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Experiencia de voluntariado

  • Gráfico Startup Chile

    Juez

    Startup Chile

    - actualidad 8 años 3 meses

    Potenciamiento económico

    Start-Up Chile GEN 18

  • Gráfico Startup Chile

    Juez

    Startup Chile

    - actualidad 7 años 9 meses

    Potenciamiento económico

    Start-Up Chile GEN 19

  • Gráfico Startup Chile

    Juez

    Startup Chile

    - actualidad 7 años 3 meses

    Potenciamiento económico

    Start-Up Chile GEN 20

Publicaciones

  • ATAM-HW: Extending ATAM for Explicitly Incorporating Hardware-Related Trade-Off Decisions

    SCCC '10 Proceedings of the 2010 XXIX International Conference of the Chilean Computer Science Society

    ATAM is a widely known software architecture analysis method based on trade-offs of design decisions for coping with quality attribute requirements. Practically, all reported cases of applying ATAM refer mainly to software-intensive systems. However, there is a series of software systems for which fulfilling their requirements strongly depends on hardware-related decisions. As ATAM provides no special treatment for these cases, several problems arise when applying the method. In this paper we…

    ATAM is a widely known software architecture analysis method based on trade-offs of design decisions for coping with quality attribute requirements. Practically, all reported cases of applying ATAM refer mainly to software-intensive systems. However, there is a series of software systems for which fulfilling their requirements strongly depends on hardware-related decisions. As ATAM provides no special treatment for these cases, several problems arise when applying the method. In this paper we present ATAMHW, an extension to ATAM, that explicitly deals with hardware-related decisions. It adds some steps to ATAM to links quality attributes requirements of a system with hardware related decisions made by the architect. We illustrate its application for analyzing a virtual electrical generator that has been developed in the last years.

    Otros autores
    • Maria Cecilia Bastarrica
    • Daniel Perovich
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  • Design of a virtual keyboard based on iris tracking

    Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second t

    The development of man-machine interfaces to control devices with the eyes could be of great impact in handicapped individuals. In this paper a non-obstructive interface is proposed to detect and track iris position based on digital image processing techniques, templates and a reference point mounted near the eye. The position of the iris is detected in four steps: reference detection, iris center detection, iris position computation relative to the reference and determination of the eye…

    The development of man-machine interfaces to control devices with the eyes could be of great impact in handicapped individuals. In this paper a non-obstructive interface is proposed to detect and track iris position based on digital image processing techniques, templates and a reference point mounted near the eye. The position of the iris is detected in four steps: reference detection, iris center detection, iris position computation relative to the reference and determination of the eye position within the virtual keyboard. The position of the iris is projected over a virtual keyboard and it is determined the maximum number of keys that the system is able to discriminate. The percentage of iris correct detection in four different video sequences of 803, 710, 913, 849 frames, respectively were above 98.2%. The reference detection was 100% correct. A virtual keyboard was built allowing 12 horizontal and 8 vertical keys.

    Otros autores
    • Claudio Perez
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  • Face and eye tracking algorithm based on digital image processing

    IEEE International Conference on Systems, Man, and Cybernetics, 2001

    A non-invasive interface to track eye position using digital image processing techniques is under development. Information about head and eye position is obtained from digital images. The objective is to develop an interface to detect eye position based only on digital image processing algorithms, free of electrodes or other electronic devices. We propose a method for eye tracking built into five stages. These include: coarse and fine face detection, finding the eye region of maximum…

    A non-invasive interface to track eye position using digital image processing techniques is under development. Information about head and eye position is obtained from digital images. The objective is to develop an interface to detect eye position based only on digital image processing algorithms, free of electrodes or other electronic devices. We propose a method for eye tracking built into five stages. These include: coarse and fine face detection, finding the eye region of maximum probability, map of the pupil/iris location and pupil/iris detection. Using frontal face images obtained from a database, the probability maps for the eye region were built. Only gray levels are considered for this computation (8 bits). The algorithms for face and eye detection were assessed on 102 images from the Purdue database and on 897 images from a video sequence. The face detection algorithm reached a 99% and 100% correct detection rate on the databases respectively. On the same databases the pupil/iris detection algorithm reached 85.3% and 98.4% of correct detection respectively

    Otros autores
    • Claudio Perez
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