VILNIUS TECH University Research Management System (CRIS)
Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/114677

Low power algorithm for shoe mounted inertial navigation system

Publication Type (CRIS)
Straipsnis nerecenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in non-peer-reviewed foreign international conference proceedings (P2a)
Publication Type (eLABa)
Straipsnis nerecenzuotame konferencijos darbų leidinyje / Article in an un-reviewed conference proceedings (P2)
VILNIUS TECH Research Priorities and Topics
Elektros ir elektroniniai įrenginiai bei sistemos / Electrical and electronic devices and systems (MC02)
Lithuanian Intelligent Specialization
Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies (L104)
Author(s)
AuthorAffiliation
Adamonis, Ramūnas  
Kompiuterijos ir ryšių technologijų katedra / Department of Computer Science and Communications Technologies (0559)  
Title
Low power algorithm for shoe mounted inertial navigation system
[en]
Ramūnas Adamonis
Is part of
Baltische Sommerschule „Technische Informatik / Informationstechnik“ (BaSoTI 10 in Riga), 28.-29.07.2014 : Baltic Young PhD Conference
Published In
YearStart PageEnd Page
2014
7
19
Publisher
Rostock : Universität Rostock. Wissenschaftsverbund IuK
Extent
p. 7-19
URI
URI
https://hdl.handle.net/20.500.14911/114677
Cited references
10
Science / Art Area
Technologijos mokslai / Technological sciences (T)
Field of Science / Art
Elektros ir elektronikos inžinerija / Electrical and electronic engineering (T001)
Abstract (en)

Inertial navigation systems are adopted in various scenarios where systems cannot rely on external reference source. In this work to create an algorithm for human movement tracking acceleration and magnetic field signals are used. The present work addresses problems of human walking pattern recognition, heading estimation, specially with possible tilt compensation and step length estimation from accelerometer data. All problem solutions are combined into one algorithm. Finally algorithm was tested to check the performance of low power algorithm.

Resource Type (COAR)
TextConference outputConference proceedingsConference paper
Language
Anglų / English (en)
Country
Vokietija / Germany (DE)
Accounting Year
2015
eLABa ID
15329687