Learning time-based presence probabilities

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6696 LNCS, Issue , 2011, Pages 79-96

  Krumm, John ^a   Brush, A J Bernheim ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

away prediction; energy efficiency; human routines; Location prediction; presence prediction

Indexed keywords

AWAY PREDICTION; GPS DATA; HUMAN ROUTINES; LOCATION PREDICTION; PERVASIVE COMPUTING APPLICATIONS; PRESENCE PREDICTION; TEST ALGORITHMS; TIME ALGORITHMS; LEARNING TIME;

ENERGY EFFICIENCY; FORECASTING; GLOBAL POSITIONING SYSTEM; SURVEYS; UBIQUITOUS COMPUTING; DIGITAL STORAGE;

SCHEDULING ALGORITHMS;

EID: 79958821015     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21726-5_6     Document Type: Conference Paper

References (10)

1. Gupta, M., Intille, S.S., Larson, K.: Adding GPS-Control to Traditional Thermostats: An Exploration of Potential Energy Savings and Design Challenges. In: Tokuda, H., Beigl, M., Friday, A., Brush, A.J.B., Tobe, Y. (eds.) Pervasive 2009. LNCS, vol. 5538, pp. 95-114. Springer, Heidelberg (2009)
2. Pesaran, A., Vlahinos, A., Stuart, T.: Cooling and Preheating of Batteries in Hybrid Electric Vehicles. In: 6th ASME-JSME Thermal Engineering Joint Conference (2003)
3. Ashbrook, D., Starner, T.: Using GPS to Learn Significant Locations and Predict Movement across Multiple Users. Personal and Ubiquitous Computing 7(5), 275-286 (2003)
4. Patterson, D.J., Liao, L., Fox, D., Kautz, H.: Inferring High-Level Behavior from Low-Level Sensors. In: Dey, A.K., Schmidt, A., McCarthy, J.F. (eds.) UbiComp 2003. LNCS, vol. 2864, pp. 73-89. Springer, Heidelberg (2003)
5. Krumm, J., Horvitz, E.: Predestination: Inferring Destinations from Partial Trajectories. In: Dourish, P., Friday, A. (eds.) UbiComp 2006. LNCS, vol. 4206, pp. 243-260. Springer, Heidelberg (2006)
6. Mozer, M.C., Vidmar, L., Dodier, R.M.: The Neurothermostat: Predictive Optimal Control of Residential Heating Systems. Advances in Neural Information Processing Systems 9, 953-959 (1997)
7. Gao, G., Whitehouse, K.: The Self-Programming Thermostat: Optimizing Setback Schedules based on Home Occupancy Patterns. In: First ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings, Berkeley, CA USA (2009)
8. Szalay, A., et al.: Indexing the Sphere with the Hierarchical Triangular Mesh, Microsoft Research, MSR-TR-2005-123 (2005)
9. Carroll, J.: Workers' Average Commute Round-Trip Is 46 Minutes in a Typical Day (2007), (cited 2010) http://www.gallup.com/poll/28504/Workers- Average-Commute-RoundTrip-Minutes-Typical-Day.aspx
10. Davidoff, S., Zimmerman, J., Dey, A.K.: How Routine Learners can Support Family Coordination. In: 28th ACM Conference on Human Factors in Computing Systems (CHI 2010), Atlanta, Georgia, USA (2010)