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Reliable Real-Time Recognition of motion related human activities using MEMS inertial sensors

Frank, Korbinian and Vera Nadales, María Josefa and Robertson, Patrick and Angermann, Michael (2010) Reliable Real-Time Recognition of motion related human activities using MEMS inertial sensors. ION GNSS 2010, 21. Sep. - 24. Sep. 2010, Portland, Oregon, USA.

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Official URL: http://www.ion.org/meetings/session.cfm?meetingID=30&t=F&s=5

Abstract

Knowledge about the current motion related activity of a person is information that is required or useful for a number of applications. Technical advances in the past years have reduced prices for sensors capable of providing the necessary input, in particular MEMS based inertial measurement units (IMUs). In addition to a low price, unobtrusiveness is a requirement for a activity recognition system. We achieve this by mounting one IMU to the belt of the user. In this work we present the design of our recognition system, including the features computed from the raw accelerations and turn rates as well as four different classification algorithms. These are used in Bayesian techniques trained from a semi naturalistic, labeled data set. The best classifier recognizes the activities ’Sitting’, ’Standing’, ’Walking’, ’Running’, ’Jumping’, ’Falling’ and ’Lying’ of any person with recognition recalls and precisions between 93 and 100% except for an only 80% recall rate for ’Falling’ as that suffers from its very short duration.

Item URL in elib:https://elib.dlr.de/64996/
Document Type:Conference or Workshop Item (Paper)
Title:Reliable Real-Time Recognition of motion related human activities using MEMS inertial sensors
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Frank, Korbiniankorbinian.frank (at) dlr.deUNSPECIFIED
Vera Nadales, María JosefaUNSPECIFIEDUNSPECIFIED
Robertson, Patrickpatrick.robertson (at) dlr.deUNSPECIFIED
Angermann, Michaelmichael.angermann (at) dlr.deUNSPECIFIED
Date:21 September 2010
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Activity Recognition, Context Inference, Bayesian Networks, Inertial Navigation.
Event Title:ION GNSS 2010
Event Location:Portland, Oregon, USA
Event Type:international Conference
Event Dates:21. Sep. - 24. Sep. 2010
Organizer:ION
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W KN - Kommunikation/Navigation
DLR - Research area:Space
DLR - Program:W KN - Kommunikation/Navigation
DLR - Research theme (Project):W - Vorhaben GNSS2/Neue Dienste und Produkte (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Frank, Korbinian
Deposited On:05 Oct 2010 08:40
Last Modified:31 Jul 2019 19:28

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