An inertial measurement framework for gesture recognition and applications

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

Volumn 2298, Issue , 2002, Pages 9-20

  Benbasat, Ari Y ^a   Paradiso, Joseph A ^a  

^a MIT MEDIA LAB   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN COMPUTER INTERACTION;

GESTURE RECOGNITION ALGORITHM; INERTIAL MEASUREMENT UNIT; INERTIAL MEASUREMENTS; INERTIAL SENSOR; SIX-AXIS; THREE-DIMENSIONAL MOTION;

GESTURE RECOGNITION;

EID: 84942617062     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47873-6_2     Document Type: Conference Paper

References (20)

1. J. Anderson. Skill acquisition: Compilation of weak-method problem solutions. Psychological Review, 94(2):192-210, 1987.
2. C. Atkeson and J. Hollerbach. Kinematic features of unrestrained vertical arm movements. Journal of Neuroscience, 5(9):2318-2330, 1985.
3. W. Balzer, M. Doherty, and R. O’Connor, Jr. Effects of cognitive feedback on performance. Psychological Bulletin, 106(3):410-433, 1989.
4. J. F. Bartlett. Rock’n’ scroll is here to stay. IEEE Computer Graphics and Applications, 20(3):40-45, May/June 2000.
5. A. Y. Benbasat. An inertial measurement unit for user interfaces. Master’s thesis, Program in Media Arts and Sciences, Massachusetts Institute of Technology, September 2000.
6. B. Blumberg, et al. (void*): A cast of characters. In Conference Abstracts and Applications, SIGGRAPH’99, pages 169-170. ACM Press, 1999.
7. C. Chaplin, director. The Gold Rush, 1925. 100 mins.
8. Ascension Technology Corp. http://www.ascension-tech.com/.11
9. Crossbow Technology, Inc. http://www.xbow.com/html/gyros/dmu6x.htm.
10. G. W. Fitzmaurice. Situated information spaces and spatially aware palmtop computers. Communications of the ACM, 36(7):38-49, July 1993.
11. T. Flash and N. Hogan. The coordination of arm movements: An experimentally confirmed mathematical model. Journal of Neuroscience, 5:1688-1703, 1985.
12. S. Gibet et al. Corpus of 3D natural movements and sign language primitives of movement. In Proceedings of Gesture Workshop’97, pages 111-121. Springer Verlag, 1997.
13. F. Hoffman, P. Heyer, and G. Hommel. Velocity profile based recognition of dynamic gestures with discrete hidden Markov models. In Proceedings of Gesture Workshop’97, page unknown. Springer Verlag, 1997.
14. T. Marrin and J. Paradiso. The digital baton: a versatile performance instrument. In Proceedings of the International Computer Music Conference, pages 313-316. Computer Music Association, 1997.
15. J. A. Paradiso, K. Hsiao, A. Y. Benbasat, and Z. Teegarden. Design and implementation of expressive footwear. IBM Systems Journal, 39(3&4):511-529, 2000.
16. S. Prillwitz et al. Hamnosys. Version 2.0; HamburgN otation System for sign languages. An introductory guide. In International Studies on Sign Language and Communication of the Deaf Vol. 5, page unknown, 1989.
17. L. Rabiner. A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE, 77:257-86, 1989.
18. H. Sawada and S. Hashimoto. Gesture recognition using an accelerometer sensor and its application to musical performance control. Electronics and Communications in Japan, Part 3, 80(5):9-17, 1997.
19. D. Small and H. Ishii. Design of spatially aware graspable displays. In Proceedings of CHI’97, pages 367-368. ACM Press, 1997.
20. A. Wilson. Adaptive Models for the Recognition of Human Gesture. PhD thesis, Program in Media Arts and Sciences, Massachusetts Institute of Technology, September 2000.