Efficient capacitive touch sensing using structured matrices
Compressive sensing is a technique used in signal processing applications to reduce sampling time. This paper talks about an efficient sampling framework based on compressive sensing for capacitive touch technology. We aim to minimize the number of measurements required during capacitance touch sens...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2018
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| Online Access: | https://hdl.handle.net/10356/88592 http://hdl.handle.net/10220/46951 |
| _version_ | 1811684673283162112 |
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| author | Akhtar, Humza Kakarala, Ramakrishna |
| author2 | Bouman, Charles A. |
| author_facet | Bouman, Charles A. Akhtar, Humza Kakarala, Ramakrishna |
| author_sort | Akhtar, Humza |
| collection | NTU |
| description | Compressive sensing is a technique used in signal processing applications to reduce sampling time. This paper talks about an efficient sampling framework based on compressive sensing for capacitive touch technology. We aim to minimize the number of measurements required during capacitance touch sensing process and in order to achieve this, we use structured matrices which can be used as a driving sensing framework for a touch controller. The novel contribution of this research is that we have modelled our recovery algorithm according to the structure of our sampling matrix, thus making it extremely efficient and simple to implement in a practical application. In this paper, we exploit the structure of the sensing matrix and conduct experiments to test the robustness of our proposed algorithm. Calculations of the floating point multiplication operations for the reconstruction algorithm and sensing matrix have also been looked into detail. |
| first_indexed | 2024-10-01T04:32:22Z |
| format | Conference Paper |
| id | ntu-10356/88592 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:32:22Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/885922020-09-26T21:24:18Z Efficient capacitive touch sensing using structured matrices Akhtar, Humza Kakarala, Ramakrishna Bouman, Charles A. Sauer, Ken D. School of Computer Science and Engineering Proceedings of SPIE - Computational Imaging XIII Earth Observatory of Singapore DRNTU::Engineering::Computer science and engineering Capacitive Touch Compressive Sampling Compressive sensing is a technique used in signal processing applications to reduce sampling time. This paper talks about an efficient sampling framework based on compressive sensing for capacitive touch technology. We aim to minimize the number of measurements required during capacitance touch sensing process and in order to achieve this, we use structured matrices which can be used as a driving sensing framework for a touch controller. The novel contribution of this research is that we have modelled our recovery algorithm according to the structure of our sampling matrix, thus making it extremely efficient and simple to implement in a practical application. In this paper, we exploit the structure of the sensing matrix and conduct experiments to test the robustness of our proposed algorithm. Calculations of the floating point multiplication operations for the reconstruction algorithm and sensing matrix have also been looked into detail. Published version 2018-12-13T08:38:08Z 2019-12-06T17:06:48Z 2018-12-13T08:38:08Z 2019-12-06T17:06:48Z 2015 Conference Paper Akhtar, H., & Kakarala, R. (2015). Efficient capacitive touch sensing using structured matrices. Proceedings of SPIE - Computational Imaging XIII, 9401, 94010O-. doi:10.1117/12.2075635 https://hdl.handle.net/10356/88592 http://hdl.handle.net/10220/46951 10.1117/12.2075635 en © 2015 Society of Photo-optical Instrumentation Engineers (SPIE). This paper was published in Proceedings of SPIE - Computational Imaging XIII and is made available as an electronic reprint (preprint) with permission of Society of Photo-optical Instrumentation Engineers (SPIE). The published version is available at: [http://dx.doi.org/10.1117/12.2075635]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. 9 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering Capacitive Touch Compressive Sampling Akhtar, Humza Kakarala, Ramakrishna Efficient capacitive touch sensing using structured matrices |
| title | Efficient capacitive touch sensing using structured matrices |
| title_full | Efficient capacitive touch sensing using structured matrices |
| title_fullStr | Efficient capacitive touch sensing using structured matrices |
| title_full_unstemmed | Efficient capacitive touch sensing using structured matrices |
| title_short | Efficient capacitive touch sensing using structured matrices |
| title_sort | efficient capacitive touch sensing using structured matrices |
| topic | DRNTU::Engineering::Computer science and engineering Capacitive Touch Compressive Sampling |
| url | https://hdl.handle.net/10356/88592 http://hdl.handle.net/10220/46951 |
| work_keys_str_mv | AT akhtarhumza efficientcapacitivetouchsensingusingstructuredmatrices AT kakaralaramakrishna efficientcapacitivetouchsensingusingstructuredmatrices |