Real-time gesture recognition, evaluation and feed-forward correction of a multimodal Tai-Chi platform

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

Volumn 5270 LNCS, Issue , 2008, Pages 30-39

  Portillo Rodriguez, Otniel ^a   Sandoval Gonzalez, Oscar O ^a   Ruffaldi, Emanuele ^a   Leonardi, Rosario ^a   Avizzano, Carlo Alberto ^a   Bergamasco, Massimo ^a  

^a SCUOLA SUPERIORE SANT ANNA   (Italy)

Author keywords

Audio position feedback; Multimodal interfaces; Real time 3D time independent gesture recognition; Real time descriptor; Vibrotactile feedback; Virtual realty and skills transfer

Indexed keywords

CONTROL THEORY; FEEDBACK; FLOW INTERACTIONS; INTERACTIVE COMPUTER SYSTEMS; NEURAL NETWORKS; STUDENTS; TECHNICAL PRESENTATIONS; THREE DIMENSIONAL; TIME VARYING NETWORKS;

AUDIO-POSITION FEEDBACK; MULTIMODAL INTERFACES; REAL-TIME 3D TIME-INDEPENDENT GESTURE RECOGNITION; REAL-TIME DESCRIPTOR; VIBROTACTILE FEEDBACK; VIRTUAL REALTY AND SKILLS TRANSFER;

GESTURE RECOGNITION;

EID: 56649115754     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-87883-4_4     Document Type: Conference Paper

References (18)

1. Byrne, R., Russon, A.: Learning by imitation: a Hierarchical Approach. Behavioral and Brain Sciences 21, 667-721 (1998)
2. Spitzer, M.: The mind within the net: models of learning, thinking and acting. The MIT press, Cambridge (1998)
3. Viatt, S., Kuhn, K.: Integration and synchronization of input modes during multimodal human-computer interaction. In: Proc. Conf. Human Factors in Computing Systems CHI (1997)
4. Tan Chua, P.: Training for physical Tasks in Virtual Environments: Tai Chi. In: Proceedings of the IEEE Virtual Reality (2003)
5. Cole, R., Mariani, J.: Multimodality. In: Survey of the State of the Art of Human Language Technolgy, Carnegie Mellon University, Pittsburgh, PA (1995)
6. Sharma, R., Pavlovic, V., Huang, T.: Toward Multimodal Human-Computer Interface. Proceedings of the IEEE 86(5), 853-869 (1998)
7. Akay, M., Marsic, I., Medl, A.: A System for Medical Consultation and Education Using Multimodal Human/Machine Communication. IEEE Transactions on information technology in Biomedicine 2 (1998)
8. Hauptmann, A.G., McAvinney, P.: Gesture with Speech for Graphics Manipulation. Man-Machines Studies 38 (1993)
9. Oviatt, S.: User-Centered Modeling and Evaluation of Multimodal Interfaces. Proceedings of the IEEE 91 (1993)
10. Bizzi, E, Mussa-Ivaldi, F.A. and Shadmehr, R. : System for human trajectory learning in virtual environmets. US Patent No. 5,554,033 (1996)
11. Lieberman, J., Breazeal, C.: Development of a wearable Vibrotactile FeedBack Suit for Accelerated Human Motor Learning. In: IEEE International Conference on Robotics and Automation (2007)
12. Bloomfield, A., Badler, N.: Virtual Training via vibrotactile arrays. Teleoperator and Virtual Environments 17 (2008)
13. Hollander, A.J., Furness III, T.A.: Perception of Virtual Auditory Shapes. In: Proceedings of the International Conference on Auditory Displays (1994)
14. Qian, G.: A gesture-Driven Multimodal Interactive Dance System. In: IEEE International Conference on Multimedia and Expo ICME (2004)
15. Bobick, W.: State-Based Approach to the Representation and Recognition of Gesture. Pattern Analysis and Machine Intelligence, IEEE Transactions 19 (1997)
16. Farmer, J.: State-space reconstruction in the presence of noise. Physics (1991)
17. Jain, A.K., Murty, M.N., Flynn, P.J.: Data Clustering: A review. ACM Computing Surveys 31 (1999)
18. Hong, P., Turk, M.: Gesture Modeling and Recognition Using Finite State Machines. In: Proceedings of the Fourth IEEE International Conference on Automatic Face and recognition (2000)