Paper Info
Title
Smart Home Simulation Using Avatar Control And Probabilistic Sampling
Abstract
Development, testing and validation of algorithms for smart home applications are often complex, expensive and tedious processes. Research on simulation of resident activity patterns in Smart Homes is an active research area and facilitates development of algorithms of smart home applications. However, the simulation of passive infrared (PIR) sensors is often used in a static fashion by generating equidistant events while an intended occupant is within sensor proximity. This paper suggests the combination of avatar-based control and probabilistic sampling in order to increase realism of the simulated data. The number of PIR events during a time interval is assumed to be Poisson distributed and this assumption is used in the simulation of Smart Home data. Results suggest that the proposed approach increase realism of simulated data, however results also indicate that improvements could be achieved using the geometric distribution as a model for the number of PIR events during a time interval.
Year
DOI
Venue
2015
10.1109/PERCOMW.2015.7134059
2015 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATION WORKSHOPS (PERCOM WORKSHOPS)
Field
DocType
Citations 
Signal processing,Data modeling,Computer science,Intelligent sensor,Home automation,Software,Sampling (statistics),Poisson distribution,Probabilistic logic,Distributed computing
Conference
1
PageRank 
References 
Authors
0.36
6
4
Name
Order
Citations
PageRank
Jens Lundström192.92
Jonathan Synnott2205.25
Eric Järpe3122.40
Chris D. Nugent41150128.39