Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

These recent years have witnessed the importance of indoor localization and tracking as
people are spending more time indoors, which facilitates determining the location of an …

Simultaneous localization and mapping (SLAM) has been extensively researched in past
years particularly with regard to range-based or visual-based sensors. Instead of deploying …

With the popularization of machine learning (ML) techniques and the increased chipset's
performance, the application of ML to pedestrian localization systems has received …

Sensor-based human activity monitoring and detection have become an emerging field of
intense research and development in recent years due to its immense applications in wide …

Artificial Intelligence (AI) technologies and their related applications are now developing at a
rapid pace. Indoor positioning will be one of the core technologies that enable AI …

Crowdsourcing platforms are an effective way for enterprises to improve innovation abilities,
reduce design costs and shorten design cycles during the boom of mass personalized …

Can fingerprinting-based localization benefit from simultaneous observations from different
users? This article provides an affirmative answer to this question. Existing fingerprinting …

In smartphone-based pedestrian navigation systems, detailed knowledge about user activity
and device placement is a key information. Landmarks such as staircases or elevators can …

Recently, the map matching-assisted positioning method based on micro-electromechanical
systems (MEMS) inertial devices has become a research hotspot for indoor pedestrian …