Recently, device-free human behavior recognition has become a hot research topic and has
achieved significant progress in the field of ubiquitous computing. Among various …

Existing fingerprint-based indoor localization uses either fine-grained channel state
information (CSI) from the physical layer or coarse-grained received signal strength indicator …

Navigating through unstructured environments is a basic capability of intelligent creatures,
and thus is of fundamental interest in this research. Navigation is a complex task that relies …

Precise indoor localization is an increasingly demanding requirement for various emerging
applications, like Virtual/Augmented reality and personalized advertising. Current indoor …

Indoor localization has been a hot area of research over the past two decades. Since its
advent, it has been steadily utilizing the emerging technologies to improve accuracy, and …

Complementary to the fine-grained channel state information (CSI) and coarse-grained
received signal strength indicator (RSSI) measurements, the mid-grained spatial beam …

Precise indoor localization is a key requirement for the fifth-generation (5G) and beyond
wireless communication systems with applications. To that end, many high accuracy signal …

With the rapid development of indoor location-based services (LBSs), the demand for
accurate localization keeps growing as well. To meet this demand, we propose an indoor …

Positioning is becoming a key component in many Internet of Things (IoT) applications. The
main challenges and limitations are the narrow bandwidth, low power and low cost which …

Smartphone-based indoor localization has been widely explored to meet the demand for
high-precision, cost-effective solutions within indoor positioning systems. Prior …