An MQTT-Based Context-Aware Wearable Assessment Platform for Smart Watches

Abstract

Smart watches offer a unique opportunity to enact ubiquitous learning scenarios. The various built-in sensors in these watches provide contextual information that can be directly incorporated into ubiquitous learning designs. This paper presents the design and implementation of a wearable assessment platform based on the Samsung Gear S2 Smart Watch. Implemented using the IoT MQTT protocol, this platform allows the system to automatically subscribe to and publish questions to students based on their current context. For example, students will get notified on their smartwatch with a question related to their location or situation derived from the smartwatch sensor data. The system uses the PONTE MQTT server and is integrated with Google's Classroom.