Hand Trajectory Analysis in the Study of Premotor Activity: An Exploration

Bolger Deirdre (1, 2, 3) , Mestre Daniel (4) , Jean-Marie Pergandi (4) , Zappa Ana (2, 1) , Frenck-Mestre Cheryl (2)

1 ILCB - Institute of Language, Communication and the Brain
2 LPL - Laboratoire Parole et Langage
3 AMU - Aix Marseille Université
4 CRVM - Centre de Réalité Virtuelle de la Méditerranée

Here we present a first step in the exploration of the use of movement trajectory data in single-trial EEG analysis, based on the hypothesis that certain features of the actual movement to be executed may be reflected in premotor activity. If such features can be effectively characterized, they may assist the study of premotor activity, present in MEEG signals, at the single-trial basis.

Mots clés: premotor activity; Hand movements; trajectory path representation; general movement features; Complexity measures

Domaines: Sciences cognitives; Mathématiques [math]; Sciences de l'ingénieur [physics]; Statistiques [stat]

Bolger Deirdre, Mestre Daniel, Jean-Marie Pergandi, Zappa Ana, Frenck-Mestre Cheryl. Hand Trajectory Analysis in the Study of Premotor Activity: An Exploration. Retraite ILCB/BLRI Porquerolles, May 2019, Porquerolles, France. ⟨hal-03992695⟩