Detailed models for sensor network simulations and their impact on network performance
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
SENSORIA: A New Simulation Platform for Wireless Sensor Networks
SENSORCOMM '07 Proceedings of the 2007 International Conference on Sensor Technologies and Applications
Modelling & simulation oriented components of wireless sensor network using DEVS formalism
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 2
Accurate activity recognition in a home setting
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
DiaSim: A parameterized simulator for pervasive computing applications
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Human Activity Recognition and Pattern Discovery
IEEE Pervasive Computing
Coping with multiple residents in a smart environment
Journal of Ambient Intelligence and Smart Environments
A long-term evaluation of sensing modalities for activity recognition
UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
The design of a portable kit of wireless sensors for naturalistic data collection
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Using a live-in laboratory for ubiquitous computing research
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
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In this paper we propose a two-phase methodology for designing datasets that can be used to test and evaluate activity recognition algorithms. The trade offs between time, cost and recognition performance is one challenge. The effectiveness of a dataset, which contrasts the incremental performance gain with the increase in time, efforts, and number and cost of sensors is another challenging area that is often overlooked. Our proposed methodology is iterative and adaptive and addresses issues of sensor use modality and its effect on overall performance. We present our methodology and provide an assessment for its effectiveness using both a simulation model and a real world deployment.