Gait pattern detection system using wireless sensors : collecting, classifying, and predicting gait patterns for compliance monitoring of prosthesis use

Gait pattern detection system using wireless sensors : collecting, classifying, and predicting gait patterns for compliance monitoring of prosthesis use

In this paper, the development of a motion detection system was described forclassifying gait patterns specifically designed for persons with disabilities using modularbelow the knee prosthetics. The system is a mobile web application which uses an Androi

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Bibliographic Details
Main Author: NADIA ROWENA, LEETIAN
Format: text
Published: Archīum Ateneo 2014
Subjects:
Gait in humans > Simulation methods
Prosthesis
Ambient intelligence
Assistive computer technology
Biomedical engineering
Online Access:https://archium.ateneo.edu/theses-dissertations/265
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Institution: Ateneo De Manila University
id ph-ateneo-arc.theses-dissertations-1391
record_format eprints
spelling ph-ateneo-arc.theses-dissertations-13912021-04-11T05:42:03Z Gait pattern detection system using wireless sensors : collecting, classifying, and predicting gait patterns for compliance monitoring of prosthesis use NADIA ROWENA, LEETIAN In this paper, the development of a motion detection system was described forclassifying gait patterns specifically designed for persons with disabilities using modularbelow the knee prosthetics. The system is a mobile web application which uses an Androi 2014-01-01T08:00:00Z text https://archium.ateneo.edu/theses-dissertations/265 Theses and Dissertations (All) Archīum Ateneo Gait in humans -- Simulation methods Prosthesis Ambient intelligence Assistive computer technology Biomedical engineering
institution Ateneo De Manila University
building Ateneo De Manila University Library
continent Asia
country Philippines
Philippines
content_provider Ateneo De Manila University Library
collection archium.Ateneo Institutional Repository
topic Gait in humans -- Simulation methods
Prosthesis
Ambient intelligence
Assistive computer technology
Biomedical engineering
spellingShingle Gait in humans -- Simulation methods
Prosthesis
Ambient intelligence
Assistive computer technology
Biomedical engineering
NADIA ROWENA, LEETIAN
Gait pattern detection system using wireless sensors : collecting, classifying, and predicting gait patterns for compliance monitoring of prosthesis use
description In this paper, the development of a motion detection system was described forclassifying gait patterns specifically designed for persons with disabilities using modularbelow the knee prosthetics. The system is a mobile web application which uses an Androi
format text
author NADIA ROWENA, LEETIAN
author_facet NADIA ROWENA, LEETIAN
author_sort NADIA ROWENA, LEETIAN
title Gait pattern detection system using wireless sensors : collecting, classifying, and predicting gait patterns for compliance monitoring of prosthesis use
title_short Gait pattern detection system using wireless sensors : collecting, classifying, and predicting gait patterns for compliance monitoring of prosthesis use
title_full Gait pattern detection system using wireless sensors : collecting, classifying, and predicting gait patterns for compliance monitoring of prosthesis use
title_fullStr Gait pattern detection system using wireless sensors : collecting, classifying, and predicting gait patterns for compliance monitoring of prosthesis use
title_full_unstemmed Gait pattern detection system using wireless sensors : collecting, classifying, and predicting gait patterns for compliance monitoring of prosthesis use
title_sort gait pattern detection system using wireless sensors : collecting, classifying, and predicting gait patterns for compliance monitoring of prosthesis use
publisher Archīum Ateneo
publishDate 2014
url https://archium.ateneo.edu/theses-dissertations/265
_version_ 1712577815276158976

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