Ground reaction force and moment estimation through EMG sensing using long short-term memory network

Imagine that by only attaching a number of electromyography (EMG) sensors to your legs, your motion in the future several seconds can be predicted. Such a way of predicting motion via muscle states is an alternative to the mainstream visual cue-based motion prediction, which heavily relies on multi-view cameras to construct time-series posture. However, there is still a gap between muscle states and future movements.