Grasping movements recognition in 3D space using a bayesian approach

2009 International Conference on Advanced Robotics, ICAR 2009

Volumn , Issue , 2009, Pages

  Faria, Diego R ^a   Aliakbarpour, Hadi ^a   Dias, Jorge ^a  

^a UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

3-D SPACE; AUTOMATED SYSTEMS; AUTONOMOUS CAPABILITY; BAYES RULE; BAYESIAN APPROACHES; GRASP RECOGNITION; GRASPING MOVEMENT; HAND MOVEMENT; HUMAN BEHAVIORS; LEARNING PHASE; MAGNETIC TRACKING; MULTI-SENSOR INFORMATION; MULTIPLICATIVE UPDATES; OBJECT DISPLACEMENT; OBJECT MANIPULATION; REACH-TO-GRASP MOVEMENTS; SEGMENTATION DATA; SENSORS DATA; SYNCHRONIZED DATA; TIME-STAMP;

BAYESIAN NETWORKS; GESTURE RECOGNITION; ROBOTICS; ROBOTS; THREE DIMENSIONAL;

SENSORS;

EID: 70449371203     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. J. Rett and J. Dias, "Human-robot interface with anticipatory characteristics based on Laban Movement Analysis and Bayesian models", Proceedings of the IEEE 10th International Conference on Rehabilitation Robotics (ICORR), 2007, pp. 257-268.
2. E.-J Holden and R. Owens, "Representing the finger-only topology for hand shape recognition", In Machine Graphics & Vision International Journal, Volume 12 , Issue 2, 2003, pp. 187 - 202
3. R. Urtasun, D. J. Fleet and P. Fua. "Gaussian Process Dynamical Models for 3D people tracking", In Conference on Computer Vision and Pattern Recognition (CVPR) New York, June 2006.
4. S. Schaal, J. Peters, J. Nakanishi, and A. Ijspeert, "Learning Movement Primitives," in International Symposium on Robotics Research (ISRR2003), Springer Tracts in Advanced Robotics. Ciena, Italy: Springer, 2004.
5. Odest Chadwicke Jenkins and Maja J Matarić, "Performance- Derived Behavior Vocabularies: Data-driven Acqusition of Skills from Motion", International Journal of Humanoid Robotics, 2004.
6. C. Sminchisescu, A. Kanaujia, Z. Li, and D. Metaxas. "Conditional models for contextual human motion recognition", In IEEE International Conference on Computer Vision, volume 2, 2005, pp. 1808-1815.
7. Motor Representations for Hand Gesture Recognition and Imitation. Manuel Lopes and José Santos-Victor. IROS Workshop on Robot Programming by Demonstration. Las Vegas, USA, 2003.
8. D.R. Faria and J. Dias, "Hand Trajectory Segmentation and Classification Using Bayesian Techniques", Workshop on Grasp and Task Learning by Imitation 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, Nice, France - Sept, 22-26, 2008, pp. 44-49.
9. Polhemus Liberty Electromagnetic Motion Tracking System: http://www.polhemus.com/?page=Motion-Liberty.
10. Videre Design Stereo Camera STH-MDCS3-9cm: http://www.videredesign.com/ vision/sth-mdcs3.htm.
11. T. Svoboda, D. Martinec and T. Pajdla. "A convenient multicamera self-calibration for virtual environments". PRESENCE: Teleoperators and Virtual Environments, , August 2005. MIT Press, pp 407-422, 14(4).
12. K. S. Arun , T. S. Huang , S. D. Blostein. "Least-squares fitting of two 3-D point sets", IEEE Transactions on Pattern Analysis and Machine Intelligence, v.9 n.5, Sept. 1987, p.698-700.
13. 5DT Data-Glove: http://www.5dt.com/products/pdataglovemri.html.
14. D. R. Faria and J. Dias. "3D Hand Trajectory Segmentation by Curvatures and Hand Orientation for Classification through a Probabilistic Approach". In Proceedings (to appear) of The 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS'09, St. Louis, MO, USA.
15. D. C. Knill and A. Pouget, "The Bayesian brain: the role of uncertainty in neural coding and computation," TRENDS in Neurosciences, vol. 27, 2004, pp. 712-719.