research-article

Is the Motion of a Child Perceivably Different from the Motion of an Adult?

Authors:

Amanda Castonguay,

Julia WoodwardAuthors Info & Claims

ACM Transactions on Applied Perception (TAP), Volume 13, Issue 4

Article No.: 22, Pages 1 - 17

https://doi.org/10.1145/2947616

Published: 29 July 2016 Publication History

Abstract

Artists and animators have observed that children’s movements are quite different from adults performing the same action. Previous computer graphics research on human motion has primarily focused on adult motion. There are open questions as to how different child motion actually is, and whether the differences will actually impact animation and interaction. We report the first explicit study of the perception of child motion (ages 5 to 9 years old), compared to analogous adult motion. We used markerless motion capture to collect an exploratory corpus of child and adult motion, and conducted a perceptual study with point light displays to discover whether naive viewers could identify a motion as belonging to a child or an adult. We find that people are generally successful at this task. This work has implications for creating more engaging and realistic avatars for games, online social media, and animated videos and movies.

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Cited By

Mohammadi Moghadam SOrtega Auriol PYeung TChoisne J(2024)3D gait analysis in children using wearable sensors: feasibility of predicting joint kinematics and kinetics with personalized machine learning models and inertial measurement unitsFrontiers in Bioengineering and Biotechnology10.3389/fbioe.2024.137266912Online publication date: 20-Mar-2024
https://doi.org/10.3389/fbioe.2024.1372669
Yamac GO’Sullivan CNeff M(2024)Understanding the Impact of Visual and Kinematic Information on the Perception of Physicality ErrorsACM Transactions on Applied Perception10.1145/366063622:1(1-30)Online publication date: 12-Nov-2024
https://dl.acm.org/doi/10.1145/3660636
Rack CSchach LAchter FShehada YLin JLatoschik M(2024)Motion PasswordsProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3687711(1-11)Online publication date: 9-Oct-2024
https://dl.acm.org/doi/10.1145/3641825.3687711
Show More Cited By

Index Terms

Is the Motion of a Child Perceivably Different from the Motion of an Adult?
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        Motion capture
  2. Computer graphics
    1. Animation
    2. Graphics systems and interfaces
      1. Perception

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Published In

cover image ACM Transactions on Applied Perception

ACM Transactions on Applied Perception Volume 13, Issue 4

Special Issue SAP 2016

July 2016

71 pages

ISSN:1544-3558

EISSN:1544-3965

DOI:10.1145/2974016

Editors:
Victoria Interrante
University of Minnesota, USA
,
Diego Gutierrez
Universidad de Zaragoza, Spain

Issue’s Table of Contents

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 July 2016

Accepted: 01 May 2016

Received: 01 May 2016

Published in TAP Volume 13, Issue 4

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Cited By

Mohammadi Moghadam SOrtega Auriol PYeung TChoisne J(2024)3D gait analysis in children using wearable sensors: feasibility of predicting joint kinematics and kinetics with personalized machine learning models and inertial measurement unitsFrontiers in Bioengineering and Biotechnology10.3389/fbioe.2024.137266912Online publication date: 20-Mar-2024
https://doi.org/10.3389/fbioe.2024.1372669
Yamac GO’Sullivan CNeff M(2024)Understanding the Impact of Visual and Kinematic Information on the Perception of Physicality ErrorsACM Transactions on Applied Perception10.1145/366063622:1(1-30)Online publication date: 12-Nov-2024
https://dl.acm.org/doi/10.1145/3660636
Rack CSchach LAchter FShehada YLin JLatoschik M(2024)Motion PasswordsProceedings of the 30th ACM Symposium on Virtual Reality Software and Technology10.1145/3641825.3687711(1-11)Online publication date: 9-Oct-2024
https://dl.acm.org/doi/10.1145/3641825.3687711
Rack CNair VSchach LFoschum FRoth MLatoschik M(2024)Navigating the Kinematic Maze: Analyzing, Standardizing and Unifying XR Motion Datasets2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW62533.2024.00098(507-514)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VRW62533.2024.00098
Nair VRack CGuo WWang RLi SHuang BCull AO'Brien JLatoschik MRosenberg LSong D(2024)Inferring Private Personal Attributes of Virtual Reality Users from Ecologically Valid Head and Hand Motion Data2024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW62533.2024.00094(477-484)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VRW62533.2024.00094
Nair VRosenberg LO’Brien JSong D(2024)Truth in Motion: The Unprecedented Risks and Opportunities of Extended Reality Motion DataIEEE Security and Privacy10.1109/MSEC.2023.333039222:1(24-32)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/MSEC.2023.3330392
Nair VGuo WMattern JWang RO'Brien JRosenberg LSong DCalandrino JTroncoso C(2023)Unique identification of 50,000+ virtual reality users from head & hand motion dataProceedings of the 32nd USENIX Conference on Security Symposium10.5555/3620237.3620288(895-910)Online publication date: 9-Aug-2023
https://dl.acm.org/doi/10.5555/3620237.3620288
Hermann JDogangün AHesenius M(2023)Age-Based Differences in Drone Control Gestures: An Exploratory StudyProceedings of the 35th Australian Computer-Human Interaction Conference10.1145/3638380.3638401(49-58)Online publication date: 2-Dec-2023
https://dl.acm.org/doi/10.1145/3638380.3638401
de Wit JVogt PKrahmer E(2022)The Design and Observed Effects of Robot-performed Manual Gestures: A Systematic ReviewACM Transactions on Human-Robot Interaction10.1145/354953012:1(1-62)Online publication date: 19-Jul-2022
https://dl.acm.org/doi/10.1145/3549530
Woodward JAlemu FE. López Adames NAnthony LC. Yip JRuiz J(2022)“It Would Be Cool to Get Stampeded by Dinosaurs”: Analyzing Children's Conceptual Model of AR Headsets Through Co-DesignProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501979(1-13)Online publication date: 29-Apr-2022
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