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Found 6 papers, 0 papers with code
Feature Relevance Analysis to Explain Concept Drift -- A Case Study in Human Activity Recognition
As a main result of this article, it is shown that feature relevance analysis cannot only be used to detect the concept drift but also to explain the reason for the drift when a limited number of typical reasons for the concept drift are predefined.
StressNAS: Affect State and Stress Detection Using Neural Architecture Search
Smartwatches have rapidly evolved towards capabilities to accurately capture physiological signals.
From User-independent to Personal Human Activity Recognition Models Exploiting the Sensors of a Smartphone
In this study, a novel method to obtain user-dependent human activity recognition models unobtrusively by exploiting the sensors of a smartphone is presented.
Personalizing human activity recognition models using incremental learning
At first, the recognition is based on user-independent model.
Importance of user inputs while using incremental learning to personalize human activity recognition models
Inertial sensor data from three body positions are used, and the classification is based on Learn++ ensemble method.
Effect of context in swipe gesture-based continuous authentication on smartphones
This work investigates how context should be taken into account when performing continuous authentication of a smartphone user based on touchscreen and accelerometer readings extracted from swipe gestures.
