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» Identifying emotional states using keystroke dynamics
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ECAI
2008
Springer
13 years 10 months ago
Modeling the Dynamics of Mood and Depression
Both for developing human-like virtual agents and for developing intelligent systems that make use of knowledge about the emotional state of the user, it is important to model the ...
Fiemke Both, Mark Hoogendoorn, Michel C. A. Klein,...
TNN
2010
139views Management» more  TNN 2010»
13 years 3 months ago
Identification of finite state automata with a class of recurrent neural networks
A class of recurrent neural networks is proposed and proven to be capable of identifying any discrete-time dynamical system. The application of the proposed network is addressed in...
Sung Hwan Won, Iickho Song, Sun-Young Lee, Cheol H...
ISCA
2007
IEEE
130views Hardware» more  ISCA 2007»
14 years 2 months ago
Dynamic prediction of architectural vulnerability from microarchitectural state
Transient faults due to particle strikes are a key challenge in microprocessor design. Driven by exponentially increasing transistor counts, per-chip faults are a growing burden. ...
Kristen R. Walcott, Greg Humphreys, Sudhanva Gurum...
VR
2007
IEEE
160views Virtual Reality» more  VR 2007»
14 years 2 months ago
Dynallax: Solid State Dynamic Parallax Barrier Autostereoscopic VR Display
A novel barrier strip autostereoscopic (AS) display is demonstrated using a solid-state dynamic parallax barrier. A dynamic barrier mitigates restrictions inherent in static barri...
Tom Peterka, Robert Kooima, Javier Girado, Jinghua...
ICRA
2010
IEEE
142views Robotics» more  ICRA 2010»
13 years 7 months ago
A quadratic regulator-based heuristic for rapidly exploring state space
Abstract— Kinodynamic planning algorithms like RapidlyExploring Randomized Trees (RRTs) hold the promise of finding feasible trajectories for rich dynamical systems with complex...
Elena Leah Glassman, Russ Tedrake