Fitbit Wristband
Heart rate, step count, sleep duration and quality
TILES-2019 Data Set Overview
We present a novel longitudinal multimodal corpus of physiological and behavioral data collected from medical residents working in the intensive care unit. We designed the study to investigate the use of off-the-shelf wearable and environmental sensors to understand changes in job performance, teamwork, and well-being over time in a highly demanding work environment.
We collected behavioral and physiological data from n = 57 participants over 3 weeks through Internet-of-Things Bluetooth data hubs, wearable sensors (including a wristband, a Bluetooth sensor, personal smartphones, and an audio-feature recorder), together with a battery of surveys to assessed personality traits, behavioral states, job performance, and well-being over time. We envision several novel research opportunities and potential applications, including multi-modal and multi-task behavioral modeling, estimation of peer social networks, 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:
Yau, J.C., Girault, B., Feng, T., Mundnich, K., Nadarajan, A., Booth, B.M., Ferrera, E., Lerman, K., Hsieh, E. and Narayanan, S., TILES-2019: A longitudinal physiological and behavioral data set of medical residents in an intensive care unit. TBD (2021). https://doi.org
If you use this data set, we request that you cite this paper in your work.
