Ground reaction force and moment estimation through EMG sensing using long short-term memory network during posture coordination
Imagine 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.
Muscles act upon the ground, which induces ground reaction force. Together with muscle states and ground reaction force, body movements are produced. Therefore, estimating ...













