By Richard Khoury, Christopher Drummond
This e-book constitutes the refereed complaints of the twenty ninth Canadian convention on synthetic Intelligence, Canadian AI 2016, held in Victoria, BC, Canada, in May/June 2016. The 12 complete papers and 27 brief papers awarded have been rigorously reviewed and chosen from ninety seven submissions. the focal point of the convention was once at the following matters: activities and behaviours, audio and visible reputation, common language processing, reasoning and studying, streams and dispensed computing.
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Additional resources for Advances in Artificial Intelligence: 29th Canadian Conference on Artificial Intelligence, Canadian AI 2016, Victoria, BC, Canada, May 31 - June 3, 2016. Proceedings
Springer, Heidelberg (2012) 23. : Action recognition by dense trajectories. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 3169–3176. IEEE (2011) 24. : Robust 3D action recognition with random occupancy patterns. , Schmid, C. ) ECCV 2012, Part II. LNCS, vol. 7573, pp. 872–885. Springer, Heidelberg (2012) 25. : Mining actionlet ensemble for action recognition with depth cameras. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 1290–1297. IEEE (2012) 26. : Learning actionlet ensemble for 3D human action recognition.
If an event occurs that deviates from what is expected by a case, the agent records an expectation failure. It then decides whether cases may be adapted to model new activities not yet recognized to match observed events or whether the observed An Agent-Based Architecture for Sensor Data Collection and Reasoning 19 events truly represent a failed execution of an activity and warrants intervention by the home. The agent uses annotations associated with constraints to distinguish between adaptable cases and cases representing a serious violation of an activity.
The biometric authentication is an automatic method of verifying the identity of an individual based on the measurement of his or her unique physiological traits or behavioral characteristics . Since biometrics cannot be lost, stolen, or overheard like keys or passwords, it is an excellent candidate for identity veriﬁcation . c Springer International Publishing Switzerland 2016 R. Khoury and C. ): Canadian AI 2016, LNAI 9673, pp. 21–32, 2016. 1007/978-3-319-34111-8 3 22 C. Chang et al. ) .