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Proceedings Paper

Improvement of relief algorithm to prevent inpatient's downfall accident with night-vision CCD camera
Author(s): Noriyuki Matsuda; Takeshi Yamamoto; Masafumi Miwa; Shinobu Nukumi; Kumiko Mori; Yuko Kuinose; Etuko Maeda; Hirokazu Miura; Hirokazu Taki; Satoshi Hori; Norihiro Abe
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Paper Abstract

"ROSAI" hospital, Wakayama City in Japan, reported that inpatient's bed-downfall is one of the most serious accidents in hospital at night. Many inpatients have been having serious damages from downfall accidents from a bed. To prevent accidents, the hospital tested several sensors in a sickroom to send warning-signal of inpatient's downfall accidents to a nurse. However, it sent too much inadequate wrong warning about inpatients' sleeping situation. To send a nurse useful information, precise automatic detection for an inpatient's sleeping situation is necessary. In this paper, we focus on a clustering-algorithm which evaluates inpatient's situation from multiple angles by several kinds of sensor including night-vision CCD camera. This paper indicates new relief algorithm to improve the weakness about exceptional cases.

Paper Details

Date Published: 6 December 2005
PDF: 8 pages
Proc. SPIE 6051, Optomechatronic Machine Vision, 605118 (6 December 2005); doi: 10.1117/12.648639
Show Author Affiliations
Noriyuki Matsuda, Wakayama Univ. (Japan)
Takeshi Yamamoto, Wakayama Univ. (Japan)
Masafumi Miwa, Wakayama Univ. (Japan)
Shinobu Nukumi, Wakayama ROSAI Hospital (Japan)
Kumiko Mori, Wakayama ROSAI Hospital (Japan)
Yuko Kuinose, Wakayama ROSAI Hospital (Japan)
Etuko Maeda, Wakayama ROSAI Hospital (Japan)
Hirokazu Miura, Wakayama Univ. (Japan)
Hirokazu Taki, Wakayama Univ. (Japan)
Satoshi Hori, Institute of Technologists (Japan)
Norihiro Abe, Kyushu Institute of Technology (Japan)


Published in SPIE Proceedings Vol. 6051:
Optomechatronic Machine Vision
Kazuhiko Sumi, Editor(s)

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