Paper Info
Title
Inferring Availability For Communication In Smart Homes Using Context
Abstract
This paper presents a technique for inferring the availability of people to receive communications based on their current situation. This technique uses a context model that associates situations with learned preferences for communications. Situations are represented as a tuple composed of identity, time, place, activity, correspondent, and communication modality. A place-based activity recognition technique is used to recognize the current activity from sensor data. Availability for communications is learned from history of the occupant's preferences of availability for each situation. The system is demonstrated using a dataset of availability preferences recorded from the occupant of an instrumented apartment over a period of 4 weeks. Performance of the system is compared under various assumptions of independence of availability from some of the context elements. The paper is completed with a discussion of how such techniques can be used to construct an intelligent communications assistant for smart home services.
Year
Venue
Keywords
2018
2018 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS WORKSHOPS (PERCOM WORKSHOPS)
ambient intelligence, context-aware services, smart homes, activity recognition
Field
DocType
ISSN
Context-aware services,Apartment,Activity recognition,Computer science,Tuple,Ambient intelligence,Computer network,Home automation,Context model,Human–computer interaction
Conference
2474-2503
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Julien Cumin101.01
Gregoire Lefebvre28212.13
Fano Ramparany311919.06
James L. Crowley432091274.79