Your Search Results

Use this resource - and many more! - in your textbook!

AcademicPub holds over eight million pieces of educational content for you to mix-and-match your way.

Experience the freedom of customizing your course pack with AcademicPub!
Not an educator but still interested in using this content? No problem! Visit our provider's page to contact the publisher and get permission directly.

VAMPIR- an automatic fall detection system using a vertical PIR sensor array

By: Skubic, M.; Moore, M.; Hotrabhavananda, B.; Popescu, M.;

2012 / IEEE / 978-1-936968-43-5


This item was taken from the IEEE Conference ' VAMPIR- an automatic fall detection system using a vertical PIR sensor array ' Falling is a common health problem for elderly. It is reported that about 12 million adults 65 and older fall each year in the United States. To address this problem, at the Center for Eldercare and Rehabilitation Technologies in the University of Missouri we are investigating multiple fall detection systems. In this paper, we present an automatic fall detection system called VAMPIR based on a vertical array of multiple passive infrared (PIR) sensors. PIR sensors provide an inexpensive way to recognize human activity based on its infrared signature. To differentiate between falls and other human activities such as walking, sitting on a chair, bending over etc., we used a pattern recognition algorithm based on hidden Markov models (HMM). We obtained encouraging classification results on a pilot dataset that contained 42 falls and multiple non-fall human activities performed by trained stunt actors.