ArticleBehavior research methods2024
TAT-HUM: Trajectory analysis toolkit for human movements in Python.
Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Activation of the motor system following gaze cues is determined by hand access, not hand proximity.Quarterly journal of experimental psychology (2006) · 2025Article
- Scmaskgan: masked multi-scale CNN and attention-enhanced GAN for scRNA-seq dropout imputation.BMC bioinformatics · 2025Article
- Prolonged exposure to mixed reality alters task performance in the unmediated environment.Scientific reports · 2024Article
- The geometry of the vergence-accommodation conflict in mixed reality systems.Virtual reality · 2024Article
- A webcam-based machine learning approach for three-dimensional range of motion evaluation.PloS one · 2023Article
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Authors and funding
2 authors.
Funding
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Abstract
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 users analyze and extract meaningful information from the trajectories of discrete rapid aiming movements executed by humans. This toolkit uses various open-source Python libraries, such as NumPy and SciPy, and offers a collection of common functionalities to analyze movement trajectory data. To ensure flexibility and ease of use, the toolkit offers two approaches: an automated approach that processes raw data and generates relevant measures automatically, and a manual approach that allows users to selectively use different functions based on their specific needs. A behavioral experiment based on the spatial cueing paradigm was conducted to illustrate how one can use this toolkit in practice. Readers are encouraged to access the publicly available data and relevant analysis scripts as an opportunity to learn about kinematic analysis for human movements.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.