Achieving Multi-User Capabilities through an Indoor Positioning System based on BLE Beacons

Abstract

Achieving multiuser capabilities through an indoor positioning system based on BLE beacons.

Generating Data in an Intelligent Environment and Systematically Predicting User Activity via Bluetooth Low Energy Beacons and Machine Learning

“…and Hardware architecture (i.e., Smart sensors, smart switches, BLE Beacons, etc.) of the Smart Spaces Lab of Middlesex University London as described in [1]. The system configuration is displayed in Figure 1.…”

“…Table 1 illustrates a sample of the type of Data used/final feature space within this research by utilising the sensory equipment in the Lab and their respective descriptions. It is crucial to note that the Received Signal Strength (RSSI) algorithm used to determine the User location via BLE Beacons is based on [1]. However, any improvements to the algorithm are considered out of scope for this investigation.…”

“…Smart Homes (i.e., a form of IE), equipped with smart technology, allow customers to experience customised services. However, enabling User-specific customised services within a multiuser IE is driven on the identification of each User and their specific location within the IE [1]. An ancillary benefit of solving the challenge is the copious quantity of generated Data, giving insight into the User's behaviour (e.g., eating habit, sleeping pattern, activity pattern, etc.).…”

“…The study was carried out at Middlesex University's Smart Spaces Lab utlises Bluetooth Low Energy (BLE) technology building on the approach described in [1], This study generated User Data, enabling User Insight generation and Activity Recognition (AR) via Machine Learning (ML). The remainder of the paper is segmented into three sections.…”

Context-aware Plan Repair in Environments shared by Multiple Agents

“…The planner handles these constraints when generating the plan. In the current implementation, durative actions are generated to provide a physical object to serve the senior suffering from negative emotions; the work can be extended by adding instantaneous responses, such as turning on the TV and modifying lights intensity, as in (Quinde et al 2020), and further increasing multi-user capability as the robot is no longer a bottleneck resource.…”