Pregled bibliografske jedinice broj: 758502
The challenges of indoor movement analysis
The challenges of indoor movement analysis // Proceedings of The 12th International Conference on Informatics and Information Technologies
Bitola, Sjeverna Makedonija, 2015. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 758502 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The challenges of indoor movement analysis
Autori
Nižetić Kosović, Ivana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of The 12th International Conference on Informatics and Information Technologies
/ - , 2015
Skup
International Conference on Informatics and Information Technologies
Mjesto i datum
Bitola, Sjeverna Makedonija, 24.04.2015. - 26.04.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
indoor positioning; movement analysis; semantic annotation
Sažetak
Increasing need for development of location- based services is already pushing its limits. Besides providing current object's position, there exists a demand for the analysis of previous movements in order to extract more meaningful information and knowledge about objects behaviour. The most of the studies considering movement analysis are focused on outdoor environments relying on frequent GPS data recordings. Limitation of current indoor positioning techniques leads to the lack of reliable indoor location-based services and also to the lack of research on analysis and discovery of indoor movement patterns considering semantics of the movement. In this paper, the process of indoor movement analysis is proposed and is given an overview of existing methods, trends and challenges for each step of the process. Several emerging and challenging scientific and technological topics are addressed: (1) ubiquitous positioning especially considering indoor environments ; (2) storing and representing tracking data and heterogeneous environmental data (such as contextual information, environmental setup and time attributes) ; (3) enriching trajectories with semantic and performing exhaustive real- time queries and algorithms for analysis.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Ivana Nižetić Kosović
(autor)