Sungjae Hwang
Kwangyun Wohn
ABSTRACT
In this paper, we present a low-cost placement-aware technique, called VibroTactor, which allows mobile devices to determine where they are placed (e.g., in a pocket, on a phone holder, on the bed, or on the desk). This is achieved by filtering and analyzing the acoustic signal generated when the mobile device vibrates. The advantage of this technique is that it is inexpensive and easy to deploy because it uses a microphone, which already embedded in standard mobile devices. To verify this idea, we implemented a prototype and conducted a preliminary test. The results show that this system achieves an average success rate of 91% in 12 different real-world placement sets.
Supplemental Material
- Harrison, C. & Hudson, S., Lightweight material detection for placement-aware mobile computing. In Proc UIST, 2008. Google Scholar
Digital Library
- J. Cho, I. Hwang, S. Oh, Vibration-Based Surface Recognition for Smartphones, In Proc. IEEE RTCSA, 2012. Google ScholarDigital Library
- J. Chung, M. Donahoe, C. Schmandt, I. Kim, P. Razavai, and M. Wiseman, Indoor location sensing using geo-magnetism. In Proc. ACM MOBISYS, 2011. Google ScholarDigital Library
- K. Kunze, P. Lukowicz, Symbolic object localization through active sampling of acceleration and sound signatures. In Proc. UbiComp, 2007. Google ScholarDigital Library
- L. M. Ni, Y. Liu, Y. C. Lau and A. Patil, LANDMARC: Indoor Location Sensing Using Active RFID. In Proc. IEEE PerCom, 2003. Google ScholarDigital Library
- R. Bruno and F. Delmastro, Design and analysis of a Bluetooth-based indoor localization system. In Proc. Personal Wireless Communications, 2003.Google ScholarCross Ref
Index Terms
- VibroTactor: low-cost placement-aware technique using vibration echoes on mobile devices
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