Shinon kei

Mental illness, especially depression is one of the most pressing concerns all over the world. We propose a system estimating mental states of a user from activity log derived from sensors. It uses the analogy of thermometer for the visualization. Everyone should have gone through hardships with fever, and they can understand how much tired by this format.

Related Publications

  1. Prerna Garg, Jayasankar Santhosh, Andreas Dengel and Shoya Ishimaru. “Stress Detection by Machine Learning and Wearable Sensors”. In Proceedings of the 26th International Conference on Intelligent User Interfaces Companion (IUI '21), 2021, to appear. PDF
  2. Shoya Ishimaru and Koichi Kise. “Quantifying the Mental State on the Basis of Physical and Social Activities”. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (UbiComp '15 Adjunct), pp. 1217–1220, 2015. BibTeX PDF