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implemented on a mobile phone.Accelerometer-based techniques have an advantage abovecamera-based techniques, i.e. that computationally intensivecalculations are not required for accurate movement information,as measurements are directly provided by the sensors.Sensor-based techniques also have the advantage inthat they can be used in much less constrained conditionsand are not reliant on lighting conditions or camera calibration[21].To provide a more immersive experience, wireless video glassesmay be developed that does away with cumbersome cabling.For the video glasses to be connected to a mobile phone,the wireless technologies used will most probably have to beBluetooth or Wi-Fi, as these technologies are already availablein mobile phones. This is an avenue for further exploration,since as of this writing no true wireless video glasseshave been developed.Possible pitfalls for gesture recognition in mobile phones includeuser acceptability: Will a user feel comfortable wavinghis or her arms around in a public space? Haptic feedbackis also important for user acceptance. The Nintendo Wii, forexample, incorporates this by providing both auditory andvibro-tactile feedback when performing a gesture. A usermust know the set of gestures that a system recognizes andgestures requiring high precision over a long period of timecan cause fatigue. Therefore the gestures must be designedto be simple, natural and consistent. If the gestures prove tobe tiring or strenuous, any possibility of altering the user’sperceptions will be limited.When only one accelerometer is used, the accuracy in detectingthe various gestures is reduced. With the NintendoWii, for example, the basic motions it detects can easily becheated with partial movement [1], which reduces the immersiveperception of a video game. Utilizing multiple accelerometersincreases accuracy at additional cost. Addingadditional accelerometer-based sensing devices to a mobilegaming system should not be technically complex, as Bluetoothmay be used for communicating with the mobile phone.Location-based games, also known as urban gaming, canutilize a mobile phone’s GPS receiver to provide a realistic,augmented reality-type gaming experience. This may becombined with the methods described in this paper to improveeven further on the alteration and modification of theuser’s perceptions. Hand gestures can also be used in 3Dvirtual environments to provide a more natural and immersiveuser experience [2], truly altering users’ perceptions inviewing and experiencing their environment.REFERENCES1. Crampton, N., Fox K., Johnston H. andWhitehead A. Dance Dance Evolution:Accelerometer Sensor Networks as Input toVideo Games. In Proc. IEEE HAVE 2007,107-112.2. Chen Q., Petriu E.M. and Georganas, N.D. 3DHand Tracking and Motion Analysis with aCombination Approach of Statistical andSyntactic Analysis. In Proc. IEEE HAVE 2007,56-61.3. Mueller F., Agamanolis S. and Picard, R.Exertion interfaces: sports over a distance forsocial bonding and fun. In CHI ’03: Proc.SIGCHI Conf. on human factors in computingsystems 2003, 561-568.4. Khronos Group. OpenGL ES Overview.http://www.khronos.org/opengles/.5. Feldman, A., Tapia, E.M., Sadi, S., Maes, P.and Schmandt, C. ReachMedia: On-the-moveinteraction with everyday objects. In Proc.IEEE ISWC 2005, 52-59.6. Niezen G. The optimization of gesturerecognition techniques forresource-constrained devices. M.Eng. thesis,University of Pretoria, South Africa, 2008.7. Choi, E., Bang, W., Cho, S., Yang, J., Kim, D.,and Kim, S. Beatbox music phone:gesture-based interactive mobile phone using atri-axis accelerometer. In Proc. IEEE ICIT2005, 97-102.8. Pylvänäinen, T. Accelerometer Based GestureRecognition Using Continuous HMMs. InLNCS: Pattern Recognition and ImageAnalysis, Springer-Verlag (2005).9. Niezen G. and Hancke G.P. Evaluating andoptimising gesture recognition techniques formobile devices. Int’l J. Human-ComputerStudies. Elsevier (submitted June 2008).10. Sakoe, H. and Chiba, S. Dynamicprogramming algorithm optimization forspoken word recognition. In IEEE Trans.Acoustics, Speech, and Signal Processing,26(1), 43-49.11. Coleman, J. Introducing speech and languageprocessing. Cambridge University Press,Cambridge, UK, 2005.12. Bailador, G., Roggen, D., Tröster, G. andTriviño, G. Real time gesture recognition usingContinuous Time Recurrent Neural Networks,In Proc. Int. Conf. Body Area Networks 2007.13. Nokia Research Center. Open C:Standard-based Libraries for Symbian-basedSmartphones.http://opensource.nokia.com/projects/openc/.14. Nokia Research Centre. Python for S60.http://opensource.nokia.com/projects/pythonfors60/.15. Ylänen, J. The Ensymble developer utilities forSymbian OS.http://www.nbl.fi/∼nbl928/ensymble.html.20
16. Myvu Corporation. Myvu Crystal.http://www.myvu.com/Crystal.html.17. Ängeslevä J., Oakley I., Hughes S. andO’Modhrain, S. Body mnemonics - portabledevice interaction design concept. In UIST -Adjunct Proc. ACM Symposium on UserInterface Software and Technology 2003.18. Strachan S., Murray-Smith R., Oakley I. andÄngeslevä J. Dynamic Primitives for GesturalInteraction. In LNCS: MobileHCI,Springer-Verlag (2004).19. GestureTek Mobile.http://www.gesturetekmobile.com.20. Geer, D. Will gesture recognition technologypoint the way? IEEE Computer, 37(10), 2004,20-23.21. Chambers, G.S., Venkatesh, S., West, G.A.W.and Bui, H.H. Hierarchical recognition ofintentional human gestures for sports videoannotation. In Proc. Int. Conf. on PatternRecognition, 1082-1085.21
Page 3 and 4: We would also like to extend a spec
Page 5 and 6: ∙ USE‐03 Clinical Proof‐of‐
Page 7 and 8: Ubiquitous Sustainability: Citizen
Page 9 and 10: Devices that Alter Perception (DAP
Page 11 and 12: incorporated into the body; if it d
Page 13 and 14: vise. Beginning improvisers typical
Page 15 and 16: Location-based Social Networking Sy
Page 17 and 18: PrivacyWith any social networking a
Page 19 and 20: BOXED EGO INSTALLATIONA pair of cam
Page 21 and 22: the natural egocentric visuospatial
Page 23 and 24: HUMAN SENSES AND ABSTRACT DANGERSOu
Page 25 and 26: Gesture recognition as ubiquitous i
Page 27: een developed to overcome this. For
Page 31 and 32: especially in the fields of Ambient
Page 33 and 34: 14. G. Riva (Editor), F. Vatalaro (
Page 35 and 36: system, reflex arcs, and even muscl
Page 37 and 38: 5. R. Cytowic. Synesthesia: Phenome
Page 39 and 40: RELATED WORKLet us consider the loc
Page 41 and 42: (a) Actual traces.(a) Actual traces
Page 43 and 44: Figure 2. Schematic picture of the
Page 45 and 46: notion of partial/total immersion w
Page 47 and 48: A Quantitative Evaluation Model of
Page 49 and 50: a group of users. We, therefore, in
Page 51 and 52: During the above discussion, user g
Page 53 and 54: Usability Study of Indoor Mobile Na
Page 56 and 57: 11%3%0%0%30%19%5%3%0%11%56%Notifyed
Page 58 and 59: CONCLUSIONFor this study, we have d
Page 60 and 61: are suited to provide sufficient cl
Page 62 and 63: attention to your blood pressure re
Page 64 and 65: invested in final development and c
Page 66 and 67: 4. rhythms - the highly predictable
Page 68 and 69: technologies, especially their coll
Page 70 and 71: Situvis: Visualising Multivariate C
Page 72 and 73: all. A user selecting a range withi
Page 74 and 75: constraints to include traces that
Page 76 and 77: Simulation Framework in Second Life
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VirtualEmitterEstimatedPositionVirt
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odies) then our approach would faci
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Design and Integration Principles f
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asis for interaction, it focuses on
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to support POST and GET messages as
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senor node’s functionalities in a
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service model and provide paradigms
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Virtualization of resources will fa
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Figure 3. Heating and lighting cont
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sat down at the same time” can be
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10!; !< !=!"#$%&’"()%* +$(%,-’#
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posite event operators such as conj
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objects? If these particles were sm
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Over-the-air-programmingOTAP (Over-
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Randomised Collaborative Transmissi
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Figure 2. Illustration of periodic
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Figure 3. Illustration of the recei
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Experimental Wired Co-operation Arc
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The structure of network is matrix
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Altera Quartus II v7.2SP3 FPGA soft
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Using smart objects as the building
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To the ambient ecology concepts des
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event. A more complicated approach
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Multi-Tracker: Interactive Smart Ob
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interfacing with whole space, but c
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operate interactions by many partic
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An Augmented Book and Its Applicati
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its withy material. So, the movemen
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Table 1. The Performance of Page Fl
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Ambient Information SystemsWilliam
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We, too, believe there is a certain
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management system and forwarded to
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CONCLUSIONWe have presented the des
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Ambient interface design for a Mobi
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as ‘sensitive’ and filtered awa
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Ambient Life: Interrupted Permanent
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The log files revealed the actual r
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Stay-in-touch: a system for ambient
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Figure 1. The Stay-in-touch display
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User Generated Ambient PresenceGerm
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Figure 3: Cross-platform system tra
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The Invisible Display - Design Stra
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On a more general level Mimikry cre
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Rand in fact few examples of public
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Ambient Displays in Academic Settin
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usefulProfiles 22 (37%)Time and dat
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UTILIZE THE POTENTIAL TO FULLEST: D
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A notification system for a landmin
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As for the investigation phase, whe
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Ubiquitous Sustainability: Citizen
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Live Sustainability: A System for P
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(a) (b) (c)Figure 3. Screenshot for
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Motivating Sustainable BehaviorIan
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dialog with policy makers and servi
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5. Fogg, B. J. (2002). “Persuasiv
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on mode of transportation such as t
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In order to be useful, PET requires
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provides a relevant description and
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Star, L. S., The Ethnography of Inf
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door environment, the accuracy of G
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Figure 5. Variations of “Parasiti
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can view where it has been, who ans
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Nevermind UbiquityJeff BurkeCenter
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innovating within existing capacity
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Since the Brundlandt report a serie
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our current research in mobile gami
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conceive only of human-computer int
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human behaviour will encounter. The
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mental models of the world are test
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alternative, the place that could h
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elow the mode button indicate the c
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212
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digital collection of features to a
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immediately followed by a subset of
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forecast the future accesses to tho
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Enhanced and Continuously Connected
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than two application windows execut
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Secure and Dynamic Coordination ofH
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AudioProducer/ConsumerVideoConsumer
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228
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MotivationsMotivations occurred on
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Kray Christian ··········
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