Armando Barreto

Armando Barreto is an Associate Professor in both the departments of Electrical and Computer Engineering and Biomedical Engineering at Florida International University (FIU), in Miami, Florida. He is the director of the Digital Signal Processing (DSP) Laboratory at FIU. Dr. Barreto’s academic background is originally in electrical engineering: B.S degree from UNAM, Mexico, 1987, M.S. degree from FIU, 1989, and Ph.D. degree from The University of Florida, Gainesville, 1993. Since his doctoral dissertation research, Dr. Barreto’s work has applied DSP to the manipulation of biosignals, such as the electroencephalogram (EEG) and the electromyogram (EMG). As a faculty member at FIU, Dr. Barreto has sought the application of digital signal and image processing techniques for the development of devices and systems that may facilitate human-computer interaction. Within the overall HCI area, Dr. Barreto is also interested in the improvements that may be brought about by real-time affective assessment of the computer user.

Biography Updated on 6 July 2007

Personal Home Page

http://dsplab.eng.fiu.edu/DSP/Dr_Barreto.html

Articles in Scholarly Journals [Incomplete List]

  1. Impact of spatial auditory feedback on the efficiency of iconic human–computer interfaces under conditions of visual impairment
    Computers in Human Behavior, vol. 23, no. 3, pp. 1211–1231, 2007
  2. Image pre-compensation to facilitate computer access for users with refractive errors
    Behaviour & Information Technology, vol. 24, no. 3, pp. 161–173, 2005
  3. Detection of Interictal Spikes and Artifactual Data Through Orthogonal Transformations
    Journal of Clinical Neurophysiology, vol. 22, no. 1, pp. 53–64, 2005
  4. Human–computer interfaces with regional lower and upper alpha frequencies as on-line indexes of mental activity
    Computers in Human Behavior, vol. 20, no. 4, pp. 569–579, 2004
  5. Interictal Spike Detection Using the Walsh Transform
    IEEE Transactions on Biomedical Engineering, vol. 51, no. 5, pp. 868–872, 2004
  6. Macular degeneration and visual icon use: deriving guidelines for improved access
    Universal Access in the Information Society, vol. 1, no. 3, pp. 197–206, 2002
  7. An analytical approach to signal reconstruction using Gaussian approximations applied to randomly generated and flow cytometric data
    IEEE Transactions on Signal Processing, vol. 48, no. 10, pp. 2839–2849, 2000
  8. STL: A Spatio-Temporal characterization of focal interictal events
    Brain Topography, vol. 5, no. 3, pp. 215–228, 1993