GeeAir: A universal multimodal remote control device for home appliances

Personal and Ubiquitous Computing

Volumn 14, Issue 8, 2010, Pages 723-735

  Pan, Gang ^a   Wu, Jiahui ^a   Zhang, Daqing ^b   Wu, Zhaohui ^a   Yang, Yingchun ^a   Li, Shijian ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b TELECOM SUDPARIS   (France)

Author keywords

Gesture recognition; Smart home; Speech recognition; Universal remote controller

Indexed keywords

FEEDBACK MECHANISMS; GESTURE COMMANDS; HAND HELD DEVICE; HOME APPLIANCES; INTERACTION TECHNIQUES; MULTI-MODAL; REMOTELY CONTROLLING; SMART HOMES; UNIVERSAL REMOTE CONTROLLERS; USER GROUPS; VISION IMPAIRMENTS;

CONTROLLERS; DOMESTIC APPLIANCES; GESTURE RECOGNITION; OPTICAL FLOWS; TELECONTROL EQUIPMENT; UBIQUITOUS COMPUTING;

SPEECH RECOGNITION;

EID: 78649754329     PISSN: 16174909     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00779-010-0287-7     Document Type: Article

References (29)

1. Campbell LW (1997) A more 'universal' remote control. http://web.media.mit.edu/~lieber/Teaching/Collab97/Collab-Projects/remote.html
2. http://www.consumer.philips.com/consumer/en/gb/consumer/cc/ -categoryid-3000-SERIES-REMOTE-CONTROL-SU-GB-CONSUMER/[4-in-1TV/VCR/DVD/SAT]
3. http://www.oneforall.co.uk/en-UK/product/1/universal-remotes/3/advanced/ 25/digital-12
4. http://www.logitech.com/index.cfm/remotes/universal-remotes/devices/ 3898&cl=us,en
5. http://www.universalremote.com/product-detail.php?model=158
6. Lee L, Johnson T (2006) URCousin: universal remote control user interface. In: Proceedings of the Human Interface Technologies Conference, April 2006
7. Niezen G, Hancke GP (2008) Gesture recognition as ubiquitous input for mobile phones. International Workshop on Devices that Alter Perception (DAP08), conjunction with Ubicomp08, 2008
8. Bolt RA (1980) Put-that-there: voice and gesture at the graphics interface, SIGGRAPH'80, pp 262-270
9. Machate J, Burmester M, Bekiaris E (1997) Towards an intelligent multimodal and multimedia user interface providing a new dimension of natural HMI in the teleoperation of all home appliances by E&D users, 6th International Conference Man-Machine Interactions Intelligent Systems in Business, Montpellier, May 1997, pp 226-229
10. Machate J (1999) Being natural-on the use of multimodal interaction concepts in smart homes. In: Proceedings of the HCI International '99, pp 937-941
11. Wilson A, Oliver N (2003) Gwindows: robust stereo vision for gesture-. based control of windows. In: Proceedings of the 5th international conference on multimodal interfaces, New York, NY, USA, pp 211-218
12. Krum DM, Omoteso O, Ribarsky W, Starner T, Hodges LF (2002) Speech and Gesture Multimodal Control of a Whole Earth 3D Visualization Environment. In: Proceedings of Symposium on Data Visualization, Barcelona, Spain, pp 195-200
13. Starner T, Auxier J, Ashbrook D, Gandy M (2000) The gesture pendant: a self-illuminating, wearable, infrared computer vision system for home automation control and medical monitoring. International Symposium on Wearable Computers (ISWC00), pp 87-95
14. Kela J, Korpipaa P, Mantyjarvi J, Kallio S, Savino G, Jozzo L, Marca D (2006) Accelerometer-based gesture control for a design environment, Personal Ubiquitous Computing, 10:285-299
15. Wu J, Pan G, Li S, Zhang D (2009) Gesture Recognition with a 3D Accelerometer. The Sixth International Conference on Ubiquitous Intelligence and Computing (UIC-09), Brisbane, Australia, 7-9 July, 2009
16. L Rabiner L Levinson 1981 Isolated and connected word recognition-theory and selected applications IEEE Trans Commun 29 5 621 659 10.1109/TCOM.1981. 1095031
17. LR Rabiner 1989 A tutorial on hidden markov models and selected applications in speech recognition Proc IEEE 77 257 286 10.1109/5.18626
18. Lee C-H, Lin C-H, Juang B-H (1991) A study on speaker adaptation of the parameters of continuous density hidden Markov models. IEEE Trans Signal Process 39(4):806-814
19. SB Davis P Mermelstein 1980 Comparison of parametric representation for monosyllabic word recognition in continuously spoken sentences IEEE Trans Acoust Speech Signal Process 28 357 366 10.1109/TASSP.1980.1163420
20. S Mitra T Acharya 2007 Acharya: gesture recognition: a survey IEEE Trans Syst Man Cybern Part C 37 3 311 324 10.1109/TSMCC.2007.893280 (Pubitemid 46621535)
21. Schlömer T, Poppinga B, Henze N, Boll S (2008) Gesture Recognition with a Wii Controller. International Conference on Tangible and Embedded Interaction (TEI'08), pp 11-14, Bonn Germany, Feb. 18-20, 2008
22. Mäntylä V-M (2001) Discrete hidden markov models with application to isolated user-dependent hand gesture recognition. VTT publications
23. Liu J, Wang Z, Zhong L, Wickramasuriya J, Vasudevan V (2009) uWave: accelerometer-based personalized gesture recognition and its applications. IEEE PerCom'09, 2009
24. Mäntyjärvi J, Kela J, Korpipää P, Kallio S (2004) Enabling fast and effortless customization in accelerometer based gesture interaction. Proceedings of the 3rd International Conference on Mobile and Ubiquitous Multimedia (MUM'04), ACM Press, 25-31, October 27-29
25. Christanini J, Taylor JS (2000) An introduction to support vector machines and other kernel-based methods. Cambridge University Press, Cambridge
26. HTK: http://htk.eng.cam.ac.uk/
27. Frigo M, Johnson SG (2005) The design and implementation of FFTW3. Proc IEEE 93(2)
28. Joachims T (1999) Making large-scale SVM learning practical. Advances in kernel methods-support vector learning. In: Schöllkopf B, Burges C, Smola A (ed) MIT-Press
29. Quinlan JR (1996) Improved use of continuous attributes in c4.5. J Artif Intell Res 4:77-90