Del. No.Deliverable nameWP no.Lead ParticipantTypeDisseminatonDelivery dateView
D 1.1Quality PlanWP 1OBHPRPPM03D 1.1 - Report
D 2.1Project HomepageWP 2OBHPDECPUM03D 2.1 - Report1
D 3.1Template for interface definitionsWP 3OBHPRPPM06D 3.1 - Report
D 3.2Decision on terminal prototyping test deviceWP 3OBHPRPUM06D 3.2 - Report
D 6.1Integrated Machine Learning Software SuiteWP 6SUPSI-IDSIADEMPPM08D 6.1 - Report
D 4.1First prototype of electrode LinerWP 4OBGDEMPPM10
D 5.1Optimal electrode configuration for myocontrolWP 5UMG-GOERPPM11D 5.1 - Report
D 3.3Templates for clinical test advice and feedback WP 3OBHPRPPM12D 3.3 - Report
D 3.4Terminal prototyping test deviceWP 3OBHPDEMPPM12D 3.4 - Report
D 8.1Computer-based rehabilitation gameWP 8UMCGRPUM12D 8.1 - Report
D 7.1Protocol for testing non-stationaritiesWP 7OSSRPPM16D 7.1 - Report
D 7.2Set of functional ADL movementsWP 7OSSRPPM18D 7.2 - Report
D 5.2Linearity of degrees of freedom in muscle spaceWP 5UMG-GOERPPM18D 5.2 - Report
D 6.2Report on Optimal Machine Learning Methods for Prosthesis ControlWP 6SUPSI-IDSIARPPM22D 6.2 - Report
D 6.4First Machine Learning System Implemented on MicrocontrollerWP 6SUPSI-IDSIADEMPPM24D 6.4 - Report
D 8.2Feedback in gameWP 8UMCGRPUM24D 8.2 - Report
D 9.1Test for evaluating the ability of simultaneous proportional controlWP 9UMCGRPUM24D 9.1 - Report
D 9.2Activity monitoring systemWP 9UMCGDEMPUM24D 9.2 - Report
D 5.3Factors of influence on EMG features for myocontrolWP 5ICLRPPM24D 5.3 - Report
D 4.2Optimized prototype of electrode linerWP 4OBGDEMPPM27
D 6.3Report on first Machine Learning System Implemented on MicrocontrollerWP 6SUPSI-IDSIARPPM27D 6.3 - Report
D 2.2Exploitation plan of resultsWP 2OBHPRPPM48D 2.2 - Report
D 4.3End-user validation reportWP 4OBGRPPM48
D 8.3Preferred training methodWP 8UMCGRPUM48D 8.3 - Report
D 9.3Advantages of simultaneous proportional over conventional controlWP 9UMCGRPUM48D 9.3 - Report