Elizabeth Thomas

This paper develops a hybrid algorithm for 2D shape similarity that outperforms geometric and feature-based methods by combining global and local features without requiring training data.

This study uses machine learning to analyze muscle modulation patterns during reach-and-grasp tasks with different hand orientations, revealing complex dynamics and proximo-distal organization.

This study compares arm and whole-body motor control in younger and older adults to determine if age-related changes reflect deterioration or compensation, finding that reduced whole-body movement efficiency correlates with balance control.

The paper analyzes LFP recordings from macaque monkeys during a reach-and-grasp task to detect changes in correlations and clustering patterns associated with task epochs.

The paper uses machine learning to analyze multimuscle activity during pointing movements, revealing modular tuning of muscles to direction and the role of deactivation in reducing effort.

This study uses machine learning and feature selection to analyze high-dimensional EMG data and identify muscle activity patterns associated with different pointing angles.