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p300-tactile-4-online.xml 51KB

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  1487. </Link>
  1488. <Link>
  1489. <Identifier>(0x136dcee0, 0x20dbb005)</Identifier>
  1490. <Source>
  1491. <BoxIdentifier>(0x28b5e192, 0x37431137)</BoxIdentifier>
  1492. <BoxOutputIndex>0</BoxOutputIndex>
  1493. </Source>
  1494. <Target>
  1495. <BoxIdentifier>(0x0000445b, 0x000068e3)</BoxIdentifier>
  1496. <BoxInputIndex>0</BoxInputIndex>
  1497. </Target>
  1498. </Link>
  1499. <Link>
  1500. <Identifier>(0x1a535826, 0x3804f216)</Identifier>
  1501. <Source>
  1502. <BoxIdentifier>(0x001a8c16, 0x15ba27e3)</BoxIdentifier>
  1503. <BoxOutputIndex>0</BoxOutputIndex>
  1504. </Source>
  1505. <Target>
  1506. <BoxIdentifier>(0x40e41bf9, 0x5c44b1b1)</BoxIdentifier>
  1507. <BoxInputIndex>0</BoxInputIndex>
  1508. </Target>
  1509. </Link>
  1510. <Link>
  1511. <Identifier>(0x2893bc68, 0x5c0429ec)</Identifier>
  1512. <Source>
  1513. <BoxIdentifier>(0x6f54afd0, 0x5f2e0f65)</BoxIdentifier>
  1514. <BoxOutputIndex>0</BoxOutputIndex>
  1515. </Source>
  1516. <Target>
  1517. <BoxIdentifier>(0x008f57e1, 0x2790537b)</BoxIdentifier>
  1518. <BoxInputIndex>0</BoxInputIndex>
  1519. </Target>
  1520. </Link>
  1521. <Link>
  1522. <Identifier>(0x3ccbcbed, 0x529f3e1d)</Identifier>
  1523. <Source>
  1524. <BoxIdentifier>(0x0e30a73f, 0x7ae6d95a)</BoxIdentifier>
  1525. <BoxOutputIndex>0</BoxOutputIndex>
  1526. </Source>
  1527. <Target>
  1528. <BoxIdentifier>(0x28b5e192, 0x37431137)</BoxIdentifier>
  1529. <BoxInputIndex>0</BoxInputIndex>
  1530. </Target>
  1531. </Link>
  1532. </Links>
  1533. <Comments>
  1534. <Comment>
  1535. <Identifier>(0x1012e1de, 0x78e57c3e)</Identifier>
  1536. <Text>The stimulation part of the scenario is
  1537. similar to scenario &lt;i&gt;1-acquisition&lt;/i&gt;.
  1538. If you keep the &lt;i&gt;Target Letter Generation&lt;/i&gt;
  1539. box, you will be able to train the algorithms
  1540. again on the recorded data.
  1541. </Text>
  1542. <Attributes>
  1543. <Attribute>
  1544. <Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
  1545. <Value>896.000000</Value>
  1546. </Attribute>
  1547. <Attribute>
  1548. <Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
  1549. <Value>608.000000</Value>
  1550. </Attribute>
  1551. </Attributes>
  1552. </Comment>
  1553. <Comment>
  1554. <Identifier>(0x11fceaee, 0x1f87d83c)</Identifier>
  1555. <Text>Switch from file reader
  1556. to Acquisiton client to use it online</Text>
  1557. <Attributes>
  1558. <Attribute>
  1559. <Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
  1560. <Value>176.000000</Value>
  1561. </Attribute>
  1562. <Attribute>
  1563. <Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
  1564. <Value>-48.000000</Value>
  1565. </Attribute>
  1566. </Attributes>
  1567. </Comment>
  1568. <Comment>
  1569. <Identifier>(0x27567f54, 0x6e00503a)</Identifier>
  1570. <Text>You can configure the Flashing Sequence
  1571. and the Target Letter Generation in order to
  1572. instruct the subject to &lt;u&gt;spell a specific word&lt;/u&gt;.
  1573. Set the target word in the Lua Stimulator (e.g. "openvibe")
  1574. and adapt the number of trials in the P300 Speller Stimulator
  1575. (e.g. 8 trials for the 8 letters in "openvibe")
  1576. &lt;b&gt;&lt;u&gt;Note:&lt;/u&gt;&lt;/b&gt; If the number of letter in the chosen word does not match
  1577. the number of trial, you won't be able to train xDAWN and
  1578. the classifier on the recorded data.</Text>
  1579. <Attributes>
  1580. <Attribute>
  1581. <Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
  1582. <Value>32</Value>
  1583. </Attribute>
  1584. <Attribute>
  1585. <Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
  1586. <Value>496</Value>
  1587. </Attribute>
  1588. </Attributes>
  1589. </Comment>
  1590. <Comment>
  1591. <Identifier>(0x3726b6f5, 0x3dea5d78)</Identifier>
  1592. <Text>&lt;u&gt;&lt;b&gt;&lt;big&gt;Overview&lt;/big&gt;&lt;/b&gt;&lt;/u&gt;
  1593. This scenario can be used online once the
  1594. spatial filter and the classifiers are trained.
  1595. The &lt;i&gt;Target Letter Generation&lt;/i&gt;
  1596. box still proposes some targets in order to
  1597. eventually train the spatial filter / classifier
  1598. again, but you may want to disconnect that box
  1599. in order to have a real &lt;i&gt;free time&lt;/i&gt; use of
  1600. the speller.
  1601. The flash sequence starts automatically after 20 sec.
  1602. You will then be presented a blue letter that
  1603. you have to focus on, followed by a 12 times
  1604. flashing sequence of the whole grid. The detected
  1605. letter will be presented in green. This will be repeated
  1606. 10 times.
  1607. If the performance of the system does not fit your
  1608. requirements, just run &lt;i&gt;2-train-xDAWN&lt;/i&gt; and &lt;i&gt;3-train-classifier&lt;/i&gt;
  1609. scenarios again on the data you just recorded.
  1610. &lt;small&gt;&lt;i&gt;&lt;b&gt;note:&lt;/b&gt; the recorded files go to the
  1611. folder where the scenario xml is located
  1612. (&lt;span color="darkblue"&gt;${Player_ScenarioDirectory}/&lt;/span&gt;).&lt;/i&gt;&lt;/small&gt;</Text>
  1613. <Attributes>
  1614. <Attribute>
  1615. <Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
  1616. <Value>192</Value>
  1617. </Attribute>
  1618. <Attribute>
  1619. <Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
  1620. <Value>-48</Value>
  1621. </Attribute>
  1622. </Attributes>
  1623. </Comment>
  1624. <Comment>
  1625. <Identifier>(0x421933f6, 0x00705e90)</Identifier>
  1626. <Text>The preprocessing of the signal is
  1627. performed here...
  1628. &lt;u&gt;&lt;b&gt;Note:&lt;/b&gt;&lt;/u&gt; be sure that the
  1629. &lt;i&gt;sampling rate&lt;/i&gt; and &lt;i&gt;sample count
  1630. per buffer&lt;/i&gt; you use in the &lt;u&gt;acquisition
  1631. server&lt;/u&gt; are compatible with the actual
  1632. &lt;i&gt;signal decimation factor&lt;/i&gt;</Text>
  1633. <Attributes>
  1634. <Attribute>
  1635. <Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
  1636. <Value>176</Value>
  1637. </Attribute>
  1638. <Attribute>
  1639. <Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
  1640. <Value>272</Value>
  1641. </Attribute>
  1642. </Attributes>
  1643. </Comment>
  1644. <Comment>
  1645. <Identifier>(0x5bbc727e, 0x1572a9cd)</Identifier>
  1646. <Text>You can browse each box' documentation by selecting the box and pressing &lt;b&gt;F1&lt;/b&gt;</Text>
  1647. <Attributes>
  1648. <Attribute>
  1649. <Identifier>(0x473d9a43, 0x97fc0a97)</Identifier>
  1650. <Value>608.000000</Value>
  1651. </Attribute>
  1652. <Attribute>
  1653. <Identifier>(0x7234b86b, 0x2b8651a5)</Identifier>
  1654. <Value>-288.000000</Value>
  1655. </Attribute>
  1656. </Attributes>
  1657. </Comment>
  1658. </Comments>
  1659. <Metadata>
  1660. <Entry>
  1661. <Identifier>(0x0000775c, 0x000078ff)</Identifier>
  1662. <Type>(0x3bcce5d2, 0x43f2d968)</Type>
  1663. <Data>[{"boxIdentifier":"(0x2e63c8c5, 0x79a8ae7b)","childCount":0,"identifier":"(0x00001d62, 0x00007def)","parentIdentifier":"(0xffffffff, 0xffffffff)","type":3}]</Data>
  1664. </Entry>
  1665. </Metadata>
  1666. <Attributes>
  1667. <Attribute>
  1668. <Identifier>(0x790d75b8, 0x3bb90c33)</Identifier>
  1669. <Value>Jussi T. Lindgren</Value>
  1670. </Attribute>
  1671. <Attribute>
  1672. <Identifier>(0x8c1fc55b, 0x7b433dc2)</Identifier>
  1673. <Value></Value>
  1674. </Attribute>
  1675. <Attribute>
  1676. <Identifier>(0x9f5c4075, 0x4a0d3666)</Identifier>
  1677. <Value>Online Use</Value>
  1678. </Attribute>
  1679. <Attribute>
  1680. <Identifier>(0xf36a1567, 0xd13c53da)</Identifier>
  1681. <Value>http://openvibe.inria.fr/p300-speller-xdawn/</Value>
  1682. </Attribute>
  1683. <Attribute>
  1684. <Identifier>(0xf6b2e3fa, 0x7bd43926)</Identifier>
  1685. <Value>xDAWN P300 Speller</Value>
  1686. </Attribute>
  1687. <Attribute>
  1688. <Identifier>(0xf8034a49, 0x8b3f37cc)</Identifier>
  1689. <Value>INRIA</Value>
  1690. </Attribute>
  1691. </Attributes>
  1692. </OpenViBE-Scenario>