Abstract
Wearable computer can be worn anytime with the support of unrestricted communications and variety of services which provides maximum capability of information use. Key challenges in developing such wearable computers are level of comfort that users do not feel what they wear, easy and intuitive user interface and power management technique. This paper suggests a wearable system that consists of a wristwatch-type gesture recognition device and a personal mobile gateway that functional input/output modules can be freely plugged in and taken out. We describe our techniques implemented during our wearable system development: 1) multimodal fusion engine that recognizes voice and gesture simultaneously, 2) power management technique and 3) gesture recognition engine. Finally, we evaluate the performance of our multimodal fusion engine, and show the power consumption measurement data of our system built with the power management technique.
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References
Starner, T.: The challenges of wearable computing Part 1. IEEE Micro 21(4), 44–52 (2001)
Rekimoto, J.: Gesture Wrist and Gesture Pad: Unobtrusive Wearable Interaction Devices. In: Proc. IEEE International Symposium on Wearable Computers, pp. 21–27 (2001)
Anliker, U., et al.: A systematic approach to the design of distributed wearable systems. IEEE Trans. Computers 53(8), 1017–1033 (2004)
i.MX21 Applications Processor Reference Manual, MC9238MX21RM, Rev.2 (2005)
±2g Tri-Axis Digital Accelerometer Specifications, Part Number: KXP84-2050, Rev. 1, Kionix Inc. (2006)
Park, H.S., et al.: Design of Open Architecture Real-Time OS Kernel. KISS 2, 418–420 (2002)
Intel PXA27x Processor Family Developer’s Manual (2006)
Corradini, A., Mehta, M., Bernsen, N.O., Martin, J.C.: Multimodal input fusion in human-computer interaction. In: Proc. the NATO-ASI Conference on Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management, pp. 18–29 (2003)
Cohen, P.R., Johnston, M., McGee, D.R., Oviatt, S.L., Pittman, J., Smith, I., Clow, J.: Quickset: Multimodal Interaction for Distributed Applications. In: Proc. of the 5th International Multimedia Conference, pp. 31–40. ACM Press, New York (1997)
Brock, B., Rajamani, K.: Dynamic Power Management for Embedded Systems. In: Proc. IEEE International SOC Conference, pp. 416–419 (2003)
IBM and MontaVista Software: Dynamic Power Management for Embedded systems (2002), http://www.research.ibm.com/arl/projects/dpm.html
CE linux forum: Power Management Specification _R2 (2004), http://tree.celinuxforum.org/CelfPubWiki/PowerManagementSpecification_5fR2
Harling, P.A., Edwards, A.D.N.: Hand tension as a gesture segmentation cue. In: Proc. Gesture Workshop on Progress in Gestural Interaction, pp. 75–88 (1996)
LaViola, J.: A Survey of Hand Posture and Gesture Recognition Techniques and Technology. Technical Report CS99-11. Dept. of Computer Science, Brown University, Providence, Rhode Island (1999)
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Cho, IY. et al. (2007). A Distributed Wearable System Based on Multimodal Fusion. In: Lee, YH., Kim, HN., Kim, J., Park, Y., Yang, L.T., Kim, S.W. (eds) Embedded Software and Systems. ICESS 2007. Lecture Notes in Computer Science, vol 4523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72685-2_35
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DOI: https://doi.org/10.1007/978-3-540-72685-2_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72684-5
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