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Adaptive temporal difference learning of spatial memory in the water maze task
(University of Missouri--Columbia, 2009)
The goal of this work was to evaluate the performance of a biologically inspired Temporal Difference (TD) approach to the learning of spatial memory for a robot in a dry version of the Morris water maze task. The Morris water maze task is a spatial...
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 ...
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 efficiently with the robot...
Sketch-based navigation for mobile robots using qualitative landmark states
(University of Missouri--Columbia, 2007)
In this work, a system for navigating a mobile robot along a sketched route is proposed. The sketch is drawn on a PDA screen by a human operator and contains approximate landmarks and a path, similar to a sketch provided ...
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 ...
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 ...
Type-1 and type-2 fuzzy systems for detecting visitors in an uncertain environment
(University of Missouri--Columbia, 2009)
In this work, I have developed an algorithm to detect the presence of visitors in a noninvasive manner. This algorithm is designed as part of an in home monitoring system. The data from the algorithm will be used as a way ...
Automated and non-contact human finger range of motion measurement system
(University of Missouri--Columbia, 2019)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Measurement of finger active range of motion (ROM) is essential for monitoring the effectiveness of rehabilitative treatments and for evaluating patients' ...
Development and comparison of customized voice-assistant systems for independent living older adults
(University of Missouri--Columbia, 2019)
Voice-controlled in-home personal assistants have great potential to assist older adults. This thesis explores the aspects of human-computer interface design, specifically a voice assistant, to help older adults manage ...
Fuzzified scoring of the functional assessment instrument
(University of Missouri--Columbia, 2007)
This thesis describes the application of fuzzy logic to the Short Physical Performance Battery (SPPB) test, a series of timed physical activities that have been created to evaluate, physical functional performance for both ...
Personalized functional health and fall risk prediction using electronic health records and in-home sensor data
(University of Missouri--Columbia, 2021)
Research has shown the importance of Electronic Health Records (EHR) and in-home sensor data for continuous health tracking and health risk predictions. With the increased computational capabilities and advances in machine ...
RF sensing and processing methods for noninvasive health monitoring
(University of Missouri--Columbia, 2021)
Vulnerable populations include groups of people with a higher risk of poor health as a result of the limitations due to illness or disability. The health issues of vulnerable populations include three categories: physical, ...
Kinematic assessment for stroke patients in a stroke game and a daily activity recognition and assessment system
(University of Missouri--Columbia, 2022)
Stroke is the leading cause of serious, long-term disabilities among which deficits in motor abilities in arms or legs are most common. Those who suffer a stroke can recover through effective rehabilitation which is ...
Body-worn accelerometer-based health assessment algorithms for independent living older adults
(University of Missouri--Columbia, 2020)
The mainstream smart wearable products used for activity trackers have experienced significant growth recently. Among the older population, collecting long periods of activity data in a real-life setting is challenging ...