Functional Data Analysis on Wearable Sensor Data: A Systematic Review

TL;DR

This systematic review explores functional data analysis methods for wearable sensor data, highlighting recent advances, available software tools, and open datasets to support research in health sciences and beyond.

Contribution

The paper provides a comprehensive review of functional data analysis techniques applied to wearable sensor data and introduces accessible software packages and open datasets.

Findings

Functional data analysis is increasingly used for wearable sensor data.

Several software packages facilitate analysis of sensor data.

Open datasets support research and method validation.

Abstract

Wearable devices and sensors have recently become a popular way to collect data, especially in the health sciences. The use of sensors allows patients to be monitored over a period of time with a high observation frequency. Due to the continuous-on-time structure of the data, novel statistical methods are recommended for the analysis of sensor data. One of the popular approaches in the analysis of wearable sensor data is functional data analysis. The main objective of this paper is to review functional data analysis methods applied to wearable device data according to the type of sensor. In addition, we introduce several freely available software packages and open databases of wearable device data to facilitate access to sensor data in different fields.