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Wyszukujesz frazę "indoor system" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Augmented Reality and Indoor Positioning in Context of Smart Industry: A Review
Autorzy:
Chandel, Kuhelee
Åhlén, Julia
Seipel, Stefan
Powiązania:
https://bibliotekanauki.pl/articles/2201158.pdf
Data publikacji:
2022
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
industrial augmented reality
indoor positioning system
smart manufacturing
smart factory
Opis:
Presently, digitalization is causing continuous transformation of industrial processes. However, it does pose challenges like spatially contextualizing data from industrial processes. There are various methods for calculating and delivering real-time location data. Indoor positioning systems (IPS) are one such method, used to locate objects and people within buildings. They have the potential to improve digital industrial processes, but they are currently underutilized. In addition, augmented reality (AR) is a critical technology in today’s digital industrial transformation. This article aims to investigate the use of IPS and AR in manufacturing, the methodologies and technologies employed, the issues and limitations encountered, and identify future research opportunities. This study concludes that, while there have been many studies on IPS and navigation AR, there has been a dearth of research efforts in combining the two. Furthermore, because controlled environments may not expose users to the practical issues they may face, more research in a real-world manufacturing environment is required to produce more reliable and sustainable results.
Źródło:
Management and Production Engineering Review; 2022, 13, 4; 72--87
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Inertial Sensors Integrated with Clothing to Localize People Inside Buildings
Autorzy:
Kawecki, Jaroslaw
Oleksy, Pawel
Januszkiewicz, Lukasz
Powiązania:
https://bibliotekanauki.pl/articles/227250.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
inertial sensors
wearable systems
step length estimation
indoor localization
localization system
intelligent T-shirt
Opis:
This article presents a wearable system that localizes people in the indoor environment, using data from inertial sensors. The sensors measure the parameters of human motion, tracking the movements of the torso and foot. For this purpose, they were integrated with shirt and the shoe insole. The values of acceleration measured by the sensors are sent via Bluetooth to a smartphone. The localization algorithm implemented on the smartphone, presented here, merges data from the shirt and the shoe to track the steps made by the user and filter out the localization errors caused by movements the shirt and torso. The experimental verification of the algorithm is also presented.
Źródło:
International Journal of Electronics and Telecommunications; 2020, 66, 1; 53-58
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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