.2013-MBL-65 No.47,Vol.2013-UBI-37 No.47
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Committee MoMuC
Conference Date 2013/3/7(1days)
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Registration To Mobile Multimedia Communications(MoMuC)
Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) Finding Nursing Interval from Mobile Sensors Attached to Nurses
Sub Title (in English)
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1st Author's Name MASATO NAKAMURA
1st Author's Affiliation Kyushu Institute of Technology()
2nd Author's Name SOZO INOUE
2nd Author's Affiliation Kyushu Institute of Technology
3rd Author's Name YASUNOBU NOHARA
3rd Author's Affiliation Kyushu University Hospital
4th Author's Name NAOKI NAKASHIMA
4th Author's Affiliation Kyushu University Hospital
Date 2013/3/7
Paper # Vol.2013-MBL-65 No.47,Vol.2013-UBI-37 No.47
Volume (vol) vol.112
Number (no) 493
Page pp.pp.-
#Pages 4
Date of Issue