The scale of wireless technologies' penetration in our daily lives, primarily triggered by
Internet of Things (IoT)-based smart cities, is bea-coning the possibilities of novel …

As a popular topic, indoor positioning has gradually drawn the attention of both academia
and business. Numerous location based services including healthcare, repository tracking …

As a widely established and accessible infrastructure, wireless local area networks (WLANs)
have emerged as a viable option for indoor localization for both mobile and stationary users …

Location prediction in an indoor environment is a challenge, and this has been a research
trend for recent years, with many potential applications. In this paper, machine-learning …

Recent technological advances enabled companies to collect, store and process a large
amount of data. Automated collection of human behavior is one of the recent developments …

This paper focuses on WiFi indoor positioning based on received signal strength, a common
local positioning approach with a number of prominent advantages such as low cost and …

To improve the user's localization estimation in indoor and outdoor environment a novel
radiolocalization system using deep learning dedicated to work both in indoor and outdoor …

In this paper, we present an innovative inertial navigation system based on the data
collected through the Inertial Measurement Unit (IMU) embedded in a commercial smart …

Despite the abundance of localization applications, the tracking devices have never been
truly realized in E-textiles. Unobtrusive and flexible integration of tracking devices with …

Purpose With the rapid development of the indoor spaces positioning technologies such as
the radio-frequency identification (RFID), Bluetooth and WI-FI, the locations of indoor spatial …