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Recognition of Human Motion Related Activities from Sensors

Vera Nadales, Maria Josefa (2010) Recognition of Human Motion Related Activities from Sensors. Masterarbeit, University of Malaga.

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Kurzfassung

This work presents the design and evaluation of an activity recognition system for seven important motion related activities. The only sensor used is an Inertial Measurement Unit (IMU) worn on the belt. For classification Bayesian techniques, based on relevant features of the IMU raw data which are calculated in real time are applied. Based on a complete labelled data set, i.e. supervised by an observing human judge, a K2 learning algorithm by Cooper and Herskovits was used to construct the Bayesian Network (BN) of the features and compared to a Naive Bayes approach. The comparison of dynamic and static inference algorithms, based on the evaluation of the labelled data sets recorded from 16 male and female subjects show that a Hidden Markov Model (HMM) based on a learnt BN provides the best results.

Dokumentart:Hochschulschrift (Masterarbeit)
Titel:Recognition of Human Motion Related Activities from Sensors
Autoren:
AutorenInstitution oder E-Mail-Adresse der Autoren
Vera Nadales, Maria JosefaUniversity of Malaga
Datum:2010
Seitenanzahl:185
Status:veröffentlicht
Stichwörter:context inference, activity recognition, human movement, accelerometers, gyroscopes, magnetometers, inertial measurement unit, digital signal processing, Bayesian networks, Bayesian filters, grid based filter, classification, probabilistic inference
Institution:University of Malaga
Abteilung:Escuela Técnica Superior de Ingeniería de Telecomunicación
HGF - Forschungsbereich:Verkehr und Weltraum (alt)
HGF - Programm:Weltraum (alt)
HGF - Programmthema:W KN - Kommunikation/Navigation
DLR - Schwerpunkt:Weltraum
DLR - Forschungsgebiet:W KN - Kommunikation/Navigation
DLR - Teilgebiet (Projekt, Vorhaben):W - Vorhaben GNSS2/Neue Dienste und Produkte (alt)
Standort: Oberpfaffenhofen
Institute & Einrichtungen:Institut für Kommunikation und Navigation > Nachrichtensysteme
Hinterlegt von: Korbinian Frank
Hinterlegt am:05 Okt 2010 08:42
Letzte Änderung:12 Dez 2013 21:02

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