A Bluetooth Locationbased Indoor Positioning System for Asset Tracking in Warehouse In recent year, with the development of mobile device and wireless communication, the concept of Internet of things (IoT) emerges and extensive research and development of IoT application enables the realtime indoor localization for asset tracking through wireless sensor network. Many studies have focused on the positioning technology using Global Positioning System (GPS), Radio Frequency Identification (RFID) and ZigBee, but little attention has been paid on the industrial application of lowcost Bluetooth locationbased indoor positioning system in asset localization. In this paper, a Bluetooth locationbased indoor positioning system is proposed for warehouse asset tracking purpose to achieve a costeffective asset management solution.

RFID RSS Fingerprinting System for Wearable Human Activity Recognition Alternative healthcare solutions have been identified as a viable approach to ameliorate the increasing demand for telehealth and prompt healthcare delivery. Moreover, indoor localisation using different technologies and approaches have greatly contributed to alternative healthcare solutions. In this paper, a costeffective, radio frequency identification (RFID)based indoor location system that employs received signal strength (RSS) information of passive RFID tags is presented. The proposed system uses RFID tags placed at different positions on the target body. The mapping of the analysed data against a set of reference position datasets is used to accurately track the vertical and horizontal positioning of a patient within a confined space in realtime. The Euclidean distance model achieves an accuracy of 98% for all sampled activities. However, the accuracy of the activity recognition algorithm performs below the threshold performance for walking and standing, which is due to similarities in the target height, weight and body density for both activities. The obtained results from the proposed system indicate significant potentials to provide reliable health measurement tool for patients at risk.