Deriving Effective Human Activity Recognition Systems through Objective Task Complexity Assessment
Published in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2020
Abstract
We present a framework for the objective complexity assessment of HAR tasks that directly supports practitioners’ decision making of whether and how to employ HAR for their deployments. We map a HAR task onto a vectorial representation that allows us to analyse the inherent challenges of the task and to draw conclusions through similarity analysis with regards to existing tasks. We validate our complexity assessment framework on 23 HAR datasets and derive a data-driven categorization of human activity recognition. We demonstrate how our objective analysis can be used to inform the deployment of HAR systems in practical scenarios.
Recommended citation: ‘Hiremath, Shruthi K., and Thomas Plötz. “Deriving effective human activity recognition systems through objective task complexity assessment.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, no. 4 (2020): 1-24.’