Human-Computer Intelligent Interaction: A Survey

Human-computer interaction (HCI) is one of the foremost challenges of our society. New paradigms for interacting with computers are being developed which will define the 21st century and enable the world to communicate and interact effortlessly and intuitively. In this short survey, we explain the major research clusters comprising the state of the art, and indicate promising future research directions.

[1]  Richard Bowden,et al.  Large Lexicon Detection of Sign Language , 2007, ICCV-HCI.

[2]  Nicu Sebe,et al.  Facial expression recognition from video sequences , 2002, Proceedings. IEEE International Conference on Multimedia and Expo.

[3]  Gang Hua,et al.  PEYE: Toward a Visual Motion Based Perceptual Interface for Mobile Devices , 2007, ICCV-HCI.

[4]  Nicu Sebe,et al.  Content-based multimedia information retrieval: State of the art and challenges , 2006, TOMCCAP.

[5]  Ramakant Nevatia,et al.  Real Time Body Pose Tracking in an Immersive Training Environment , 2007, ICCV-HCI.

[6]  Michael J. Black,et al.  Implicit Probabilistic Models of Human Motion for Synthesis and Tracking , 2002, ECCV.

[7]  Alex Pentland,et al.  Human computing and machine understanding of human behavior: a survey , 2006, ICMI '06.

[8]  Nicu Sebe,et al.  Wavelet based texture classification , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[9]  Chen Wu,et al.  Pose and Gaze Estimation in Multi-camera Networks for Non-restrictive HCI , 2007, ICCV-HCI.

[10]  Nicu Sebe,et al.  Toward Improved Ranking Metrics , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Bart Thomee,et al.  An Artificial Imagination for Interactive Search , 2007, ICCV-HCI.

[12]  Gang Qian,et al.  Real-Time Automatic Kinematic Model Building for Optical Motion Capture Using a Markov Random Field , 2007, ICCV-HCI.

[13]  Michael S. Lew,et al.  Information theoretic view-based and modular face detection , 1996, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition.

[14]  José García Rodríguez,et al.  Nonparametric Modelling and Tracking with Active -GNG , 2007, ICCV-HCI.

[15]  Harpreet S. Sawhney,et al.  Multiple Cue Integrated Action Detection , 2007, ICCV-HCI.

[16]  Armando Barreto,et al.  Non-intrusive Physiological Monitoring for Automated Stress Detection in Human-Computer Interaction , 2007, ICCV-HCI.

[17]  John Markus Bjørndalen,et al.  A System for Hybrid Vision- and Sound-Based Interaction with Distal and Proximal Targets on Wall-Sized, High-Resolution Tiled Displays , 2007, ICCV-HCI.

[18]  Stefan Winkler,et al.  Vision-Based Projected Tabletop Interface for Finger Interactions , 2007, ICCV-HCI.

[19]  Bart Thomee,et al.  Interactive Feedback for Video Tracking Using a Hybrid Maximum Likelihood Similarity Measure , 2007, ICCV-HCI.

[20]  Andrei State.  Exact Eye Contact with Virtual Humans , 2007, ICCV-HCI.

[21]  Maja Pantic,et al.  Combined Support Vector Machines and Hidden Markov Models for Modeling Facial Action Temporal Dynamics , 2007, ICCV-HCI.

[22]  Nicu Sebe,et al.  Authentic Facial Expression Analysis , 2004, FGR.

[23]  Mads Nielsen,et al.  Computer Vision — ECCV 2002 , 2002, Lecture Notes in Computer Science.

[24]  Gwen Littlewort,et al.  Drowsy Driver Detection Through Facial Movement Analysis , 2007, ICCV-HCI.