Indoor human detection and tracking using advanced smart floor

Abstract

Automatic indoor human tracking has attracted noticeable research concern recently due to the increasing demands for enhancing the majority of the offered services within smart home environment. Many human tracking approaches have been suggested and discussed. However, the problem of reliable human tracking remains untackled. The aim of this paper is to develop and implement an advanced tracking approach using smart floor that is capable of detecting and tracking people accurately and reliably. The proposed approach can be used as infrastructure for various smart home services. A proof-of-concept testbed has been designed, implemented, and validated via several case studies.