Announcement

Collapse
No announcement yet.

PhD in Hand biomechanics, Grenoble, France

Collapse
This topic is closed.
X
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • PhD in Hand biomechanics, Grenoble, France

    A PhD studentship is currently available in our laboratory on Hand and
    finger biomechanics
    (Biomechanics team, control system department, Gipsa-lab Laboratory UMR
    CNRS 5216).
    http://www.gipsa-lab.inpg.fr/ http://www.gipsa-lab.inpg.fr/index.php?id=551

    Theme: Today, there exists a variety of interfaces that allow human
    users to interact with
    computerized systems (mice, keyboards, pens, dials, and touch-sensitive
    surfaces).
    The main objective of this subject is to elaborate a methodology that
    directly senses and decodes
    human muscular activity rather than relying on physical device actuation
    or user actions that are externally visible or audible.

    Advances in muscular sensing and processing technologies provide us with
    the unprecedented
    opportunity to potentially interface directly with human muscle
    activity. Difficulty in sEMG processing
    arises from the fact that skin surface electrodes do not record signal
    only from individual muscles,
    instead some mixture of signals from many muscles is sensed (cross
    talk). Moreover, the number of
    recorded raw signals is fewer like the number of underlying sources.
    Hence, for pattern classification,
    a decomposition technique has to be used in sEMG.

    The research challenges will concern: (1) the development of an
    equipment which must be easy to set up,
    to configure and unobtrusive; (2) the hand gesture identification
    providing available assessment of sEMG
    recordings; and (3) the use of current biomechanical models for
    neuromuscular control together with blind
    source separation algorithms and some techniques for sEMG signal
    decomposition, processing and classification.

    Experimental tasks are planed. An approach based on spatial
    time-frequency distribution will be applied to s
    eparate nonstationnary sEMG signals. After relevant extraction,
    classification will be achieved with an
    adaptive neural network (SVM)


    SALARY
    Funding for three years is available from the French Government.

    The PhD will be supported by all the resources available in the
    GIPSA-Lab laboratory.

    Please also send a copy of your CV to franck.quaine@gipsa-lab.inpg.fr.

    Closing date 20 Mai 2009.
Working...
X