Research ArticlePROSTHETICS

BMI control of a third arm for multitasking

See allHide authors and affiliations

Science Robotics  25 Jul 2018:
Vol. 3, Issue 20, eaat1228
DOI: 10.1126/scirobotics.aat1228
  • Fig. 1 Experimental setup.

    (A) Chair with a human-like robotic arm on its side. (B) Ball-balancing board containing color-shape markers. (C) For the single task, participants had to imagine the goal-oriented action of grasping or releasing a bottle with the robotic arm. (D) For the multitask, participants had to imagine the goal-oriented action of grasping the bottle while simultaneously balancing a ball on a board held with their own hands. Participants were asked to wear black gloves with long sleeves to avoid false-positive detections of the color markers by the camera during ball-balancing session.

  • Fig. 2 Histograms showing the distribution of people with respect to their performances for the single task and multitask conditions.

    (A) Single task. (B) Multitask. Panel (B) also shows a visual representation of the probability function resulting from the GMM-EM algorithm. The performance score (68.8) corresponding to the boundary between the two modalities was used to separate the two groups: good performers (above the boundary) and bad performers (below the boundary).

  • Fig. 3 The two modalities for the multitask condition.

    Performance median score and the number of good performers (eight people, median = 85) and bad performers (seven people, median = 52.5) for multitask condition. Error bars indicate min/max values.

Supplementary Materials

  • robotics.sciencemag.org/cgi/content/full/3/20/eaat1228/DC1

    Supplementary Text

    Fig. S1. Trial description.

    Fig. S2. System calibration.

    Fig. S3. Robot arm configuration.

    Fig. S4. Overall performance of all participants.

    Fig. S5. Overall balancing performance.

    Fig. S6. Balancing performance for good and bad performers.

    Fig. S7. Frequency bands and channel locations.

    Fig. S8. Post-experimental subjective evaluation.

  • Supplementary Materials

    This PDF file includes:

    • Supplementary Text
    • Fig. S1. Trial description.
    • Fig. S2. System calibration.
    • Fig. S3. Robot arm configuration.
    • Fig. S4. Overall performance of all participants.
    • Fig. S5. Overall balancing performance.
    • Fig. S6. Balancing performance for good and bad performers.
    • Fig. S7. Frequency bands and channel locations.
    • Fig. S8. Post-experimental subjective evaluation.

    Download PDF

    Files in this Data Supplement:

Stay Connected to Science Robotics

Navigate This Article