TAT-HUM: Trajectory analysis toolkit for human movements in Python

Human movement trajectories can reveal useful insights regarding the underlying mechanisms of human behaviors. Extracting information from movement trajectories, however, can be challenging because of their complex and dynamic nature. The current paper presents a Python toolkit developed to help use...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Behavior research methods Jg. 56; H. 4; S. 4103 - 4129
Hauptverfasser:	Wang, Xiaoye Michael, Welsh, Timothy N.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.06.2024 Springer Nature B.V
Schlagworte:	Accuracy Behavior Behavioral Science and Psychology Biomechanical Phenomena Cognition & reasoning Cognitive Psychology Cues Data Decision making Humans Information processing Kinematics Libraries Male Movement - physiology Original Manuscript Programming Languages Psychology Python Scripts Software Spatial cueing paradigm Kinematic analysis Human movement analysis Trajectory analysis Python library
ISSN:	1554-3528, 1554-3528
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!