Exploiting Color Sensors to Provide Optimal Lighting and Anonymous Tracking in Stores

To compete with online shopping, retailers are constantly looking for ways to improve the display of their products and to track customers to obtain shopping patterns. We propose a general framework that exploits simple color sensors on ceilings to tackle the above-mentioned challenges. Our first contribution is a tunable lighting system that...

Leveraging lighting systems with novel color sensor-based applications

Lighting systems are attracting many researchers and companies to investigate the potential of light beyond illumination, by creating new smart illumination systems or developing indoor positioning methods. The main challenge in realizing novel systems is to process light information in such a way that new insights are discovered. There are...

Leveraging spatial model to improve indoor tracking

In this paper, we leverage spatial model to process indoor localization results and then improve the track consisting of measured locations. We elaborate different parts of spatial model such as geometry, topology and semantics, and then present how they contribute to the processing of indoor tracks. The initial results of our experiment reveal...

Spatial model-aided indoor tracking

In order to address the problem of indoor pedestrian tracking, this thesis reports a research on spatial models' ability to reduce tracking error of a WiFi positioning system. There are three main objectives in this research. First, it is to build a suitable spatial model for tracking. Second, it is to develop a tracking algorithm that can make...