Ricardo Sato

Ricardo Sato profile picture

PhD Student
School of Engineering and Computer Science

Thesis Info

Research Interests: Machine learning, Stream and sensor data, Neural networks
Thesis Title: Recognition of High Fall Risk (HFR) Activities in Elderly Individuals Utilising Smartphones and Smartwatches: A Machine Learning Approach
Supervisor: https://people.wgtn.ac.nz/heitor.gomes