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Pregled bibliografske jedinice broj: 305303

Human Movement Detection Based on Acceleration Measurements and k-NN Classification


Fudurić, Darko; Siladi, Denis; Žagar, Mario
Human Movement Detection Based on Acceleration Measurements and k-NN Classification // The IEEE Region 8 International Conference on Computer as a tool (EUROCON 2007) / Szumny, Rafal ; Bury, Marek (ur.).
Varšava: Warsaw University of Technology, 2007. str. 589-594 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 305303 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Human Movement Detection Based on Acceleration Measurements and k-NN Classification

Autori
Fudurić, Darko ; Siladi, Denis ; Žagar, Mario

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
The IEEE Region 8 International Conference on Computer as a tool (EUROCON 2007) / Szumny, Rafal ; Bury, Marek - Varšava : Warsaw University of Technology, 2007, 589-594

ISBN
1-4244-0813-X

Skup
The IEEE Region 8 International Conference on Computer as a Tool (EUROCON 2007)

Mjesto i datum
Varšava, Poljska, 09.09.2007. - 12.09.2007

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
acceleration; motes; Tiny-OS; movement detection; k-NN classification

Sažetak
This paper addresses the problem of human movement detection and recognition using acceleration measurements and classification of acquired data with k-NN classification algorithm. For achieving the functionality of movement detection, two Crossbow’ s Mica2 motes are positioned on a person’ s body in order to measure the acceleration in the X, Y and Z axes. Several characteristic movements, such as falling, walking, running, sitting and standing can be successfully classified. We have developed a data acquisition, analysis and simulation environment based on the Tiny-OS, nesC and .NET technology. High level specialized movement detection tool was created. This tool can acquire, save, replay (simulate saved data), step-by-step present and classify all events during the measuring process. The paper presents the obtained results along with the system configuration and the initially required conditions.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
036-0361959-1965 - Programsko inženjerstvo u sveprisutnom računarstvu (Žagar, Mario, MZO ) ( CroRIS)
036-0361959-1979 - Oblikovanje i implementacija programskih jezika specijalne namjene (Basch, Danko, MZO ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Darko Fudurić (autor)

Avatar Url Mario Žagar (autor)


Citiraj ovu publikaciju:

Fudurić, Darko; Siladi, Denis; Žagar, Mario
Human Movement Detection Based on Acceleration Measurements and k-NN Classification // The IEEE Region 8 International Conference on Computer as a tool (EUROCON 2007) / Szumny, Rafal ; Bury, Marek (ur.).
Varšava: Warsaw University of Technology, 2007. str. 589-594 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Fudurić, D., Siladi, D. & Žagar, M. (2007) Human Movement Detection Based on Acceleration Measurements and k-NN Classification. U: Szumny, R. & Bury, M. (ur.)The IEEE Region 8 International Conference on Computer as a tool (EUROCON 2007).
@article{article, author = {Fuduri\'{c}, Darko and Siladi, Denis and \v{Z}agar, Mario}, year = {2007}, pages = {589-594}, keywords = {acceleration, motes, Tiny-OS, movement detection, k-NN classification}, isbn = {1-4244-0813-X}, title = {Human Movement Detection Based on Acceleration Measurements and k-NN Classification}, keyword = {acceleration, motes, Tiny-OS, movement detection, k-NN classification}, publisher = {Warsaw University of Technology}, publisherplace = {Var\v{s}ava, Poljska} }
@article{article, author = {Fuduri\'{c}, Darko and Siladi, Denis and \v{Z}agar, Mario}, year = {2007}, pages = {589-594}, keywords = {acceleration, motes, Tiny-OS, movement detection, k-NN classification}, isbn = {1-4244-0813-X}, title = {Human Movement Detection Based on Acceleration Measurements and k-NN Classification}, keyword = {acceleration, motes, Tiny-OS, movement detection, k-NN classification}, publisher = {Warsaw University of Technology}, publisherplace = {Var\v{s}ava, Poljska} }




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