A review of smart home applications based on Internet of Things

M Alaa, AA Zaidan, BB Zaidan, M Talal… - Journal of network and …, 2017 - Elsevier
The new and disruptive technology of smart home applications (hereafter referred to as
apps) based on Internet of Things (IoT) is largely limited and scattered. To provide valuable …

Enhanced fingerprinting and trajectory prediction for IoT localization in smart buildings

K Lin, M Chen, J Deng, MM Hassan… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Location service is one of the primary services in smart automated systems of Internet of
Things (IoT). For various location-based services, accurate localization has become a key …

[HTML][HTML] A human–machine interface based on eye tracking for controlling and monitoring a smart home using the internet of things

A Bissoli, D Lavino-Junior, M Sime, L Encarnação… - Sensors, 2019 - mdpi.com
People with severe disabilities may have difficulties when interacting with their home
devices due to the limitations inherent to their disability. Simple home activities may even be …

[HTML][HTML] Implementing deep learning techniques in 5G IoT networks for 3D indoor positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)

B El Boudani, L Kanaris, A Kokkinis, M Kyriacou… - Sensors, 2020 - mdpi.com
In the near future, the fifth-generation wireless technology is expected to be rolled out,
offering low latency, high bandwidth and multiple antennas deployed in a single access …

[HTML][HTML] Fusing bluetooth beacon data with Wi-Fi radiomaps for improved indoor localization

L Kanaris, A Kokkinis, A Liotta, S Stavrou - Sensors, 2017 - mdpi.com
Indoor user localization and tracking are instrumental to a broad range of services and
applications in the Internet of Things (IoT) and particularly in Body Sensor Networks (BSN) …

A theoretical analysis on sampling size in WiFi fingerprint-based localization

B Huang, R Yang, B Jia, W Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper deals with a key problem in WiFi fingerprint-based localization, namely how to
sample a sufficient number of received signal strength (RSS) measurements during an …

Environment-aware regression for indoor localization based on WiFi fingerprinting

GM Mendoza-Silva, AC Costa… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
Data enrichment through interpolation or regression is a common approach to deal with
sample collection for Indoor Localization with WiFi fingerprinting. This paper provides …

Device-free human localization and tracking with UHF passive RFID tags: A data-driven approach

W Ruan, QZ Sheng, L Yao, X Li, NJG Falkner… - Journal of Network and …, 2018 - Elsevier
Localizing and tracking human movement in a device-free and passive manner is promising
in two aspects: i) it neither requires users to wear any sensors or devices, ii) nor it needs …

[HTML][HTML] A TinyML Deep Learning Approach for Indoor Tracking of Assets

D Avellaneda, D Mendez, G Fortino - Sensors, 2023 - mdpi.com
Positioning systems have gained paramount importance for many different productive
sector; however, traditional systems such as Global Positioning System (GPS) have failed to …

Cooperative multiple target nodes localization using TOA in mixed LOS/NLOS environments

H Chen, G Wang, X Wu - IEEE sensors journal, 2019 - ieeexplore.ieee.org
In this paper, the time-of-arrival based cooperative localization problem under mixed line-of-
sight/non-line-of-sight (LOS/NLOS) conditions is addressed. Under the conditions of …