Affect Sensing on Smartphone - Possibilities of Understanding Cognitive Decline in Aging Population
Rajib Rana, John Reilly, Raja Jurdak, Wen Hu, Xue Li, Jeffrey Soar

TL;DR
This paper reviews how smartphones can be used for affect sensing to monitor health, especially for understanding cognitive decline in aging populations, highlighting current challenges and future possibilities.
Contribution
It provides an overview of existing affect sensing methods on smartphones and discusses key challenges to enable practical deployment for health monitoring.
Findings
Smartphones have potential for continuous affect monitoring.
Affect sensing can aid in early detection of cognitive decline.
Several technical and ethical challenges remain to be addressed.
Abstract
Due to increasing sensing capacity, smartphones offer unprecedented opportunity to monitor human health. Affect sensing is one such essential monitoring that can be achieved on smartphones. Information about affect can be useful for many modern applications. In particular, it can be potentially used for understanding cognitive decline in aging population. In this paper we present an overview of the existing literature that offer affect sensing on smartphone platform. Most importantly, we present the challenges that need to be addressed to make affect sensing on smartphone a reality.
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Taxonomy
TopicsDigital Mental Health Interventions · Emotion and Mood Recognition · Mental Health Research Topics
