2021 & 2022
Jiajie Li is a third-year student doing Bachelor of Advanced Computing. He is an intern under the supervision of of Prof. Athman Bouguettaya at the University of Sydney. He is currently involved in the energy harvesing project.
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.
- Activity-based Profiling for Energy Harvesting Estimation. Jiajie Li, Amani Abusafia, Abdallah Lakhdari, and Athman Bouguettaya. IPSN 2023, Texas, USA, Poster paper.