DocumentCode
3076526
Title
Chair Alarm for patient fall prevention based on Gesture Recognition and Interactivity
Author
Knight, Heather ; Lee, Jae-Kyu ; Ma, Hongshen
Author_Institution
Master´´s Program in Electrical Engineering at the Massachusetts Institute of Technology, Cambridge, 01239 USA
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
3698
Lastpage
3701
Abstract
The Gesture Recognition Interactive Technology (GRiT) Chair Alarm aims to prevent patient falls from chairs and wheelchairs by recognizing the gesture of a patient attempting to stand. Patient falls are one of the greatest causes of injury in hospitals. Current chair and bed exit alarm systems are inadequate because of insufficient notification, high false-alarm rate, and long trigger delays. The GRiT chair alarm uses an array of capacitive proximity sensors and pressure sensors to create a map of the patient´s sitting position, which is then processed using gesture recognition algorithms to determine when a patient is attempting to stand and to alarm the care providers. This system also uses a range of voice and light feedback to encourage the patient to remain seated and/or to make use of the system´s integrated nurse-call function. This system can be seamlessly integrated into existing hospital WiFi networks to send notifications and approximate patient location through existing nurse call systems.
Keywords
Alarm systems; Capacitive sensors; Costs; Delay; Feedback; Hospitals; Injuries; Medical services; Sensor arrays; Wheelchairs; Accident Prevention; Accidental Falls; Algorithms; Electric Capacitance; Equipment Design; Hospitals; Humans; Interior Design and Furnishings; Pattern Recognition, Automated; Pressure; Reproducibility of Results; Safety; Signal Processing, Computer-Assisted; Telemetry; Wheelchairs;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4650012
Filename
4650012
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