The importance and use of positioning system based digital occupancy assessment has been emphasized increasingly by both practitioners and researchers. This study investigates indoor navigation by focusing on various indoor positioning technologies, approaches or algorithm and techniques. This system utilizes personal smart mobile devices, or non-personal nor non-smart mobile devices such as object tags and beacons. The aim of this  research is select and evaluate positioning systems products which can generate digital real time data by locating and tracking people and objects to identify an indoor navigation technology that would be the best to implement as prototype in a living lighting lab at Jönköping University. Thus, several positioning technologies were surveyed, and among them are Bluetooth Low Energy (BLE), Wi-Fi, Radiofrequency Identification (RFID), Geomagnetic, Visual Light Communication (VLC), Ultra-Wideband (UW), Ultrasound, Acoustic signal based, Zigbee and Inertial. The indoor positioning techniques such as Received Signal Strength Indicator (RSSI), Angle of Arrival (AoA), Time of Flight (ToF) or Time of Arrival (ToA), Time Difference of Arrival (TDoA), Return Time of Flight (RToF) have also been discussed. For the indoor position technologies’ approaches or algorithm perspective the Proximity, Fingerprinting, Triangulation, and Dead reckoning are also well clarified in this study. This research also provides the navigation challenges and limitations for implementing a positioning solution prototype in a living lighting lab at Jönköping University. This study performs a systematic review using the PRISMA-P (Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols) methodology for analyzing the status of the positioning system based digital occupancy assessment and identifying future research strategies.