Utilizing an accelerometric bracelet for ubiquitous gesture-based interaction

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

Volumn 5615 LNCS, Issue PART 2, 2009, Pages 519-527

  Hein, Albert ^a   Hoffmeyer, André ^a,b   Kirste, Thomas ^a  

^a UNIVERSITY OF ROSTOCK   (Germany)

^b Fraunhofer Institut fur Graphische Datenverarbeitung Rostock   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

GESTURE-BASED INTERACTION; HIGH RATE; VERY LOW COMPLEXITY;

COMPUTATIONAL COMPLEXITY; KNOWLEDGE MANAGEMENT; UBIQUITOUS COMPUTING;

HUMAN COMPUTER INTERACTION;

EID: 70350331085     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02710-9_57     Document Type: Conference Paper

References (13)

1. Mäntyjärvi, J., Kela, J., Korpipää, P., Kallio, S.: Enabling fast and effortless customisation in accelerometer based gesture interaction. In: MUM 2004: Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia, pp. 25-31. ACM, New York (2004)
2. Farella, E., Acquaviva, A., Benini, L., Ricco, B.: A wearable gesture recognition system for natural navigation interfaces. In: Proceedings of EUROMEDIA 2005, Toulouse, April 2005, pp. 110-115 (2005)
3. Niezen, G., Hancke, G.: Gesture recognition as ubiquitous input for mobile phones. In: DAP Workshop at UBICOMP 2008, University of Pretoria (2008)
4. Prekopcsák, Z., Halácsy, P., Gáspár-Papanek, C.: Design and development of an everyday hand gesture interface. In: MobileHCI 2008: Proceedings of the 10th international conference on Human computer interaction with mobile devices and services, pp. 479-480. ACM, New York (2008)
5. Pylvänäinen, T.: Accelerometer Based Gesture Recognition Using Continuous HMMs (2005)
6. Schlömer, T., Poppinga, B., Henze, N., Boll, S.: Gesture recognition with a wii controller. In: TEI 2008: Proceedings of the 2nd international conference on Tangible and embedded interaction, pp. 11-14. ACM, New York (2008)
7. Kela, J., Korpipää, P., Mäntyjärvi, J., Kallio, S., Savino, G., Jozzo, L., Marca, D.: Accelerometer-based gesture control for a design environment. Personal Ubiquitous Corn-put. 10(5), 285-299 (2006)
8. Hein, A.: Echtzeitfähige merkmalsgewinnung von beschleunigungswerten und klassifikation von zyklischen bewegungen. Master's thesis, University of Rostock (November 2007)
9. Bao, L., Intille, S.S.: Activity recognition from user-annotated acceleration data. In: Ferscha, A., Mattern, F. (eds.) PERVASIVE 2004. LNCS, vol. 3001, pp. 1-17. Springer, Heidelberg (2004)
10. Ravi, N., Dandekar, N., Mysore, P., Liftman, M.L.: Activity recognition from accelerometer data. In: AAAI, pp. 1541-1546 (2005)
11. Bouten, C., Koekkoek, K., Verduin, M., Kodde, R., Janssen, J.: A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity. IEEE Transactions on Biomedical Engineering 44(3), 136-147 (1997)
12. Lange, H.K.H.: Allgemeine Musiklehre und Musikalische Ornamentik. Franz Steiner Verlag (2001)
13. Witten, I.H., Frank, E.: Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn. Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann Publishers Inc, San Francisco (2005)