Machine Learning on Wearable Devices
Project Description
Wearable devices such as Google Glass, Fitbit, and iWatch are becoming more and more popular. These devices are equipped with sensors to measure movement and the world around us, with communications tools that put us in touch with work, home, family, friends, service providers and strangers. Such device is poised to teach itself how to work better, based upon how you use it, which applications you run, and how you use it to communicate with others. In this project, we will investigate machine learning methods and potential application on wearable devices.
Supervisor
HUI Pan
Quota
6
Course type
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles
The applicants will conduct research under the supervision of the professor and other senior postgraduate students in the research group. They will also help with patent preparation if new inventions are made for the project.
Applicant's Learning Objectives
1. Learn principles and basic skills for conducting research.
2. Learn skills for paper and patent writing.
3. Gain knowledge in machine learning and Android programming
Complexity of the project
Moderate