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Multimodal annotation tool for challenging behaviors in people with Autism spectrum disorders

Authors:

Rosalind W. PicardAuthors Info & Claims

UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Pages 737 - 740

https://doi.org/10.1145/2370216.2370378

Published: 05 September 2012 Publication History

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Abstract

Individuals diagnosed with Autism Spectrum Disorders (ASD) often have challenging behaviors (CB's), such as self-injury or emotional outbursts, which can negatively impact the quality of life of themselves and those around them. Recent advances in mobile and ubiquitous technologies provide an opportunity to efficiently and accurately capture important information preceding and associated with these CB's. The ability to obtain this type of data will help with both intervention and behavioral phenotyping efforts. Through collaboration with behavioral scientists and therapists, we identified relevant design requirements and created an easy-to-use mobile application for collecting, labeling, and sharing in-situ behavior data in individuals diagnosed with ASD. Furthermore, we have released the application to the community as an open-source project so it can be validated and extended by other researchers.

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Moctezuma LAbe TMolinas M(2022)Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithmScientific Reports10.1038/s41598-022-07517-512:1Online publication date: 3-Mar-2022
https://doi.org/10.1038/s41598-022-07517-5
deLeyer‐Tiarks JLi MLevine‐Schmitt MAndrade BBray MPeters E(2022)Advancing autism technologyPsychology in the Schools10.1002/pits.2280260:2(495-506)Online publication date: 26-Sep-2022
https://doi.org/10.1002/pits.22802
Zheng ZStaubitz JWeitlauf AStaubitz JPollack MShibley LHopton MMartin WSwanson AJuárez PWarren ZSarkar N(2021)A Predictive Multimodal Framework to Alert Caregivers of Problem Behaviors for Children with ASD (PreMAC)Sensors10.3390/s2102037021:2(370)Online publication date: 7-Jan-2021
https://doi.org/10.3390/s21020370
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Index Terms

Multimodal annotation tool for challenging behaviors in people with Autism spectrum disorders
1. Applied computing
  1. Law, social and behavioral sciences
2. Social and professional topics
  1. Professional topics
    1. Computing profession
      1. Assistive technologies
  2. User characteristics
    1. People with disabilities

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Information & Contributors

Information

Published In

UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing

September 2012

1268 pages

ISBN:9781450312240

DOI:10.1145/2370216

General Chair:
Anind K. Dey
Carnegie Mellon University
,
Program Chairs:
Hao-Hua Chu
National Taiwan University, Taiwan
,
Gillian Hayes
University of California, Irvine

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 ACM 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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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 September 2012

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Division of Computing and Communication Foundations

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Ubicomp '12

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Ubicomp '12: The 2012 ACM Conference on Ubiquitous Computing

September 5 - 8, 2012

Pennsylvania, Pittsburgh

Acceptance Rates

UbiComp '12 Paper Acceptance Rate 58 of 301 submissions, 19%;

Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Citations

Cited By

View all

Moctezuma LAbe TMolinas M(2022)Two-dimensional CNN-based distinction of human emotions from EEG channels selected by multi-objective evolutionary algorithmScientific Reports10.1038/s41598-022-07517-512:1Online publication date: 3-Mar-2022
https://doi.org/10.1038/s41598-022-07517-5
deLeyer‐Tiarks JLi MLevine‐Schmitt MAndrade BBray MPeters E(2022)Advancing autism technologyPsychology in the Schools10.1002/pits.2280260:2(495-506)Online publication date: 26-Sep-2022
https://doi.org/10.1002/pits.22802
Zheng ZStaubitz JWeitlauf AStaubitz JPollack MShibley LHopton MMartin WSwanson AJuárez PWarren ZSarkar N(2021)A Predictive Multimodal Framework to Alert Caregivers of Problem Behaviors for Children with ASD (PreMAC)Sensors10.3390/s2102037021:2(370)Online publication date: 7-Jan-2021
https://doi.org/10.3390/s21020370
Papakostas GSidiropoulos GPapadopoulou CVrochidou EKaburlasos VPapadopoulou MHoleva VNikopoulou VDalivigkas N(2021)Social Robots in Special Education: A Systematic ReviewElectronics10.3390/electronics1012139810:12(1398)Online publication date: 10-Jun-2021
https://doi.org/10.3390/electronics10121398
Chong PAbel EPao RMcCormick CSchwichtenberg A(2021)Sleep Dysregulation and Daytime Electrodermal Patterns in Children With Autism: A Descriptive StudyThe Journal of Genetic Psychology10.1080/00221325.2021.1911919182:5(335-347)Online publication date: 16-Apr-2021
https://doi.org/10.1080/00221325.2021.1911919
Kim SJo ERyu MCha IKim YYoo HHong HMayora OForti SMeyer JMamykina L(2019)Toward Becoming a Better SelfProceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3329189.3329209(169-178)Online publication date: 20-May-2019
https://dl.acm.org/doi/10.1145/3329189.3329209
Koumpouros YKafazis T(2019)Wearables and mobile technologies in Autism Spectrum Disorder interventions: A systematic literature reviewResearch in Autism Spectrum Disorders10.1016/j.rasd.2019.05.00566(101405)Online publication date: Oct-2019
https://doi.org/10.1016/j.rasd.2019.05.005
Visuri AOpoku Asare KKuosmanen ENishiyama YFerreira DSarsenbayeva ZGoncalves Jvan Berkel NWadley GKostakos VClinch SMatthews OHarper SJenkins ASnow Sschraefel m(2018)Ubiquitous Mobile SensingProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3274142(1140-1143)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3274142
Daily SJames MCherry DJ. Porter JDarnell SIsaac JRoy T(2017)Affective Computing: Historical Foundations, Current Applications, and Future TrendsEmotions and Affect in Human Factors and Human-Computer Interaction10.1016/B978-0-12-801851-4.00009-4(213-231)Online publication date: 2017
https://doi.org/10.1016/B978-0-12-801851-4.00009-4
Ferreira DOkoshi TNishiyama YKoehler CPark JLucero ALukowicz PKrüger ABulling ALim YPatel S(2016)3rd international workshop on ubiquitous mobile instrumentationProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct10.1145/2968219.2978276(608-611)Online publication date: 12-Sep-2016
https://dl.acm.org/doi/10.1145/2968219.2978276
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GeniAuti: Toward Data-Driven Interventions to Challenging Behaviors of Autistic Children through Caregivers' Tracking

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