• HILECOP
    • HILECOP is devoted to support the modularity and the reusability of sub-parts of complex hardware systems, the HILECOP methodology is based on components. An HILECOP component has: a Petri Net (PN) based behavior, a set of functions whose execution is controlled by the PN, and a set of variables and signals. Its interface contains places and transitions from which its PN model can be inter-connected as well as signals it exports or imports. The interconnection of those components, from a behavioral point out view, consists in the interconnection of places and/or transitions according to well-defined mechanisms: interconnection by means of oriented arcs or by means of the "merging" operator (existing for both places and transitions).
    • David Andreu (David.Andreu@inria.fr)
    • David Andreu (David.Andreu@inria.fr), Ghilhem Vavelin, Gregory Angles
    • DEMAR
  • MOS2SENS
    • This model can predict nerve fiber activation through multipolar electrode stimulation. Furthermore the models provide an optimal current configuration to activate accurately the targeted muscle or organ (indeed a targeted group of fiber). The new software MOS2SENS is an adjustment support tool for neuroprosthetics devices. It models and optimizes the current injected by multipolar CUFF electrodes inside the nerve in order to activate selective fiber targets in terms of spatial criterion.
    • David Guiraud (David.Guiraud@inria.fr)
    • David Guiraud (David.Guiraud@inria.fr), Melissa Dali (melissa.dali@inria.fr), Olivier Rossel (Olivier.Rossel@inria.fr)
    • DEMAR
  • PersoBalance
    • Mitsuhiro Hayashibe (Mitsuhiro.Hayashibe@inria.fr)
    • Alejandro Gonzalez De Alba (Alejandro.Gonzalez_De_Alba@inria.fr), Mitsuhiro Hayashibe (Mitsuhiro.Hayashibe@inria.fr), Philippe Fraisse (Philippe.Fraisse@inria.fr)
    • DEMAR
  • SENISManager
    • SENISManager is a specific software environment allowing to remotely manage and control a network of DSUs, i.e. the distributed FES architecture. SENISManager performs self-detection of the architecture being deployed. This environment allows the manipulation of micro-programs from their edition to their remote control. It also allows the programming of control sequences executed by an external controller in charge of automatically piloting a stimulator.
    • David Andreu (David.Andreu@inria.fr)
    • David Andreu (David.Andreu@inria.fr), Robin Passama
    • DEMAR
  • sensbiotk
    • sensbiotk toolbox for Python. for the calibration, acquisition, analysis and visualization of motion capture using IMU
    • sensbiotk toolbox for Python. for the calibration, acquisition, analysis and visualization of motion capture using IMU.
    • Roger Pissard Gibollet (roger.pissard@inria.fr)
    • Benoit Sijobert (benoit.sijobert@inria.fr), Christine Azevedo Coste (Christine.Azevedo@inria.fr), Roger Pissard-Gibollet (roger.pissard@inria.fr)
    • DEMAR, SED-RAL
    • http://sensbio.github.io/sensbiotk/
  • Synergy Neurostimulation Software (SNS)
    • Synergy Neurostimulation Software is a specific software environment allowing to remotely manage a stimulation architecture based on one controller piloting a set of distributed stimulation units, connected by means of a dedicated network. The controller embeds the set of FES functions according to which it controls stimulation units, in real-time.
    • David Andreu (David.Andreu@inria.fr)
    • Arthur Hiairrassary (arthur.hiairrassary@inria.fr), David Andreu (David.Andreu@inria.fr), David Guiraud (David.Guiraud@inria.fr)
    • DEMAR