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Reputation-Aware Data Fusion for Quantifying Hand Tremor Severity Form Interaction with a Smartphone
Tetiana Biloborodova, Inna Skarga-Bandurova, Igor Kotsiuba, Illia Skarha-Bandurov
839 - 844
10.3233/SHTI210297
Research Article
Studies in Health Technology and Informatics
Volume 281: Public Health and Informatics
Abstract

In this paper, we present an approach to improve the accuracy of hand tremor severity in Parkinson’s patients in real-life unconstrained environments. The system leverages data achieved from daily interaction people with their smartphones and uses technologies for classifying and combining data. We describe the basic concept of data fusion and demonstrate how different combination techniques can improve the accuracy of tremor detection. The fusion enable to achieve the 23.5% improvement with respect to the average of individual classification models.

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