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Found 6 papers, 1 papers with code
Adaptive Energy Management for Self-Sustainable Wearables in Mobile Health
To solve this problem, we propose a principled algorithm referred as AdaEM.
ECO: Enabling Energy-Neutral IoT Devices through Runtime Allocation of Harvested Energy
The proposed framework uses an efficient iterative algorithm to compute initial energy allocations at the beginning of a day.
MGait: Model-Based Gait Analysis Using Wearable Bend and Inertial Sensors
Movement disorders, such as Parkinson's disease, affect more than 10 million people worldwide.
Transfer Learning for Human Activity Recognition using Representational Analysis of Neural Networks
The typical approach is training a HAR classifier offline with known users and then using the same classifier for new users.
An Energy-Aware Online Learning Framework for Resource Management in Heterogeneous Platforms
To address this need, system-on-chips (SoC) that are at the heart of these devices provide a variety of control knobs, such as the number of active cores and their voltage/frequency levels.
Online Human Activity Recognition using Low-Power Wearable Devices
Recent research on HAR focuses on using smartphones due to their widespread use.
