Keiichi Yasumoto Professor
Ubiquitous Computing Systems Laboratory Nara Institute of Science and Technology
1) Estimate heart rate only by embedded censor with smartphone, and 2) estimate precisely changes in heart rate occurred by changes in walking speed and road inclination. The result sample includes: ‘Walk more slowly. Current heart rate is 106. Workload level is moderate.’
We built a heart rate estimation model to study the relationship between the two following data through neural network: 1) Ambulation data collected by smartphone, and 2) heart rate counted by heart rate meter.
Simple and easy way to increase the level of health through smartphone