Larson Eric, Terry Howard P, Stepp Cara E
Speech and Hearing Sciences Department, University of Washington, Seattle, WA 98107, USA.
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3600-3. doi: 10.1109/EMBC.2012.6346745.
We describe the design and testing of a human machine interface to use surface electromyography (sEMG) collected from a covert location in response audio-visual feedback. Using sEMG collected from the Auricularis Posterior muscle, N=5 healthy participants participated in 6 sessions over multiple days to learn to transition from visual and vowel synthesis feedback to vowel synthesis feedback alone. Results indicate that individuals are able to learn sEMG control of vowel synthesis using auditory feedback alone with an average of 67% accuracy and that this skill can also generalize to new vowel targets. Control of vowel synthesis using covertly-recorded sEMG is a promising step toward more reliable mobile human machine interfaces for communication.
我们描述了一种人机界面的设计与测试,该界面利用从隐蔽位置收集的表面肌电图(sEMG)来响应视听反馈。使用从耳后肌收集的sEMG,N = 5名健康参与者在多天内参加了6次实验,以学习从视觉和元音合成反馈过渡到仅元音合成反馈。结果表明,个体能够仅使用听觉反馈学习对元音合成进行sEMG控制,平均准确率为67%,并且这种技能也可以推广到新的元音目标。使用隐蔽记录的sEMG控制元音合成是朝着实现更可靠的移动人机通信界面迈出的有希望的一步。