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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Arun, K.R. XueXin Yap Khong, A.W.H. |
| Copyright Year | 1999 |
| Abstract | We propose a new approach to the development of a touch interface using surface-mounted sensors which allows one to convert a hard surface into a touch pad. This is achieved by using location template matching (LTM), a source localization algorithm that is robust to dispersion and multipath. In this interdisciplinary research, we employ mechanical vibration theories that model wave propagation of the flexural modes of vibration generated by an impact on the surface. We then verify that the amplitude variance across time for each propagating mode frequency is unique to each location on a surface. We show that the Zak transform allows us to faithfully track these amplitude variations and we exploit the uniqueness of this variance as a time-frequency classifier which in turn allows us to localize a finger tap in the context of a human-computer interface. The performance of the proposed algorithm is compared with existing LTM approaches on real surfaces. |
| Sponsorship | IEEE Signal Processing Society IEEE Circuits and Systems Society IEEE Communications Society IEEE Computer Society |
| Starting Page | 487 |
| Ending Page | 497 |
| Page Count | 11 |
| File Size | 1260893 |
| File Format | |
| ISSN | 15209210 |
| Volume Number | 13 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Time frequency analysis Sensors Transforms Surface waves Materials Propagation Vibrations touch interface Human-computer interface location template matching time-frequency classification |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Science Applications Media Technology |
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