Tool: Watch-DMLT

Wearable sensors, such as smartwatches, have become increasingly prevalent across domains such as healthcare, sports, and education, enabling continuous monitoring of physiological and behavioral data. In the context of education, these technologies offer new opportunities to study cognitive and affective processes, including engagement, attention, and performance. However, the lack of scalable, synchronized, and high-resolution tools for multimodal data acquisition remains a significant barrier to the widespread adoption of Multimodal Learning Analytics in real-world educational settings.
Watch-DMLT (an acronym for Data Monitoring and Logging Tool for Smartwatches enabling real-time synchronization and activity data storage) is a data acquisition application for the Fitbit Sense 2. It enables real-time collection, synchronization, and storage of physiological and motion data across multiple devices. Unlike most commercial solutions, Watch-DMLT provides high-frequency access to sensor data such as heart rate, acceleration, and orientation, features often restricted in consumer-grade devices. By leveraging wearable capabilities, Watch-DMLT offers a scalable and accessible solution tailored for MMLA research in real-world learning environments.

Related Articles

• Becerra, A., Villegas, P., & Cobos, R. (2025). Real-Time Multimodal Data Collection Using Smartwatches and Its Visualization in Education.

Authors: Ruth Cobos, Álvaro Becerra and Pablo Villegas