The Accidental Detection System of Intelligent Clinical Ward by Non-contact Sensing Technologies

ASIAIR > College of Computer Science > Department of Computer Science and Information Engineering > Theses & dissertations > Item 310904400/4072

Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/4072

Title:	The Accidental Detection System of Intelligent Clinical Ward by Non-contact Sensing Technologies
Authors:	jang wei cheng
Contributors:	Department of Computer Science and Information Engineering
Keywords:	computer vision;accidental event detection;fall
Date:	2006
Issue Date:	2009-11-18 13:13:51 (UTC+0)
Publisher:	Asia University
Abstract:	Fall injuries strongly affect the health of senior citizen, and place lives in serious danger. Fall injuries account for 34.5% of accidents at home, according to the results of investigation. As well as endangering safety, falls increase the medical expenses borne by society and families. As Taiwanese society ages, with the older population continuously increasing, detecting and preventing falls becomes increasingly important for protecting family health. This thesis presents a non-contact patient-centered sensing technology to detect and examine accidental falling events. The aim of the proposed system is to improve medical treatment and reduce unexpected danger. Protection in the home requires 24-hour care. This care must be provided by medical personnel. Expenditure from wages of medical personnel is an increasing burden. Therefore, the proposed general home care system places micro sensor devices into a patient's body and limbs to detect and examine accidents. The sensor devices need to be placed on the body causing patient is inconvenient. This thesis develops an accidental event detection system for home and ward. Patients can achieve protection from falling without wearing heavy sensor devices. Falls are detected by network cameras in the hospital ward to analyzing the patient's activity. If cameras cannot be used, such as bathroom, then RFID (Radio Frequency Identification) technology can be used instead. If the system detects the falling or other unusual behavior, then the medical personnel are notified immediately to seek medical advice. This system can be applied to reduce the cost and burden to medical care personnel.t
Appears in Collections:	[Department of Computer Science and Information Engineering] Theses & dissertations

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