Ricardo Sato
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
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