This content will become publicly available on March 7, 2027

Title: Kinetic Human Movement Ontology: a semantic terminology model to symbolically represent physiological movement
Award ID(s):
2047001
PAR ID:
10700372
Author(s) / Creator(s):
; ; ; ; ; ;
Publisher / Repository:
Springer Nature
Date Published:
Journal Name:
Scientific Data
Volume:
13
ISSN:
2052-4463
Page Range / eLocation ID:
696
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Extending prior work in Graf (2018, 2020, 2022c), I show that movement is tier-based strictly local (TSL) even if one analyzes it as a transformation, i.e. a tree transduction from derivation trees to output trees. I define input strictly local (ISL) tree-to-tree transductions with (lexical) TSL tests as a tier-based extension of ISL tree-to-tree transductions. TSL tests allow us to attach each mover to all its landing sites. In general, this class of transductions fails to attach each mover to its final landing site to the exclusion of all its intermediate landing sites, which is crucial for producing output trees with the correct string yield. The problem is avoided, though, if syntax enforces a variant of the Ban on Improper Movement. Subregular complexity thus provides a novel motivation for core restrictions on movement while also shedding new light on the choice between copies and traces in syntax. 
    more » « less
  2. null (Ed.)
    Integrating diverse concepts from animal behavior, movement ecology, and machine learning, we develop an overview of the ecology of learning and animal movement. Learning-based movement is clearly relevant to ecological problems, but the subject is rooted firmly in psychology, including a distinct terminology. We contrast this psychological origin of learning with the task-oriented perspective on learning that has emerged from the field of machine learning. We review conceptual frameworks that characterize the role of learning in movement, discuss emerging trends, and summarize recent developments in the analysis of movement data. We also discuss the relative advantages of different modeling approaches for exploring the learning-movement interface. We explore in depth how individual and social modalities of learning can matter to the ecology of animal movement, and highlight how diverse kinds of field studies, ranging from translocation efforts to manipulative experiments, can provide critical insight into the learning process in animal movement. 
    more » « less
  3. null (Ed.)
  4. null (Ed.)