eCite Digital Repository

Context sensing and feature discovery for improving classifications


Shahriar, MS and Rahman, MS, Context sensing and feature discovery for improving classifications, Proceedings of the 1st ACM Workshop on Context Sensing and Activity Recognition 2015, 1 November 2015, Seoul, Korea, pp. 37-40. ISBN 978-145033842-4 (2015) [Non Refereed Conference Paper]

Not available

DOI: doi:10.1145/2820716.2820720


We propose context sensing as features for improved accuracy in classifications in our ongoing research. In many applications, features extracted from purposed sensors may not be enough for classification tasks accurately. Context features can help to discriminate classes in such cases. To address the problem, we first present how context can be used as features in classifications. Further, we present a case study on energy appliance identification from aggregated power usage for a household using context sensing and features.

Item Details

Item Type:Non Refereed Conference Paper
Keywords:classifications, context as feature, context sensing
Research Division:Information and Computing Sciences
Research Group:Information systems
Research Field:Information systems not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Other information and communication services
Objective Field:Other information and communication services not elsewhere classified
UTAS Author:Shahriar, MS (Dr Sumon Shahriar)
ID Code:118002
Year Published:2015
Deposited By:Information and Communication Technology
Deposited On:2017-06-30
Last Modified:2017-06-30

Repository Staff Only: item control page