SWear: Sensing Using WEARables. Generalized Human Crowdsensing on Smartwatches
- 7 Downloads
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.
KeywordsCrowdsensing Smartwatches Mobile computing Data collection
- 2.Ganti, R., Ye, F., Lei, H.: Mobile crowdsensing: current state and future challenges. IEEE Commun. Mag. 49(11), 32–39 (2011). https://doi.org/10.1109/mcom.2011.6069707
- 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.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
- 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)