Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions | GigaScience | Oxford Academic
Ji-Hoon Jeong, Jeong-Hyun Cho, Kyung-Hwan Shim, Byoung-Hee Kwon, Byeong-Hoo Lee, Do-Yeun Lee, Dae-Hyeok Lee, Seong-Whan Lee, Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions, GigaScience, Volume 9, Issue 10, October 2020, giaa098, https://doi.org/10.1093/gigascience/giaa098 Ji-Hoon Jeong, Jeong-Hyun Cho, Kyung-Hwan Shim, Byoung-Hee Kwon, Byeong-Hoo Lee, Do-Yeun Lee, Dae-Hyeok Lee, Seong-Whan Lee, Multimodal signal dataset for 11 intuitive movement tasks from single upper extremity during multiple recording sessions, GigaScience, Volume 9, Issue 10, October 2020, giaa098, https://doi.org/10.1093/gigascience/giaa098 Non-invasive brain–computer interfaces (BCIs) have been developed for realizing natural bi-directional interaction between users and external robotic systems. However, the communication between users and BCI systems through artificial matching is a critical issue. Recently, BCIs have been developed to a
Explore this link on the map →