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. We are also in the process of curating and releasing the additional data we used to evaluate our trained models, which you can learn more about here. 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.
