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Title:Good-walk recognition using Android smartphone accelerometer with application on senior patients
Author(s):Yu, Wenbo
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):bioinformatics
walk recognition
activity recognition
smartphone
accelerometer
senior patient
Abstract:Good walk from one's everyday activities can be used towards chronic disease diagnosis. Smartphones have become increasingly popular among people across ages. Properties including light weight, computationally powerful make smartphones ideal platforms for activity tracking and analysis. This work focuses on good walk recognition using smartphone accelerometer readings. The algorithms are validated with activity data collected from a large pool of healthy college students and senior patients. Softwares are implemented for walk recognition and pulmonary function evaluations, and are integrated to a pipeline as part of a sequence of activity data analysis.
Issue Date:2016-04-21
Type:Thesis
URI:http://hdl.handle.net/2142/90611
Rights Information:Copyright 2016 Wenbo Yu
Date Available in IDEALS:2016-07-07
Date Deposited:2016-05


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