Improvement of relief algorithm to prevent inpatient's downfall accident with night-vision CCD camera

Noriyuki Matsuda; Takeshi Yamamoto; Masafumi Miwa; Shinobu Nukumi; Kumiko Mori; Yuko Kuinose; Etuko Maeda; Hirokazu Miura; Hirokazu Taki; Satoshi Hori; Norihiro Abe

doi:10.1117/12.648639

6 December 2005 Improvement of relief algorithm to prevent inpatient's downfall accident with night-vision CCD camera

Noriyuki Matsuda, Takeshi Yamamoto, Masafumi Miwa, Shinobu Nukumi, Kumiko Mori, Yuko Kuinose, Etuko Maeda, Hirokazu Miura, Hirokazu Taki, Satoshi Hori, Norihiro Abe

Author Affiliations +

Proceedings Volume 6051, Optomechatronic Machine Vision; 605118 (2005) https://doi.org/10.1117/12.648639
Event: Optomechatronic Technologies 2005, 2005, Sapporo, Japan

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.

Citation Download Citation

Noriyuki Matsuda, Takeshi Yamamoto, Masafumi Miwa, Shinobu Nukumi, Kumiko Mori, Yuko Kuinose, Etuko Maeda, Hirokazu Miura, Hirokazu Taki, Satoshi Hori, and Norihiro Abe "Improvement of relief algorithm to prevent inpatient's downfall accident with night-vision CCD camera", Proc. SPIE 6051, Optomechatronic Machine Vision, 605118 (6 December 2005); https://doi.org/10.1117/12.648639

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available