UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands.
Ann Neurol. 2020 Sep;88(3):631-636. doi: 10.1002/ana.25821. Epub 2020 Jul 1.
Facial expressions are important for intentional display of emotions in social interaction. For people with severe paralysis, the ability to display emotions intentionally can be impaired. Current brain-computer interfaces (BCIs) allow for linguistic communication but are cumbersome for expressing emotions. Here, we investigated the feasibility of a BCI to display emotions by decoding facial expressions. We used electrocorticographic recordings from the sensorimotor cortex of people with refractory epilepsy and classified five facial expressions, based on neural activity. The mean classification accuracy was 72%. This approach could be a promising avenue for development of BCI-based solutions for fast communication of emotions. ANN NEUROL 2020;88:631-636.
面部表情在社交互动中是情感有意表达的重要方式。对于严重瘫痪的人来说，有意表达情感的能力可能会受损。目前的脑机接口 (BCI) 允许语言交流，但在表达情感时却很繁琐。在这里，我们研究了通过解码面部表情来显示情绪的 BCI 的可行性。我们使用难治性癫痫患者感觉运动皮层的脑电图记录，并根据神经活动对五种面部表情进行分类。平均分类准确率为 72%。这种方法可能是开发基于 BCI 的快速情感交流解决方案的一个很有前途的途径。神经病学年鉴 2020；88:631-636.
