Search
Now showing items 1-7 of 7
Investigation of the relative amplitude method in detecting early illness
(University of Missouri--Columbia, 2013)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] In this study, we examine the relative amplitude - a circadian rhythm measure, as a potential feature for early illness detection. We used data collected ...
PIR sensing array for fall detection
(University of Missouri--Columbia, 2011)
The purpose of the Fuzzy PIR Fall Detection Array is to keep the elderly safe by providing a means for an immediate response to falls while still allowing them to enjoy the same independence they felt before fall detection ...
3D scene description and construction using spatial referencing language
(University of Missouri--Columbia, 2010)
It has long been a dream of science fiction to have a robot that can understand and communicate using the rich dialog of natural language. Having such capabilities would allow a human collaborator to interact naturally and ...
Data-driven methods for analyzing ballistocardiograms in longitudinal cardiovascular monitoring
(University of Missouri--Columbia, 2019)
Cardiovascular disease (CVD) is the leading cause of death in the US; about 48% of American adults have one or more types of CVD. The importance of continuous monitoring of the older population, for early detection of ...
Investigation of the effects of body type on accelerometer based fall detection
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI--COLUMBIA AT REQUEST OF AUTHOR.] Precision or personalized medicine follows the idea that analyzing a patient's genome can help stratify patients into treatment groups [1] ...
Investigation of the effects of body type on accelerometer based fall detection
(University of Missouri--Columbia, 2019)
Precision or personalized medicine follows the idea that analyzing a patient's genome can help stratify patients into treatment groups. Patients with cancer, for example, are split into groups based on the genetic make-up, ...
Activity segmentation with special emphasis on sit-to-stand analysis
(University of Missouri--Columbia, 2010)
In this study, we present algorithms to segment the activities of sitting and standing, and identify the regions of sit-to-stand transitions in a given image sequence. As a means of fall risk assessment, we propose methods ...