A proposal of location aware shopping assistance using memory-based resampling

• Main Authors: Wan Bejuri, Wan Mohd. Yaakob, Mohamad, Mohd. Murtadha, Raja Mohd. Radzi, Raja Zahilah, Salleh, Mazleena, Yusof, Ahmad Fadhil
• Format: Conference or Workshop Item
• Published: 2018
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/id/eprint/81820/; http://dx.doi.org/10.1007/978-981-10-5281-1_54

The range of memory specifications of location aware shopping assistance poses difficulties for the developer (in terms of increased time and effort) when it comes to developing a resampling algorithm for mobile devices. Thus, a new resampling algorithm is required with a flexible capacity that would cater for a range of computing device memory devices specifications. This paper develops a memory based resampling in standard particle filter. The memory resampling is capable to read memory specifications of mobile devices before determines the most suitable resampling functions. The authors aim to extend this work in future by implementing their proposed method in a number of different emerging applications (in example, medical applications and real time locator systems).