Fitbit Wristband
Heart rate, step count, sleep duration and quality
TILES-2018 Data Set Overview
We present a novel longitudinal multimodal corpus of physiological and behavioral data collected from direct clinical providers in a hospital workplace. We designed the study to investigate the use of off-the-shelf wearable and environmental sensors to understand individual-specific constructs such as job performance, interpersonal interaction, and well-being of hospital workers over time in their natural day-to-day job settings.
We collected behavioral and physiological data from n = 212 participants over 10 weeks through Internet-of-Things Bluetooth data hubs, wearable sensors (including a wristband, a biometrics-tracking garment, a smartphone, and an audio-feature recorder), together with a battery of surveys to assess personality traits, behavioral states, job performance, and well-being over time. Besides the default use of the data set, we envision several novel research opportunities and potential applications, including multi-modal and multi-task behavioral modeling, authentication through biometrics, and privacy-aware and privacy-preserving machine learning.
The data set is publicly available and we encourage researchers to use it for data mining and testing their own human behavior models. For a full description of the data set, please refer to the following paper:
Mundnich, K., Booth, B.M., L’Hommedieu, M. et al. TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers. Sci Data 7, 354 (2020). https://doi.org/10.1038/s41597-020-00655-3
If you use this data set, we request that you cite this paper in your work.
