Dario Cazzato
ABSTRACT
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disability characterized by difficulties in keeping concentration, excessive activity and difficulties controlling behaviour not appropriate to the person's age. It is estimated to affect between 4--9% of youths and 2--5% of adults. Assistive technologies can help people with ADHD to reach goals, stay organized and even fight the urge to succumb to forms of distraction. This work introduces a tool designed for people with ADHD aimed at detecting and training their ability to follow a target in a screen. The tool is based on non-invasive monocular gaze estimation technique without constraints in terms of user dependent calibration or appearance. The system has been employed and validated in a human-computer interaction (HCI) scenario with the aim of evaluating the user visual exploration. Results show that the tool can be used in complex tasks like monitoring a user progress comparing performance after different sessions.
- Nor Azlina Ab Aziz, Kamarulzaman Ab Aziz, Avijit Paul, Anuar Mohd Yusof, and Noor Shuhailie Mohamed Noor. 2012. Providing augmented reality based education for students with attention deficit hyperactive disorder via cloud computing: Its advantages. In Advanced Communication Technology (ICACT), 2012 14th International Conference on. IEEE, 577--581.Google Scholar
- American Psychiatric Association et al. 2013. Diagnostic and statistical manual of mental disorders (DSM-5®). American Psychiatric Pub.Google Scholar
- Russell A Barkley. 2014. Attention-deficit hyperactivity disorder: A handbook for diagnosis and treatment. Guilford Publications.Google Scholar
- Aida Bikic, James F Leckman, Jane Lindschou, Torben Ø Christensen, and Søren Dalsgaard. 2015. Cognitive computer training in children with attention deficit hyperactivity disorder (ADHD) versus no intervention: study protocol for a randomized controlled trial. Trials 16, 1 (2015), 480.Google ScholarCross Ref
- Anna Bosch, Andrew Zisserman, and Xavier Munoz. 2007. Image classification using random forests and ferns. In 2007 IEEE 11th International Conference on Computer Vision. IEEE, 1--8.Google ScholarCross Ref
- G. Bradski. 2000. The OpenCV Library. Dr. Dobb's Journal of Software Tools (2000).Google Scholar
- John Canny. 1986. A computational approach to edge detection. Pattern Analysis and Machine Intelligence, IEEE Transactions on 6 (1986), 679--698. Google ScholarDigital Library
- Dario Cazzato, Fabio Dominio, Roberto Manduchi, and Silvia M Castro. 2018. Real-time gaze estimation via pupil center tracking. Paladyn, Journal of Behavioral Robotics 9, 1 (2018), 6--18.Google ScholarCross Ref
- Trevor J Crawford, Steve Higham, Jenny Mayes, Mark Dale, Sandip Shaunak, and Godwin Lekwuwa. 2013. The role of working memory and attentional disengagement on inhibitory control: effects of aging and Alzheimer's disease. Age 35, 5 (2013), 1637--1650.Google ScholarCross Ref
- Fernando de la Torre, Wen-Sheng Chu, Xuehan Xiong, Francisco Vicente, Xiaoyu Ding, and Jeffrey Cohn. 2015. Intraface. In Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on, Vol. 1. IEEE, 1--8.Google ScholarCross Ref
- Neil A Dodgson. 2004. Variation and extrema of human interpupillary distance. In Electronic imaging2004. International Society for Optics and Photonics, 36--46.Google Scholar
- John Fayyad, Nancy A Sampson, Irving Hwang, Tomasz Adamowski, Sergio Aguilar-Gaxiola, Ali Al-Hamzawi, Laura HSG Andrade, Guilherme Borges, Giovanni de Girolamo, Silvia Florescu, et al. 2017. The descriptive epidemiology of DSM-IV Adult ADHD in the world health organization world mental health surveys. ADHD Attention Deficit and Hyperactivity Disorders 9, 1 (2017), 47--65.Google ScholarCross Ref
- Begoña Garcia-Zapirain, Isabel de la Torre Díez, and Miguel López-Coronado. 2017. Dual system for enhancing cognitive abilities of children with ADHD using leap motion and eye-tracking technologies. Journal of medical systems 41, 7 (2017), 111. Google ScholarDigital Library
- Claire C Gordon, Cynthia L Blackwell, Bruce Bradtmiller, Joseph L Parham, Patricia Barrientos, Stephen P Paquette, Brian D Corner, Jeremy M Carson, Joseph C Venezia, Belva M Rockwell, et al. 2014. 2012 Anthropometric Survey of US Army Personnel: Methods and Summary Statistics. Technical Report. ARMY NATICK SOLDIER RESEARCH DEVELOPMENT AND ENGINEERING CENTER MA.Google Scholar
- Chao Gu, Zhong-Xu Liu, Rosemary Tannock, and Steven Woltering. 2018. Neural processing of working memory in adults with ADHD in a visuospatial change detection task with distractors. PeerJ 6 (2018), e5601.Google ScholarCross Ref
- Stephen Houghton, Nikki Milner, John West, Graham Douglas, Vivienne Lawrence, Ken Whiting, Rosemary Tannock, and Kevin Durkin. 2004. Motor control and sequencing of boys with Attention-Deficit/Hyperactivity Disorder (ADHD) during computer game play. British Journal of Educational Technology 35, 1 (2004), 21--34.Google ScholarCross Ref
- Leslie K Jacobsen, Walter L Hong, Daniel W Hommer, Susan D Hamburger, F Xavier Castellanos, Jean A Frazier, Jay N Giedd, Charles T Gordon, Barbara I Karp, Kathleen McKenna, et al. 1996. Smooth pursuit eye movements in childhood-onset schizophrenia: comparison with attention-deficit hyperactivity disorder and normal controls. Biological psychiatry 40, 11 (1996), 1144--1154.Google Scholar
- Helena Lindstedt and Õie Umb-Carlsson. 2013. Cognitive assistive technology and professional support in everyday life for adults with ADHD. Disability and Rehabilitation: Assistive Technology 8, 5 (2013), 402--408.Google ScholarCross Ref
- Andrea Marotta, Maria Casagrande, Caterina Rosa, Lisa Maccari, Bianca Berloco, and Augusto Pasini. 2014. Impaired reflexive orienting to social cues in attention deficit hyperactivity disorder. European child & adolescent psychiatry 23, 8 (2014), 649--657.Google Scholar
- Stephen M Pizer, E Philip Amburn, John D Austin, Robert Cromartie, Ari Geselowitz, Trey Greer, Bart ter Haar Romeny, John B Zimmerman, and Karel Zuiderveld. 1987. Adaptive histogram equalization and its variations. Computer vision, graphics, and image processing 39, 3 (1987), 355--368. Google ScholarDigital Library
- Marsha D Rappley. 2005. Attention deficit-hyperactivity disorder. New England Journal of Medicine 352, 2 (2005), 165--173.Google ScholarCross Ref
- Albert A Rizzo, J Galen Buckwalter, Todd Bowerly, Cheryl Van Der Zaag, L Humphrey, Ulrich Neumann, Clint Chua, Chris Kyriakakis, Andre Van Rooyen, and D Sisemore. 2000. The virtual classroom: a virtual reality environment for the assessment and rehabilitation of attention deficits. CyberPsychology & Behavior 3, 3 (2000), 483--499.Google ScholarCross Ref
- David R Rosenberg, John A Sweeney, Elizabeth Squires-Wheeler, Matcheri S Keshavan, Barbara A Cornblatt, and L Erlenmeyer-Kimling. 1997. Eye-tracking dysfunction in offspring from the New York High-Risk Project: diagnostic specificity and the role of attention. Psychiatry research 66, 2 (1997), 121--130.Google Scholar
- Terje Sagvolden, Espen Borga Johansen, Heidi Aase, and Vivienne Ann Russell. 2005. A dynamic developmental theory of attention-deficit/hyperactivity disorder (ADHD) predominantly hyperactive/impulsive and combined subtypes. Behavioral and Brain Sciences 28, 3 (2005), 397--418.Google ScholarCross Ref
- Marcin Smereka and Ignacy Duleba. 2008. Circular object detection using a modified Hough transform. International Journal of Applied Mathematics and Computer Science 18, 1 (2008), 85--91. Google ScholarDigital Library
- T Sonne, P Marshall, and F Le Cornu Knight. 2017. Using mobile technology interventions to facilitate healthy sleep habits for children with ADHD. Sleep Medicine 40 (2017), e181--e182.Google ScholarCross Ref
- Edmund Sonuga-Barke, Daniel Brandeis, Martin Holtmann, and Samuele Cortese. 2014. Computer-based cognitive training for ADHD: a review of current evidence. Child and Adolescent Psychiatric Clinics 23, 4 (2014), 807--824.Google ScholarCross Ref
- Paul Viola and Michael Jones. 2001. Rapid object detection using a boosted cascade of simple features. In Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on, Vol. 1. IEEE, I--511.Google ScholarCross Ref
- Timothy E Wilens, Stephen V Faraone, Joseph Biederman, and Samantha Gunawardene. 2003. Does stimulant therapy of attention-deficit/hyperactivity disorder beget later substance abuse? A meta-analytic review of the literature. Pediatrics 111, 1 (2003), 179--185.Google ScholarCross Ref
- T Willkomm and E LoPresti. 1997. Evaluation of an electronic memory aid for prospective memory tasks. In Proceedings of the RESNA 1997 annual conference. 520--522.Google Scholar
- Chunzhen Xu, Robert Reid, and Allen Steckelberg. 2002. Technology applications for children with ADHD: Assessing the empirical support. Education and Treatment of Children (2002), 224--248.Google Scholar
Index Terms
- A non-invasive tool for attention-deficit disorder analysis based on gaze tracks
Recommendations
Students with Attention-Deficit/Hyperactivity Disorder and Utilizing Virtual Reality to Improve Driving Skills
ISS Companion '23: Companion Proceedings of the 2023 Conference on Interactive Surfaces and SpacesAttention-deficit hyperactivity disorder (ADHD) is a developmental disability that affects both adolescents and adults in the current time. With driving being a staple part of the American lifestyle, it is clear that such disabilities can inhibit the ...
Comments