Table 6 Summary of the previous literature on shared control-based MMI systems
From: Combining biosignals with RFID to develop a multimodal-shared control interface
Ref. no | Modality | Application | Analysis type | No. of commands and subjects | Outcomes |
|---|---|---|---|---|---|
[19] | EEG(P300), AI as shared control (computer vision) | Robotic arm control | online | 4 commands, 4 subjects | Average online classification accuracy rate is over 90% |
[20] | EEG (MI), RFID | Robotic arm control for pick and place | online | 5 commands, 4 subjects, | Accuracy 61.2% |
[21] | EEG (MI), | motion control of a serial manipulator | offline | 5 commands, 8 subjects | - |
[4] | EOG, RFID | Robot control | online | 5 commands, 5 subjects | Speed index 69% |
[6] | EEG (SSVEP), computer vision | Robot control | online | 10 subjects | 97.5% |
[7] | EEG (MI), EEG (SSVEP), computer vision | Robot control | online | 11 subjects | 85% |
[22] | EEG (SSVEP), landmark tracking method of robot vision | Humanoid robot walking control | online | 6 commands, 12 subjects | 96.15 ± 2.07% |
Proposed Work | EEG (SSVEP), HEOG, RFID | Robot control | online | 12 commands, 9 subjects | 98.53 ± 1.24% |