This paper proposes a dead-reckoning (DR)/WiFi fingerprinting/magnetic matching (MM)
integration structure that uses off-the-shelf sensors in consumer portable devices and …

Indoor localization systems using WiFi received signal strength (RSS) or pedestrian dead
reckoning (PDR) both have their limitations, such as the RSS fluctuation and the …

Sensor fusion frameworks for indoor localization are developed with the specific goal of
reducing positioning errors. Although many conventional localization frameworks without …

Gait and posture are regular activities which are fully controlled by the sensorimotor cortex.
In this study, fluctuations of joint angle and asymmetry of foot elevation in human walking …

Recently, imaged-based localization has become a hotspot in indoor localization research
due to its high accuracy and no additional infrastructure requirements. However …

Smartphone based indoor positioning has greatly helped people in finding their positions in
complex and unfamiliar buildings. One popular positioning method is by utilizing indoor …

Instant and precise localization of a mobile user is fundamental for supporting various
sophisticated indoor location-aware services. This paper focuses on achieving …

A new extreme learning machine (ELM) localization technique that uses received signal
strength indicator fingerprints only is proposed for multifloor environments. This structured …

Aimed at the challenge of generating indoor localization databases with daily life
crowdsourcing-based inertial sensor data, this paper proposes an anchor point-based …

Indoor navigation has been developing rapidly over the last few years. However, it still faces
a number of challenges and practical issues. This paper proposes a novel WiFi/MEMS …