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

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

"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.

[1] Takahiro OKABE,et al. SUPPORT VECTOR MACHINES FOR OBJECT RECOGNITION UNDER VARYING ILLUMINATION CONDITIONS , 2004 .

[2] Toshihiro Kamishima,et al. Learning from Cluster Examples , 2003, Machine Learning.

[3] William Stafford Noble,et al. Support vector machine , 2013 .

[4] Larry A. Rendell,et al. A Practical Approach to Feature Selection , 1992, ML.

[5] Igor Kononenko,et al. Estimating Attributes: Analysis and Extensions of RELIEF , 1994, ECML.

[6] Shotaro Akaho,et al. Learning from Cluster Examples-Employing Attributes of Clusters. , 2003 .