“Brain-Machine Interface for neurorehabilitation and human augmentation” by Ushiba, Hayashi and Iwama
Notice: Pod Template PHP code has been deprecated, please use WP Templates instead of embedding PHP. has been deprecated since Pods version 2.3 with no alternative available. in /data/siggraph/websites/history/wp-content/plugins/pods/includes/general.php on line 518
Conference:
- SIGGRAPH 2023
-
More from SIGGRAPH 2023:
Notice: Array to string conversion in /data/siggraph/websites/history/wp-content/plugins/siggraph-archive-plugin/src/next_previous/source.php on line 345
Notice: Array to string conversion in /data/siggraph/websites/history/wp-content/plugins/siggraph-archive-plugin/src/next_previous/source.php on line 345
Type(s):
Entry Number: 06
Title:
- Brain-Machine Interface for neurorehabilitation and human augmentation
Presenter(s):
Description:
Brain-Machine Interface (BMI) utilizes AI analysis of real-time brain waves to visualize and manipulate neural activity in stroke patients. The robot attached to the paralyzed fingers provides movement assistance, along with somatosensory feedback through electrical stimulation. This approach aims to stimulate the rewiring in the brain, leading to improved functional recovery. This technology also shows promise for enhancing sports performance and musical skills, as well as neurorehabilitation for various patients with neurological disorders.