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WLA4ND: a Wearable Dataset of Learning Activities for Young Adults with Neurodiversity to Provide Support in Education

Authors:

Pattiya Mahapasuthanon,

Huzefa Rangwala,

Anya S Evmenova,

Vivian Genaro MottiAuthors Info & Claims

ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

Article No.: 29, Pages 1 - 15

https://doi.org/10.1145/3441852.3471220

Published: 17 October 2021 Publication History

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Abstract

Data-driven assistive wearable technologies are promising to support young adults with neurodiversity in inclusive education. Existing datasets focus on wearable sensor data of various activities from neurotypical people. However, no dataset exists including learning-related activity data from individuals with neurodiversity. The contributions of this paper include (1) WLA4ND, a dataset of learning activities performed by eight young adults with neurodiversity collected from smartwatch sensors. The activities are common learning tasks, including reading, writing, typing, answering follow-up questions, and off-task. (2) Evaluation of classification on WLA4ND with five activity recognition models, including conventional and deep learning methods. The Convolutional Recurrent Neural Network (CRNN) model achieved a balanced accuracy of 92.2% for user-dependent evaluations, while Federated Multi-Task Hierarchical Attention Model (FATHOM) achieved 91.8% for user-independent evaluations. This evaluation demonstrates that existing activity recognition technologies can be applied to neurodiverse populations. Also, WLA4ND can be used by researchers as a complement for activity recognition, automatic labeling, and next-generation assistive wearable applications.

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References

[1]

Thomas Armstrong. 2012. Neurodiversity in the classroom: Strength-based strategies to help students with special needs succeed in school and life. ASCD.

[2]

Beatrice Aruanno, Franca Garzotto, Emanuele Torelli, and Francesco Vona. 2018. HoloLearn: Wearable Mixed Reality for People with Neurodevelopmental Disorders (NDD). In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (Galway, Ireland) (ASSETS ’18). Association for Computing Machinery, New York, NY, USA, 40–51. https://doi.org/10.1145/3234695.3236351

Digital Library

[3]

Oresti Banos, Juan-Manuel Galvez, Miguel Damas, Hector Pomares, and Ignacio Rojas. 2014. Window size impact in human activity recognition. Sensors 14, 4 (2014), 6474–6499.

[4]

Gustavo EAPA Batista, Ronaldo C Prati, and Maria Carolina Monard. 2004. A study of the behavior of several methods for balancing machine learning training data. ACM SIGKDD explorations newsletter 6, 1 (2004), 20–29.

[5]

Andrew A Bayor, Laurianne Sitbon, Bernd Ploderer, Filip Bircanin, Stewart Koplick, and Margot Brereton. 2019. Leveraging Participation: Supporting Skills Development of Young Adults with Intellectual Disability Using Social Media. In The 21st International ACM SIGACCESS Conference on Computers and Accessibility. 143–155.

[6]

Cynthia L Bennett, Erin Brady, and Stacy M Branham. 2018. Interdependence as a frame for assistive technology research and design. In Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility. 161–173.

Digital Library

[7]

Arpita Bhattacharya, Mirko Gelsomini, Patricia Pérez-Fuster, Gregory D Abowd, and Agata Rozga. 2015. Designing motion-based activities to engage students with autism in classroom settings. In Proceedings of the 14th International Conference on Interaction Design and Children. 69–78.

Digital Library

[8]

LouAnne E Boyd, Saumya Gupta, Sagar B Vikmani, Carlos M Gutierrez, Junxiang Yang, Erik Linstead, and Gillian R Hayes. 2018. vrSocial: toward immersive therapeutic VR systems for children with autism. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1–12.

Digital Library

[9]

LouAnne E Boyd, Xinlong Jiang, and Gillian R Hayes. 2017. ProCom: Designing and evaluating a mobile and wearable system to support proximity Awareness for People with Autism. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 2865–2877.

Digital Library

[10]

Nitesh V Chawla, Kevin W Bowyer, Lawrence O Hall, and W Philip Kegelmeyer. 2002. SMOTE: synthetic minority over-sampling technique. Journal of artificial intelligence research 16 (2002), 321–357.

[11]

Yujing Chen, Yue Ning, Zheng Chai, and Huzefa Rangwala. 2020. Federated Multi-task Learning with Hierarchical Attention for Sensor Data Analytics. In 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, 1–8.

[12]

Alexandra Chouldechova and Aaron Roth. 2020. A snapshot of the frontiers of fairness in machine learning. Commun. ACM 63, 5 (2020), 82–89.

Digital Library

[13]

Franceli L. Cibrian, Kimberley D. Lakes, Arya Tavakoulnia, Kayla Guzman, Sabrina Schuck, and Gillian R. Hayes. 2020. Supporting Self-Regulation of Children with ADHD Using Wearables: Tensions and Design Challenges. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–13. https://doi.org/10.1145/3313831.3376837

Digital Library

[14]

Razvan-Gabriel Cirstea, Darius-Valer Micu, Gabriel-Marcel Muresan, Chenjuan Guo, and Bin Yang. 2018. Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results. arXiv preprint arXiv:1808.09794(2018).

[15]

Jean Costa, François Guimbretière, Malte F Jung, and Tanzeem Choudhury. 2019. BoostMeUp: Improving Cognitive Performance in the Moment by Unobtrusively Regulating Emotions with a Smartwatch. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 3, 2 (2019), 1–23.

Digital Library

[16]

Victor Dibia. 2016. Foqus: A smartwatch application for individuals with adhd and mental health challenges. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility. 311–312.

Digital Library

[17]

Li Fei-Fei, Rob Fergus, and Pietro Perona. 2006. One-shot learning of object categories. IEEE transactions on pattern analysis and machine intelligence 28, 4(2006), 594–611.

Digital Library

[18]

Centers for Disease Control, Prevention, 2019. Data & statistics on autism spectrum disorder. Available at cdc. gov(2019).

[19]

Christopher Frauenberger. 2015. Disability and Technology: A Critical Realist Perspective. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility(Lisbon, Portugal) (ASSETS ’15). Association for Computing Machinery, New York, NY, USA, 89–96. https://doi.org/10.1145/2700648.2809851

Digital Library

[20]

Christopher Frauenberger, Katta Spiel, and Julia Makhaeva. 2019. Thinking outsideTheBox-designing smart things with autistic children. International Journal of Human–Computer Interaction 35, 8(2019), 666–678.

[21]

Mirko Gelsomini, Franca Garzotto, Daniele Montesano, and Daniele Occhiuto. 2016. Wildcard: A wearable virtual reality storytelling tool for children with intellectual developmental disability. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 5188–5191.

[22]

Felix A Gers, Jürgen Schmidhuber, and Fred Cummins. 1999. Learning to forget: Continual prediction with LSTM. (1999).

[23]

Ryan Colin Gibson, Mark D Dunlop, Matt-Mouley Bouamrane, and Revathy Nayar. 2020. Designing clinical AAC tablet applications with adults who have mild intellectual disabilities. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–13.

Digital Library

[24]

Alberto Gruarin, Michel A Westenberg, and Emilia I Barakova. 2013. StepByStep: Design of an interactive pictorial activity game for teaching generalization skills to children with autism. In International Conference on Entertainment Computing. Springer, 87–92.

[25]

Taku Hachisu, Yadong Pan, Soichiro Matsuda, Baptiste Bourreau, and Kenji Suzuki. 2018. FaceLooks: A Smart Headband for Signaling Face-to-Face Behavior. Sensors 18, 7 (2018), 2066.

[26]

John T Hancock and Taghi M Khoshgoftaar. 2020. Survey on categorical data for neural networks. Journal of Big Data 7(2020), 1–41.

[27]

Shafali Spurling Jeste. 2015. Neurodevelopmental behavioral and cognitive disorders. CONTINUUM: Lifelong Learning in Neurology 21, 3 (2015), 690–714.

[28]

Xinlong Jiang, Yiqiang Chen, Wuliang Huang, Teng Zhang, Chenlong Gao, Yunbing Xing, and Yi Zheng. 2020. WeDA: Designing and Evaluating A Scale-Driven Wearable Diagnostic Assessment System for Children with ADHD. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20). Association for Computing Machinery, New York, NY, USA, 1–12. https://doi.org/10.1145/3313831.3376374

Digital Library

[29]

Jerry L Johns. 2017. Basic reading inventory: Kindergarten through grade twelve and early literacy assessments. Kendall Hunt Publishing Company.

[30]

Evdokimos I Konstantinidis, Andrej Luneski, Christos A Frantzidis, Pappas Costas, and Panagiotis D Bamidis. 2009. A proposed framework of an interactive semi-virtual environment for enhanced education of children with autism spectrum disorders. In 2009 22nd IEEE International Symposium on Computer-Based Medical Systems. IEEE, 1–6.

[31]

Helen Koo. 2014. ’TellMe’ therapeutic clothing for children with autism spectrum disorder (ASD) in daily life. In Proceedings of the 2014 ACM International Symposium on Wearable Computers: Adjunct Program. 55–58.

Digital Library

[32]

Thomas Kosch, Romina Kettner, Markus Funk, and Albrecht Schmidt. 2016. Comparing tactile, auditory, and visual assembly error-feedback for workers with cognitive impairments. In Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility. 53–60.

Digital Library

[33]

Maria Kourakli, Ioannis Altanis, Symeon Retalis, Michail Boloudakis, Dimitrios Zbainos, and Katerina Antonopoulou. 2017. Towards the improvement of the cognitive, motoric and academic skills of students with special educational needs using Kinect learning games. International Journal of Child-Computer Interaction 11 (2017), 28–39.

Digital Library

[34]

Gierad Laput and Chris Harrison. 2019. Sensing Fine-Grained Hand Activity with Smartwatches. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. 1–13.

Digital Library

[35]

Marco Leo, G Medioni, M Trivedi, Takeo Kanade, and Giovanni Maria Farinella. 2017. Computer vision for assistive technologies. Computer Vision and Image Understanding 154 (2017), 1–15.

Digital Library

[36]

Kathleen F McCoy, John L Arnott, Leo Ferres, Melanie Fried-Oken, and Brian Roark. 2013. Speech and language processing as assistive technologies. Computer Speech & Language 27, 6 (2013), 1143–1146.

[37]

Nora McDonald, Sarita Schoenebeck, and Andrea Forte. 2019. Reliability and inter-rater reliability in qualitative research: Norms and guidelines for CSCW and HCI practice. Proceedings of the ACM on Human-Computer Interaction 3, CSCW(2019), 1–23.

Digital Library

[38]

Yasser Mohammad, Kazunori Matsumoto, and Keiichiro Hoashi. 2017. A dataset for activity recognition in an unmodified kitchen using smart-watch accelerometers. In Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia. 63–68.

Digital Library

[39]

Joan Mora-Guiard, Ciera Crowell, Narcis Pares, and Pamela Heaton. 2016. Lands of fog: helping children with autism in social interaction through a full-body interactive experience. In Proceedings of the the 15th international conference on interaction design and children. 262–274.

Digital Library

[40]

Vivian Genaro Motti. 2019. Designing emerging technologies for and with neurodiverse users. In Proceedings of the 37th ACM International Conference on the Design of Communication. 1–10.

Digital Library

[41]

AP Mullin, A Gokhale, A Moreno-De-Luca, S Sanyal, JL Waddington, and V Faundez. 2013. Neurodevelopmental disorders: mechanisms and boundary definitions from genomes, interactomes and proteomes. Translational psychiatry 3, 12 (2013), e329–e329.

[42]

Jianmo Ni, Larry Muhlstein, and Julian McAuley. 2019. Modeling Heart Rate and Activity Data for Personalized Fitness Recommendation. In The World Wide Web Conference. 1343–1353.

[43]

Amanda M O’Brien, Ralf W Schlosser, Howard Shane, Oliver Wendt, Christina Yu, Anna A Allen, Jacqueline Cullen, Andrea Benz, and Lindsay O’Neill. 2021. Providing visual directives via a smart watch to a student with Autism Spectrum Disorder: an intervention note. Augmentative and Alternative Communication(2021), 1–9.

[44]

Ji Hyun Park, Bretagne Abirached, and Yan Zhang. 2012. A framework for designing assistive technologies for teaching children with ASDs emotions. In CHI’12 extended abstracts on human factors in computing systems. 2423–2428.

[45]

Joon Sung Park, Danielle Bragg, Ece Kamar, and Meredith Ringel Morris. 2021. Designing an Online Infrastructure for Collecting AI Data From People With Disabilities. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. 52–63.

Digital Library

[46]

Chao-Ying Joanne Peng, Kuk Lida Lee, and Gary M Ingersoll. 2002. An introduction to logistic regression analysis and reporting. The journal of educational research 96, 1 (2002), 3–14.

[47]

Robert L Schalock. 2010. Intellectual disability. The Encyclopedia of Clinical Psychology(2010).

[48]

Farhad Shahmohammadi, Anahita Hosseini, Christine E King, and Majid Sarrafzadeh. 2017. Smartwatch based activity recognition using active learning. In 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE). IEEE, 321–329.

Digital Library

[49]

Moushumi Sharmin, Md Monsur Hossain, Abir Saha, Maitraye Das, Margot Maxwell, and Shameem Ahmed. 2018. From Research to Practice: Informing the Design of Autism Support Smart Technology. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, Article 102, 16 pages. https://doi.org/10.1145/3173574.3173676

Digital Library

[50]

Donghoon Shin, Jaeyoon Song, Seokwoo Song, Jisoo Park, Joonhwan Lee, and Soojin Jun. 2020. TalkingBoogie: Collaborative Mobile AAC System for Non-verbal Children with Developmental Disabilities and Their Caregivers. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–13.

Digital Library

[51]

Will Simm, Maria Angela Ferrario, Adrian Gradinar, Marcia Tavares Smith, Stephen Forshaw, Ian Smith, and Jon Whittle. 2016. Anxiety and autism: towards personalized digital health. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 1270–1281.

Digital Library

[52]

Laurianne Sitbon, Ross Brown, and Lauren Fell. 2019. Turning Heads: Designing Engaging Immersive Video Experiences to Support People with Intellectual Disability when Learning Everyday Living Skills. In The 21st International ACM SIGACCESS Conference on Computers and Accessibility. 171–182.

Digital Library

[53]

Dorothé Smit and Saskia Bakker. 2015. BlurtLine: A design exploration to support children with ADHD in classrooms. In IFIP Conference on Human-Computer Interaction. Springer, 456–460.

Digital Library

[54]

Jake Snell, Kevin Swersky, and Richard Zemel. 2017. Prototypical networks for few-shot learning. In Advances in neural information processing systems. 4077–4087.

[55]

Tobias Sonne, Carsten Obel, and Kaj Grønbæk. 2015. Designing real time assistive technologies: a study of children with ADHD. In Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction. 34–38.

Digital Library

[56]

Katta Spiel, Christopher Frauenberger, Os Keyes, and Geraldine Fitzpatrick. 2019. Agency of Autistic Children in Technology Research—A Critical Literature Review. ACM Trans. Comput.-Hum. Interact. 26, 6, Article 38 (Nov. 2019), 40 pages. https://doi.org/10.1145/3344919

Digital Library

[57]

Katta Spiel and Kathrin Gerling. 2020. The Purpose of Play: How HCI Games Research Fails Neurodivergent Populations. (2020).

[58]

Katta Spiel, Kathrin Gerling, Cynthia L Bennett, Emeline Brulé, Rua M Williams, Jennifer Rode, and Jennifer Mankoff. 2020. Nothing about us without us: Investigating the role of critical disability studies in hci. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems. 1–8.

Digital Library

[59]

Kenji Suzuki, Taku Hachisu, and Kazuki Iida. 2016. Enhancedtouch: A smart bracelet for enhancing human-human physical touch. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. 1282–1293.

Digital Library

[60]

Juan C Torrado, Javier Gomez, and Germán Montoro. 2017. Emotional self-regulation of individuals with autism spectrum disorders: smartwatches for monitoring and interaction. Sensors 17, 6 (2017), 1359.

[61]

Shari Trewin, Sara Basson, Michael Muller, Stacy Branham, Jutta Treviranus, Daniel Gruen, Daniel Hebert, Natalia Lyckowski, and Erich Manser. 2019. Considerations for AI fairness for people with disabilities. AI Matters 5, 3 (2019), 40–63.

Digital Library

[62]

Yonatan Vaizman, Katherine Ellis, Gert Lanckriet, and Nadir Weibel. 2018. Extrasensory app: Data collection in-the-wild with rich user interface to self-report behavior. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. 1–12.

Digital Library

[63]

Yonatan Vaizman, Nadir Weibel, and Gert Lanckriet. 2018. Context recognition in-the-wild: Unified model for multi-modal sensors and multi-label classification. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 4 (2018), 168.

Digital Library

[64]

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, undefinedukasz Kaiser, and Illia Polosukhin. 2017. Attention is All You Need. In Proceedings of the 31st International Conference on Neural Information Processing Systems (Long Beach, California, USA) (NIPS’17). Curran Associates Inc., Red Hook, NY, USA, 6000–6010.

Digital Library

[65]

Rui Wang, Gabriella Harari, Peilin Hao, Xia Zhou, and Andrew T Campbell. 2015. SmartGPA: how smartphones can assess and predict academic performance of college students. In Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing. 295–306.

Digital Library

[66]

Peter Washington, Catalin Voss, Aaron Kline, Nick Haber, Jena Daniels, Azar Fazel, Titas De, Carl Feinstein, Terry Winograd, and Dennis Wall. 2017. SuperpowerGlass: a wearable aid for the at-home therapy of children with autism. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies 1, 3 (2017), 1–22.

Digital Library

[67]

Gary M Weiss, Jessica L Timko, Catherine M Gallagher, Kenichi Yoneda, and Andrew J Schreiber. 2016. Smartwatch-based activity recognition: A machine learning approach. In 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 426–429.

[68]

Cara Wilson, Margot Brereton, Bernd Ploderer, and Laurianne Sitbon. 2018. MyWord: Enhancing engagement, interaction and self-expression with minimally-verbal children on the autism spectrum through a personal audio-visual dictionary. In Proceedings of the 17th ACM Conference on Interaction Design and Children. 106–118.

Digital Library

[69]

Cara Wilson, Laurianne Sitbon, Bernd Ploderer, Jeremy Opie, and Margot Brereton. 2020. Self-Expression by Design: Co-Designing the ExpressiBall with Minimally-Verbal Children on the Autism Spectrum. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1–13.

Digital Library

[70]

Jacob O Wobbrock and Julie A Kientz. 2016. Research contributions in human-computer interaction. interactions 23, 3 (2016), 38–44.

Digital Library

[71]

Qin Wu, Chenmei Yu, Yanjun Chen, Jiayu Yao, Xi Wu, Xiaolan Peng, and Teng Han. 2020. Squeeze the Ball: Designing an Interactive Playground towards Aiding Social Activities of Children with Low-Function Autism. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems.

Digital Library

[72]

Hui Zheng and Vivian Genaro Motti. 2018. Assisting Students with Intellectual and Developmental Disabilities in Inclusive Education with Smartwatches. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (Montreal QC, Canada) (CHI ’18). Association for Computing Machinery, New York, NY, USA, Article 350, 12 pages. https://doi.org/10.1145/3173574.3173924

Digital Library

[73]

Hui Zheng, Vivian Genaro Motti, Kudirat Giwa-Lawal, Anna Evmenova, and Heidi Graff. 2019. Evaluating WELI: A Wrist-Worn Application to Assist Young Adults with Neurodevelopmental Disorders in Inclusive Classes. In IFIP Conference on Human-Computer Interaction. Springer, 114–134.

Digital Library

Cited By

Krasniqi VZdravkova KDalipi F(2022)Impact of Assistive Technologies to Inclusive Education and Independent Life of Down Syndrome Persons: A Systematic Literature Review and Research AgendaSustainability10.3390/su1408463014:8(4630)Online publication date: 13-Apr-2022
https://doi.org/10.3390/su14084630
Flores-Carballo CMolina-Arenas GMacias ACaro KBeltran JCastro L(2022)Speaker Identification in Interactions between Mothers and Children with Down Syndrome via Audio Analysis: A Case Study in MexicoInternational Journal of Human–Computer Interaction10.1080/10447318.2022.209061039:9(1922-1937)Online publication date: 6-Jul-2022
https://doi.org/10.1080/10447318.2022.2090610

Index Terms

WLA4ND: a Wearable Dataset of Learning Activities for Young Adults with Neurodiversity to Provide Support in Education

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

ASSETS '21: Proceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility

October 2021

730 pages

ISBN:9781450383066

DOI:10.1145/3441852

Editors:
Jonathan Lazar
University of Maryland, USA
,
Jinjuan Heidi Feng
Towson University, USA
,
Faustina Hwang
Towson University, USA

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Published: 17 October 2021

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ASSETS '21: The 23rd International ACM SIGACCESS Conference on Computers and Accessibility

October 18 - 22, 2021

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Cited By

Krasniqi VZdravkova KDalipi F(2022)Impact of Assistive Technologies to Inclusive Education and Independent Life of Down Syndrome Persons: A Systematic Literature Review and Research AgendaSustainability10.3390/su1408463014:8(4630)Online publication date: 13-Apr-2022
https://doi.org/10.3390/su14084630
Flores-Carballo CMolina-Arenas GMacias ACaro KBeltran JCastro L(2022)Speaker Identification in Interactions between Mothers and Children with Down Syndrome via Audio Analysis: A Case Study in MexicoInternational Journal of Human–Computer Interaction10.1080/10447318.2022.209061039:9(1922-1937)Online publication date: 6-Jul-2022
https://doi.org/10.1080/10447318.2022.2090610

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