Activity-based Profiling for Energy Harvesting Estimation
arXiv:2305.08025 · doi:10.1145/3583120.3589833
Abstract
We propose a novel activity-based profiling framework to estimate IoT users' harvested energy based on their daily activities. Energy is harvested from natural sources such as the kinetic movement of IoT users. The profiling framework captures the users' physical activity data to define activity-based profiles. These profiles are utilized to estimate the harvested energy by IoT users. We train and evaluate our framework based on a real Fitbit dataset.
2 pages, 2 Figures,This is an accepted posterpaper at the ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) 2023