4 papers
High Reconstruction Quality and Restart Repeatability Do Not Guarantee Recovery of Ground-Truth Muscle Synergies
Ye Ma, Dongwei Liu, Meijin Hou +1
High reconstruction quality and agreement across repeated fits do not necessarily establish recovery of muscle synergies. We tested whether a variance-accounted-for (VAF)/elbow rul…
Do BERT Embeddings Encode Narrative Dimensions? A Token-Level Probing Analysis of Time, Space, Causality, and Character in Fiction
Beicheng Bei, Hannah Hyesun Chun, Chen Guo +1
Narrative understanding requires multidimensional semantic structures. This study investigates whether BERT embeddings encode dimensions of fictional narrative semantics -- time, s…
From Continuous sEMG Signals to Discrete Muscle State Tokens: A Robust and Interpretable Representation Framework
Yuepeng Chen, Kaili Zheng, Ji Wu +5
Surface electromyography (sEMG) signals exhibit substantial inter-subject variability and are highly susceptible to noise, posing challenges for robust and interpretable decoding.…
Muscle Synergy Patterns During Running: Coordinative Mechanisms From a Neuromechanical Perspective
Ye Ma, Shixin Lin, Shengxing Fu +4
Running is a fundamental form of human locomotion and a key task for evaluating neuromuscular control and lower-limb coordination. In recent years, muscle synergy analysis based on…