• DocumentCode
    178603
  • Title

    A low power self-capacitive touch sensing analog front end with sparse multi-touch detection

  • Author

    Chenchi Luo

  • Author_Institution
    Embedded Process. Syst. Lab., Texas Instrum., Dallas, TX, USA
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    3007
  • Lastpage
    3011
  • Abstract
    Capacitive sensing technology is ubiquitous in today´s electronic devices. This paper proposes a novel architecture for the design of an ultra low power self-capacitive touch sensing analog front end (AFE) by exploiting the sparsity of simultaneous touches with respect to the number of sensor nodes. It is possible to significantly reduce the complexity and the power consumption of the AFE by migrating the computational burden to the digital processor which usually have surplus computational power. Based on the 1-bit compressive sensing theory, the ADC(s) in the AFE can be replaced by a single comparator. The number of measurements required in order to resolve the touch positions is related to the number of simultaneous touches rather than the number of sensor nodes. Detailed AFE architecture and the capacitance measurement process will be presented along with a corresponding digital reconstruction algorithm run by the digital processor.
  • Keywords
    analogue-digital conversion; capacitance measurement; capacitive sensors; comparators (circuits); compressed sensing; digital signal processing chips; signal reconstruction; tactile sensors; ADC; AFE architecture; capacitance measurement process; comparator; complexity reduction; compressive sensing theory; digital processor; digital reconstruction algorithm; electronic device; power consumption reduction; self-capacitive touch sensing analog front end; sensor nodes; sparse multitouch detection; Capacitance; Charge transfer; Compressed sensing; Conductors; Electrodes; Reconstruction algorithms; Sensors; 1-bit compressive sensing; binary iterative hard thresholding; capacitive touch screen;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854152
  • Filename
    6854152