Probabilistic Cascading Classifier for Energy-Efficient Activity Monitoring in Wearables

A cascading approach for optimizing energy and memory requirements of a machine learning model running on an embedded device.

Continual Learning for Activity Recognition

Continual learning formulation in the context of sensor systems.

Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification

A stress classification and personalization framework based on Convolutional Neural Networks.