Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Khanh Nguyen-Huu"'
Publikováno v:
Sensors, Vol 22, Iss 15, p 5709 (2022)
In recent years, due to the ubiquitous presence of WiFi access points in buildings, the WiFi fingerprinting method has become one of the most promising approaches for indoor positioning applications. However, the performance of this method is vulnera
Externí odkaz:
https://doaj.org/article/b84754bade714519871485daa5623e9d
Publikováno v:
International Journal of Engineering and Technology Innovation, Vol 8, Iss 4 (2018)
In this study, a lifelogging system is proposed for logging the daily activities of a user using a smartphone and a smartwatch cooperatively in indoor environments. The proposed system attempts to recognize a user’s activities of daily living, incl
Externí odkaz:
https://doaj.org/article/da487deacaad404ba5d974bc64479c59
Autor:
Khanh, Nguyen Huu
Publikováno v:
In Journal of the Egyptian Mathematical Society April 2016 24(2):193-199
Publikováno v:
2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET).
Autor:
Khanh Nguyen-Huu, Seon-Woo Lee
Publikováno v:
Journal of Institute of Control, Robotics and Systems. 26:734-739
Publikováno v:
Artificial Intelligence in Data and Big Data Processing ISBN: 9783030976095
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1ef2e50a66ddea0074d6de5a7d77c07
https://doi.org/10.1007/978-3-030-97610-1_48
https://doi.org/10.1007/978-3-030-97610-1_48
Autor:
Seon-Woo Lee, Khanh Nguyen-Huu
Publikováno v:
Mobile Information Systems, Vol 2021 (2021)
The pedestrian dead reckoning (PDR) technique is widely used due to its ease of implementation on portable devices such as smartphones. However, the position error that accumulates over time is the main drawback of this technology. In this paper, we
Autor:
Khanh Nguyen-Huu, Seon-Woo Lee
Publikováno v:
Robot Intelligence Technology and Applications ISBN: 9789811377792
RiTA
RiTA
Due to the high demand of location-based services in buildings, various indoor positioning methods have been proposed. Among them, the Pedestrian Dead Reckoning (PDR) systems have received much attention because of the widespread deployment of smartp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::273b3c5d36c27be3e490cc50029fde88
https://doi.org/10.1007/978-981-13-7780-8_11
https://doi.org/10.1007/978-981-13-7780-8_11
Publikováno v:
IPIN
In this paper, an indoor positioning system of pedestrian dead reckoning (PDR), with WiFi fingerprint and map-matching techniques, is proposed on a smartphone. Based on five different holding styles, which are classified by using decision tree method
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