2014/07/22 by Rajib Rana, John Reilly, Rana, Rajib +10
Computer Science · Psychology · #Computers and Society (cs.CY) #Digital Mental Health Interventions #Emotion and Mood Recognition #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Mental Health Research Topics #cs.CY #cs.HC
paper · pdf · doi:10.48550/arxiv.1407.5910
This paper has been withdrawn due to some conceptual error
openalex publication_date 2014/07/22 · arxiv created 2015/06/18 · arxiv updated 2015/06/19 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
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.