Facial muscle movement-based input method and related device

The invention relates to the technical field of electromyographic signal processing, in particular to an input method based on facial muscle movement and a related device. The method comprises the following steps: firstly, acquiring facial electromyographic signals generated by facial muscle movement of a user, then applying the facial electromyographic signals to a trained machine learning model to obtain a target key, and finally, obtaining information required to be input to a terminal by the user according to the target key. According to the input method, the keys corresponding to the electromyographic signals are determined on the basis of the machine learning model, the user does not need to select the keys in the keyboard in a finger pressing mode, and therefore the input method is also suitable for people with finger missing. 本发明涉及肌电信号处理技术领域，具体是涉及一种基于面部肌肉运动的输入方法及相关装置。本发明首先采集用户因面部肌肉运动而产生的面部肌电信号，然后将面部肌电信号应用已训练的机器学习模型，得到目标按键，最后依据目标按键，得到用户需向终端输入的信息。本发明的输入方法是基于机器学习模型确定出与肌电信号所对应的按键，而不需要用户采用手指按压的方式在键盘中选择按键，因