Zoe Hooi Yee Er
Zoe is an Honours student partaking in the Crowdsourcing Energy As A Service Project under the supervision of Prof. Athman Bouguettaya. Her role in research involves developing a machine-learning-based approach to estimate harvested energy from Fitbit data.
Majoring in Software Development and minoring in Computational Data Science, Zoe is a Dalyell scholar enrolled in a Bachelor of Advanced Computing. In 2019, she also had the chance to undertake a year-long student exchange programme at the University of Pennsylvania where she took classes that ranged from Internet Law and Cybersecurity to iOS Mobile Developement. Some of her other interests in the field of computer science include human-computer interaction and user experience (UX).
Machine Learning-based Approach to estimate harvested energy from Fitbit data.
Current Wearable technologies such as Fitbit allow capturing health-related data. For instance, an apple watch permits its wearer to keep track of their ECG, heartbeats, footsteps, etc. Some fitness apps would combine the health-related data with the profile and eating habits to calculate the burned calories and help people achieve their fitness goals. In this project, we aim to extend the capability of wearables to estimate the energy amount that an individual would harvest from their daily activities.