Research Projects

Core Temperature estimation

This project has designed and evaluated a method for core temperature estimation using wearable sensors. The method combines Gagge's two-node model and sensor readings via wearable and environmental sensors. The model calculates heat stress in a human body, then it estimate core and surface body temperature. The method also leverages actual sensor readings (continuously measured skin temperature or occasionally measured core temperature) to determine optimal parameter set representing one's thermoregulation response (sweating and blood flow increase). The method has been validated through 120 hours of real dataset.

Representative Papers

  1. Takashi Hamatani, Akira Uchiyama, Teruo Higashino, “On-line Core Temperature Estimation Using Wearable Sensors During Sport with Variable Exercise Intensity”, IPSJ Journal, Vol.58, No.11, pp.1818-1831, Nov. 2017.
  2. Takashi Hamatani, Akira Uchiyama, Teruo Higashino, “Estimating Core Body Temperature Under Hot Environment Based on Human Thermal Model Using Wearable Sensors”, IPSJ Journal, Vol.56, No.10, pp.2033-2043, Oct. 2015.

Fluid intake recognition & estimation

TBA


Representative Papers

  1. Takashi Hamatani, Moustafa Elhamshary, Akira Uchiyama, Teruo Higashino, "FluidMeter: Gauging the Human Daily Fluid Intake Using Smartwatches" in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 2, Issue 3, Article 113, Sep. 2018
  2. Takashi Hamatani, Moustafa Elhamshary, Akira Uchiyama, Teruo Higashino, “Smartwatch Knows How Much You Drink”, in Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services Companion (MobiSys'17), pp.162, ACM, 2017 (Poster)