SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1217)


In this work, we present SWear, a generalized human crowdsensing platform to collect human behavior data on smartwatches. It uses the stand-alone capabilities of smartwatches to collect data without being connected to smartphones. SWear collects both sensor data (e.g. GPS and audio) and self-reported survey data through micro surveys administered on the watch. SWear has been validated in multiple studies to understand the relationship between humans and their context.


Crowdsensing Smartwatches Mobile computing Data collection 


  1. 1.
    Seneviratne, S., Hu, Y., Nguyen, T., Lan, G., Khalifa, S., Thilakarathna, K., Seneviratne, A.: A survey of wearable devices and challenges. IEEE Commun. Surv. Tutorials 19(4), 2573–2620 (2017)CrossRefGoogle Scholar
  2. 2.
    Ganti, R., Ye, F., Lei, H.: Mobile crowdsensing: current state and future challenges. IEEE Commun. Mag. 49(11), 32–39 (2011).
  3. 3.
    Cai, L., Boukhechba, M., Kaur, N., Wu, C., Barnes, L.E., Gerber, M.S.: Adaptive passive mobile sensing using reinforcement learning. In: 2019 IEEE 20th International Symposium on A World of Wireless, Mobile and Multimedia Networks. IEEE (2019)Google Scholar
  4. 4.
    Xiong, H., Huang, Y., Barnes, L.E., Gerber, M.S.: Sensus: a cross-platform, general-purpose system for mobile crowdsensing in human-subject studies. In: Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 415–426 (2016)Google Scholar
  5. 5.
    Boukhechba, M., Daros, A.R., Fua, K., Chow, P.I., Teachman, B.A., Barnes, L.E.: DemonicSalmon: Monitoring mental health and social interactions of college students using smartphones. Smart Health 9–10, 192–203 (2018)CrossRefGoogle Scholar
  6. 6.
    Boukhechba, M., Cai, L., Wu, C., Barnes, L.E.: ActiPPG: Using deep neural networks for activity recognition from wrist-worn photoplethysmography (PPG) sensors. Smart Health 14, 100082 (2019)CrossRefGoogle Scholar
  7. 7.
    Homdee, N., Boukhechba, M., Feng, Y.W., Kramer, N., Lach, J., Barnes, L.E.: Enabling Smartphone-based Estimation of Heart Rate. arXiv preprint arXiv:1912.08910 (2019)
  8. 8.
    Boukhechba, M., Chow, P., Fua, K., Teachman, B.A., Barnes, L.E.: Predicting social anxiety from global positioning system traces of college students: feasibility study. JMIR Mental Health 5(3), e10101 (2018)CrossRefGoogle Scholar

Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Engineering Systems and EnvironmentUniversity of VirginiaCharlottesvilleUSA
  2. 2.School of Data ScienceUniversity of VirginiaCharlottesvilleUSA

Personalised recommendations