UROP Project Listing System
 
Project Title:
Machine Learning on Wearable Devices
Supervisor:HUI Pan
Co-Supervisor:-
Quota:6
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.
Course type: UROP1100 UROP2100 UROP3100  
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 
 



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