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Haptics Papers


3D Sketching

  • Sachs, E., A. Roberts, et al. (1991). 3-Draw: A tool for designing 3D Shapes. IEEE Computer Graphics Applications 11(6): 18-26.

  • Butterworth, J., A. Davidson, et al. (1992). 3DM: a three dimensional modeler using a head-mounted display. Proceedings of the 1992 Symposium on Interactive 3D Graphics. New York, ACM.

  • Deering, M.F. (1995). HoloSketch: a virtual reality sketching/animation tool. ACM Transition Computer Human Interaction 2(3): 220-238.

  • Wesche, G. and H.-P. Seidel (2001). FreeDrawer: a free-form sketching system on the responsive workbench. Proceedings of the ACM symposium on Virtual reality software and technology. Baniff, Alberta, Canada, ACM.

  • Diehl, H., F. Muller, et al. (2004). From raw 3D-sketches to exact CAD product models - concept for an assistant-system. Eurographics Workshop on Sketch-Based Interfaces and Modeling.

  • Sharline, E. and M.C. Sousa. (2005). Drawing in space using the 3D tractus. Second IEEE Workshop on New Directions in 3D User Interfaces (IEEE VR 2005).

Animation

  • Wai-Chun, L., Z. Feng, et al. (2004). Motion editing with data glove. Proceedings of the 2004 ACM SIGCHI International Conference on Advances in computer entertainment technology. Singapore, ACM.

  • Taku Komura, W.-C. L. (2006). "Real-time locomotion control by sensing gloves." Computer Animation and Virtual Worlds 17(5): 513-525.

Augmented Reality

  • Myron, W. K. (1993). "Environmental technology: making the real world virtual." Commun. ACM 36(7): 36-37.

Collaborative Works

  • Barrass, S. and T. Barrass (2006). "Musical creativity in collaborative virtual environments." Virtual Reality 10(2): 149-157.

CyberGlove Alternatives

  • Hernandez-Rebollar, J. L., R. W. Lindeman, et al. (2002). A multi-class pattern recognition system for practical finger spelling translation. Multimodal Interfaces, 2002. Proceedings. Fourth IEEE International Conference on.

  • Lieberman, J. and C. Breazeal (2007). "TIKL: Development of a Wearable Vibrotactile Feedback Suit for Improved Human Motor Learning." Robotics, IEEE Transactions on [see also Robotics and Automation, IEEE Transactions on] 23(5): 919-926.

Gesture Recognition

  • Harling, Philip A. and Alistair D. N. Edwards. Hand tension as a gesture segmentation cue. Progress in Gestural Interaction: Proceedings of Gesture Workshop '96, pages 75--87, Springer, Berlin et al., 1997

  • Lee, C. and X. Yangsheng (1996). Online, interactive learning of gestures for human/robot interfaces. Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on.

  • Campbell, L. W., D. A. Becker, et al. (1996). Invariant features for 3-D gesture recognition. Automatic Face and Gesture Recognition, 1996., Proceedings of the Second International Conference on.

  • Fels, S. S. and G. E. Hinton (1998). "Glove-TalkII-a neural-network interface which maps gestures to parallel formant speech synthesizer controls." Neural Networks, IEEE Transactions on 9(1): 205-212.

  • Poddar, I., Y. Sethi, et al. (1998). Toward Natural Gesture/Speech HCI: A Case Study of Weather Narration. Workshop on Perceptual User Interfaces, San Francisco.

  • Iba, S., J. M. V. Weghe, et al. (1999). An architecture for gesture-based control of mobile robots. Intelligent Robots and Systems, 1999. IROS '99. Proceedings. 1999 IEEE/RSJ International Conference on.

  • Omata, M., K. Go, et al. (2000). A Gesture-Based Interface for Seamless Communications between Real and Virtual Worlds. 6th European Research Consortium for Informatics and Mathematics Workshop on "User Interfaces for All", Florence, Italy.
  • Shahabi, C., L. Kaghazian, et al. (2001). Analysis of Haptic Data for Sign Language Recognition. Los Angeles, CA, Integrated Media Systems Center and Computer Science Department, University of Southern California: 1-5.

  • Hernandez-Rebollar, J. L., R. W. Lindeman, et al. (2002). A multi-class pattern recognition system for practical finger spelling translation. Multimodal Interfaces, 2002. Proceedings. Fourth IEEE International Conference on.

  • Allen, J. M., P. K. Asselin, et al. (2003). American Sign Language finger spelling recognition system. Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of.

  • Eisenstein, J., S. Ghandeharizadeh, et al. (2003). Device independence and extensibility in gesture recognition. Virtual Reality, 2003. Proceedings. IEEE.

  • Mantyjarvi, J., J. Kela, et al. (2004). Enabling fast and effortless customisation in accelerometer based gesture interaction. Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia. College Park, Maryland, ACM.

  • Ip, H. H. S., K. C. K. Law, et al. (2005). Cyber Composer: Hand Gesture-Driven Intelligent Music Composition and Generation. Multimedia Modelling Conference, 2005. MMM 2005. Proceedings of the 11th International.

  • Oz, C. and M. C. Leu (2005). Recognition of Finger Spelling of American Sign Language with Artificial Neural Network Using Position/Orientation Sensors and Data Glove. Advances in Neural Networks - ISNN 2005: 157-164.

  • Qing, C., A. El-Sawah, et al. (2005). A dynamic gesture interface for virtual environments based on hidden Markov models. Haptic Audio Visual Environments and their Applications, 2005. IEEE International Workshop on.

  • Ogris, G., T. Stiefmeier, et al. (2005). Using Ultrasonic Hand Tracking to Augment Motion Analysis Based Recognition of Manipulative Gestures. Proceedings of the Ninth IEEE International Symposium on Wearable Computers, IEEE Computer Society.

  • Andreas, D., A. Stefan, et al. (2006). Human-centered interaction with documents. Proceedings of the 1st ACM international workshop on Human-centered multimedia. Santa Barbara, California, USA, ACM.

  • Deller, M., A. Ebert, et al. (2006). Flexible Gesture Recognition for Immersive Virtual Environments. Information Visualization, 2006. IV 2006. Tenth International Conference on.

  • Kratz, L., M. Smith, et al. (2007). Wiizards: 3D gesture recognition for game play input. Proceedings of the 2007 conference on Future Play. Toronto, Canada, ACM.

  • Patwardhan, K. S. and S. D. Roy (2007). "Hand gesture modelling and recognition involving changing shapes and trajectories, using a Predictive EigenTracker." Pattern Recognition Letters 28: 329-334.

  • Wobbrock, J. O., A. D. Wilson, et al. (2007). Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes. Proceedings of the 20th annual ACM symposium on User interface software and technology. Newport, Rhode Island, USA, ACM.

  • Schlomer, T., B. Poppinga, et al. (2008). Gesture recognition with a Wii controller. Proceedings of the 2nd international conference on Tangible and embedded interaction. Bonn, Germany, ACM.

  • Eisenstein, J., R. Barzilay, et al. (2008). Discourse Topic and Gestural Form. AAAI, Chicago. (to appear)

Gesture Studies

  • Marsh, T. and A. Watt (1998). "Shape your imagination: iconic gestural-based interaction." Virtual Reality Annual International Symposium, 1998. Proceedings., IEEE 1998.

Grasp Recognition

  • Bernardin, K., K. Ogawara, et al. (2005). "A sensor fusion approach for recognizing continuous human grasping sequences using hidden Markov models." Robotics, IEEE Transactions on [see also Robotics and Automation, IEEE Transactions on] 21(1): 47-57.

  • Chang, L. Y., N. S. Pollard, et al. (2007). Feature selection for grasp recognition from optical markers. Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on.

HMMs

  • Rabiner, L. and B. Juang (1986). "An introduction to hidden Markov models." ASSP Magazine, IEEE [see also IEEE Signal Processing Magazine] 3(1): 4-16.

  • Lee, C. and X. Yangsheng (1996). Online, interactive learning of gestures for human/robot interfaces. Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on.

  • Cassandra, A. R. A Survey of POMDP Applications. Austin, TX, Microelectronics and Computer Technology Corporation: 1-9.

  • Westeyn, T., H. Brashear, et al. (2003). Georgia tech gesture toolkit: supporting experiments in gesture recognition. Proceedings of the 5th international conference on Multimodal interfaces. Vancouver, British Columbia, Canada, ACM.

  • Song, J. and D. Kim (2007). "Simultaneous gesture segmentation and recognition based on forward spotting accumulative HMMs." Pattern Recogn. 40(11): 3012-3026.

Interaction

  • Andreas, D., A. Stefan, et al. (2006). Human-centered interaction with documents. Proceedings of the 1st ACM international workshop on Human-centered multimedia. Santa Barbara, California, USA, ACM.

  • Barrass, S. and T. Barrass (2006). "Musical creativity in collaborative virtual environments." Virtual Reality 10(2): 149-157.

  • Jos, P. Molina, et al. (2006). The development of glove-based interfaces with the TRES-D methodology. Proceedings of the ACM symposium on Virtual reality software and technology. Limassol, Cyprus, ACM.

  • Murayama, J., L. Bougrila, et al. (2004). SPIDAR G&G: A Two-Handed Haptic Interface for Bimanual VR Interaction. Eurohaptics, Munich, Germany.

Machine Learning Algorithms

  • Jenkins, O. C. and M. J. Matari (2004). A spatio-temporal extension to Isomap nonlinear dimension reduction. Proceedings of the twenty-first international conference on Machine learning. Banff, Alberta, Canada, ACM.

Music Composition

  • Sawada, H. and S. Hashimoto (1997). "Gesture Recognition Using an Acceleration Sensor and Its Application to Musical Performance Control." Electronics and Communications in Japan, Part 3 80(5): 9-17.

  • Lau, A. S. O. and S. M. Cristancho S. (2004). The Hand Composer. Vancouver, BC, University of British Columbia: 1-7.

  • Ip, H. H. S., K. C. K. Law, et al. (2005). Cyber Composer: Hand Gesture-Driven Intelligent Music Composition and Generation. Multimedia Modelling Conference, 2005. MMM 2005. Proceedings of the 11th International.

  • Barrass, S. and T. Barrass (2006). "Musical creativity in collaborative virtual environments." Virtual Reality 10(2): 149-157.

P5 Glove

  • Wai-Chun, L., Z. Feng, et al. (2004). Motion editing with data glove. Proceedings of the 2004 ACM SIGCHI International Conference on Advances in computer entertainment technology. Singapore, ACM.

  • Andreas, D., A. Stefan, et al. (2006). Human-centered interaction with documents. Proceedings of the 1st ACM international workshop on Human-centered multimedia. Santa Barbara, California, USA, ACM.

  • Deller, M., A. Ebert, et al. (2006). Flexible Gesture Recognition for Immersive Virtual Environments. Information Visualization, 2006. IV 2006. Tenth International Conference on.

  • Taku Komura, W.-C. L. (2006). "Real-time locomotion control by sensing gloves." Computer Animation and Virtual Worlds 17(5): 513-525.

RFID

  • Kim, M., N. Y. Chong, et al. (2007). RFID-enabled Target Tracking and Following with a Mobile Robot Using Direction Finding Antennas. Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on.

Segmentation

  • Harling, P. A. and A. D. N. Edwards (1997). Hand Tension as a Gesture Segmentation Cue. Proceedings of Gesture Workshop on Progress in Gestural Interaction, Springer-Verlag.

  • Chuanjun, L. and B. Prabhakaran (2005). A similarity measure for motion stream segmentation and recognition. Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data. Chicago, Illinois, ACM.

  • Chuanjun, L., R. K. Punit, et al. (2007). "Segmentation and recognition of motion capture data stream by classification." Multimedia Tools Appl. 35(1): 55-70.

  • Song, J. and D. Kim (2007). "Simultaneous gesture segmentation and recognition based on forward spotting accumulative HMMs." Pattern Recogn. 40(11): 3012-3026.

Sign Language

  • Kim, J.-S., W. Jang, et al. (1996). "A dynamic gesture recognition system for the Korean sign language (KSL)." Systems, Man, and Cybernetics, Part B, IEEE Transactions on 26(2): 354-359.

  • Lee, C. and X. Yangsheng (1996). Online, interactive learning of gestures for human/robot interfaces. Robotics and Automation, 1996. Proceedings., 1996 IEEE International Conference on.

  • Sagawa, H. and M. Takeuchi (2000). A Method for Recognizing a Sequence of Sign Language Words Represented in a Japanese Sign Language Sentence. Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000, IEEE Computer Society.

  • Shahabi, C., L. Kaghazian, et al. (2001). Analysis of Haptic Data for Sign Language Recognition. Los Angeles, CA, Integrated Media Systems Center and Computer Science Department, University of Southern California: 1-5.

  • Hernandez-Rebollar, J. L., R. W. Lindeman, et al. (2002). A multi-class pattern recognition system for practical finger spelling translation. Multimodal Interfaces, 2002. Proceedings. Fourth IEEE International Conference on.

  • Allen, J. M., P. K. Asselin, et al. (2003). American Sign Language finger spelling recognition system. Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of.

  • Oz, C. and M. C. Leu (2005). Recognition of Finger Spelling of American Sign Language with Artificial Neural Network Using Position/Orientation Sensors and Data Glove. Advances in Neural Networks - ISNN 2005: 157-164.

  • Brashear, H., V. Henderson, et al. (2006). American sign language recognition in game development for deaf children. Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility. Portland, Oregon, USA, ACM.

  • Lee, Y.-H. and C.-Y. Tsai (2007). "Taiwan sign language (TSL) Recognition Based on 3D Data and Neural Networks." Expert Systems with Applications (in press).

State-of-the-art Overview

  • Myron, W. K. (1993). "Environmental technology: making the real world virtual." Commun. ACM 36(7): 36-37.

  • Joseph J. LaViola, Jr. (1999). A Survey of Hand Posture and Gesture Recognition Techniques and Technology, Brown University.

  • Jos, P. Molina, et al. (2006). The development of glove-based interfaces with the TRES-D methodology. Proceedings of the ACM symposium on Virtual reality software and technology. Limassol, Cyprus, ACM.

Virtual Sculpting

  • Hiroaki, N., U. Kouichi, et al. (1998). 3D object modeling using spatial and pictographic gestures. Proceedings of the ACM symposium on Virtual reality software and technology. Taipei, Taiwan, ACM.

Vision-based Approaches

  • Freeman, W. T. and C. D. Weissman (1994). Television control by hand gestures. Cambridge, MA, Mitsubishi Electric Research Labs.

  • Lichtenauer, J. F., G. A. t. Holt, et al. (2007). 3D Visual Detection of Correct NGT Sign Production. Thirteenth Annual Conference of the Advanced School for Computing and Imaging, Heijen, the Netherlands.

  • Storring, M., T. B. Moeslund, et al. (2004). Computer Vision-Based Gesture Recognition for an Augmented Reality Interface. 4th International Conference on Visualization, Imaging, and Image Processing, Marbella, Spain.

  • Krahnstoever, N., J. Rittscher, et al. (2005). Activity Recognition using Visual Tracking and RFID. Application of Computer Vision, 2005. WACV/MOTIONS '05 Volume 1. Seventh IEEE Workshops on.

  • Kato, M., C. Yen-Wei, et al. (2006). Articulated hand tracking by PCA-ICA approach. Automatic Face and Gesture Recognition, 2006. FGR 2006. 7th International Conference on.

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