Table of Contents Author Guidelines Submit a Manuscript
Journal of Sensors
Volume 2015 (2015), Article ID 898047, 9 pages
http://dx.doi.org/10.1155/2015/898047
Research Article

Utilizing Smart Textiles-Enabled Sensorized Toy and Playful Interactions for Assessment of Psychomotor Development on Children

1School of Technology and Health, KTH Royal Institute of Technology, 14152 Huddinge, Sweden
2School of Telecommunications Systems and Engineering, Universidad Politécnica de Madrid, Carretera Valencia Km 7, 28038 Madrid, Spain
3Faculty of Care Science, Work Life and Social Welfare, University of Borås, 50190 Borås, Sweden
4Saturday Light Fever AB, 50437 Borås, Sweden

Received 9 January 2015; Accepted 16 April 2015

Academic Editor: Alain Pauly

Copyright © 2015 Mario Vega-Barbas et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. Lowgren, “Interaction design—brief intro,” in The Encyclopedia of Human-Computer Interaction, M. Soegaard and R. F. Dam, Eds., The Interaction Design Foundation, Aarhus, Denmark, 2nd edition, 2014, https://www.interaction-design.org/encyclopedia/interaction_design.html. View at Google Scholar
  2. H. Sharp, Y. Rogers, and J. Preece, Interaction Design: Beyond Human-Computer Interaction, 2002.
  3. F.-Y. Pai and K.-I. Huang, “Applying the Technology Acceptance Model to the introduction of healthcare information systems,” Technological Forecasting and Social Change, vol. 78, no. 4, pp. 650–660, 2011. View at Publisher · View at Google Scholar · View at Scopus
  4. K. Connelly, “On developing a technology acceptance model for pervasive computing,” in Proceedings of the 9th International Conference on Ubiquitous Computing (UBICOMP)—Workshop of Ubiquitous System Evaluation (USE ’07), p. 520, Springer, Innsbruck, Austria, September 2007.
  5. M. Vega-Barbas, I. Pau, and F. Seoane, “Confidence: dependencies and their critical role in fostering user acceptance in pervasive applications,” in Proceedings of the EAI 4th International Conference on Wireless Mobile Communication and Healthcare (Mobihealth ’14), pp. 283–286, IEEE, Athens, Greece, November 2014. View at Publisher · View at Google Scholar
  6. J. P. Shonkoff and S. J. Meisels, Handbook of Early Childhood Intervention, Cambridge University Press, Cambridge, UK, 2000. View at Publisher · View at Google Scholar
  7. V. Soriano and European Agency for Development in Special Needs Education, “Early childhood intervention: analysis of situations in europe; key aspects and recommendations,” Summary Report, European Agency for Development in Special Needs Education, 2005. View at Google Scholar
  8. Y. Zheng, S. P. Maude, and M. J. Brotherson, “Early childhood intervention in China,” Journal of International Special Needs Education, vol. 18, no. 1, pp. 29–39, 2015. View at Google Scholar
  9. W. B. Karp, R. K. Grigsby, M. McSwiggan-Hardin et al., “Use of telemedicine for children with special health care needs,” Pediatrics, vol. 105, no. 4 I, pp. 843–847, 2000. View at Publisher · View at Google Scholar · View at Scopus
  10. J. P. Marcin, “Telemedicine in the pediatric intensive care unit,” Pediatric Clinics of North America, vol. 60, no. 3, pp. 582–592, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. M. L. M. Ruiz, V. Á. V. Duboy, C. T. Loriente, and I. P. de la Cruz, “Evaluating a web-based clinical decision support system for language disorders screening in a nursery school,” Journal of Medical Internet Research, vol. 16, no. 5, article e139, 2014. View at Publisher · View at Google Scholar
  12. C. Krüger and M. Niemi, “A telemedicine network to support paediatric care in small hospitals in rural Tanzania,” Journal of Telemedicine and Telecare, vol. 18, no. 1, pp. 59–62, 2012. View at Publisher · View at Google Scholar · View at Scopus
  13. L. Kidd, S. Cayless, B. Johnston, and Y. Wengstrom, “Telehealth in palliative care in the UK: a review of the evidence,” Journal of Telemedicine and Telecare, vol. 16, no. 7, pp. 394–402, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. T. H. F. Broens, R. M. H. A. Huis in't Veld, M. M. R. Vollenbroek-Hutten, H. J. Hermens, A. T. van Halteren, and L. J. M. Nieuwenhuis, “Determinants of successful telemedicine implementations: a literature study,” Journal of Telemedicine and Telecare, vol. 13, no. 6, pp. 303–309, 2007. View at Publisher · View at Google Scholar · View at Scopus
  15. C. Sanders, A. Rogers, R. Bowen et al., “Exploring barriers to participation and adoption of telehealth and telecare within the Whole System Demonstrator trial: a qualitative study,” BMC Health Services Research, vol. 12, no. 1, article 220, 2012. View at Publisher · View at Google Scholar · View at Scopus
  16. G. Demiris, N. Charness, E. Krupinski et al., “The role of human factors in telehealth,” Telemedicine and e-Health, vol. 16, no. 4, pp. 446–453, 2010. View at Publisher · View at Google Scholar · View at Scopus
  17. J. Löfhede, F. Seoane, and M. Thordstein, “Textile electrodes for EEG recording—a pilot study,” Sensors, vol. 12, no. 12, pp. 16907–16919, 2012. View at Publisher · View at Google Scholar
  18. J. C. Márquez, F. Seoane, E. Välimäki, and K. Lindecrantz, “Comparison of dry-textile electrodes for electrical bioimpedance spectroscopy measurements,” Journal of Physics: Conference Series, vol. 224, no. 1, Article ID 012140, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. J. C. Marquez, J. Ferreira, F. Seoane, R. Buendia, and K. Lindecrantz, “Textile electrode straps for wrist-to-ankle bioimpedance measurements for Body Composition Analysis. Initial validation & experimental results,” in Proceedings of the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '10), pp. 6385–6388, IEEE, September 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. L. Xie, G. Yang, L. Xu, F. Seoane, Q. Chen, and L. Zheng, “Characterization of dry biopotential electrodes,” in Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC '13), pp. 1478–1481, July 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. J. C. Márquez, F. Seoane, and K. Lindecrantz, “Textrode functional straps for bioimpedance measurements-experimental results for body composition analysis,” European Journal of Clinical Nutrition, vol. 67, no. 1, pp. S22–S27, 2013. View at Publisher · View at Google Scholar · View at Scopus
  22. I. Cuba-Gyllensten, P. Gastelurrutia, J. Riistama et al., “A novel wearable vest for tracking pulmonary congestion in acutely decompensated heart failure,” International Journal of Cardiology, vol. 177, no. 1, pp. 199–201, 2014. View at Publisher · View at Google Scholar
  23. J. Hännikäinen, T. Vuorela, and J. Vanhala, “Physiological measurements in smart clothing: a case study of total body water estimation with bioimpedance,” Transactions of the Institute of Measurement and Control, vol. 29, no. 3-4, pp. 337–354, 2007. View at Publisher · View at Google Scholar · View at Scopus
  24. F. Seoane, I. Mohino-Herranz, J. Ferreira et al., “Wearable biomedical measurement systems for assessment of mental stress of combatants in real time,” Sensors, vol. 14, no. 4, pp. 7120–7141, 2014. View at Publisher · View at Google Scholar · View at Scopus
  25. S. Dakova and N. Dumont, “An overview of textile interfaces,” 2014, https://hci.rwth-aachen.de/tiki-download_wiki_attachment.php?attId=1176.
  26. E. Gabarron, T. Schopf, J. A. Serrano, L. Fernandez-Luque, and E. Dorronzoro, “Gamification strategy on prevention of STDs for youth,” in Studies in Health Technology and Informatics, vol. 192, p. 1066, 2013. View at Google Scholar
  27. R. Hu, G. Fico, J. Cancela, and M. T. Arredondo, “Gamification system to support family-based behavioral interventions for childhood obesity,” in Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI '14), pp. 181–184, IEEE, Valencia, Spain, June 2014. View at Publisher · View at Google Scholar
  28. A. S. Miller, J. A. Cafazzo, and E. Seto, “A game plan: Gamification design principles in mHealth applications for chronic disease management,” Health Informatics Journal, 2014. View at Publisher · View at Google Scholar
  29. O. F. Roca, BYOD, Gamification & High Definition Innovations for Telemedicine, CATAI, 2012.
  30. T. L. Westeyn, G. D. Abowd, T. E. Starner, J. M. Johnson, P. W. Presti, and K. A. Weaver, “Monitoring children's developmental progress using augmented toys and activity recognition,” Personal and Ubiquitous Computing, vol. 16, no. 2, pp. 169–191, 2012. View at Publisher · View at Google Scholar · View at Scopus
  31. L. Berglin, “Spookies: combining smart materials and information technology in an interactive toy,” in Proceedings of the Conference on Interaction Design and Children (IDC '05), pp. 17–23, ACM, Boulder, Colo, USA, June 2005. View at Publisher · View at Google Scholar
  32. P. Marti, “Bringing playfulness to disabilities,” in Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries (NordiCHI '10), pp. 851–856, ACM, October 2010. View at Publisher · View at Google Scholar · View at Scopus
  33. S. Ananthanarayan and K. A. Siek, “Health sense: a gedanken experiment on persuasive wearable technology for health awareness,” in Proceedings of the 1st ACM International Health Informatics Symposium (IHI '10), pp. 400–404, ACM, November 2010. View at Publisher · View at Google Scholar · View at Scopus
  34. H. Raffle, “Kinesthetic media: touch, toys & interactive materials,” in Proceedings of the ACM SIGGRAPH Educators Program (SIGGRAPH '06), p. 8, ACM, Boston, Mass, USA, July 2006. View at Publisher · View at Google Scholar
  35. M. Grierson and C. Kiefer, “NoiseBear: a wireless malleable multiparametric controller for use in assistive technology contexts,” in Proceedings of the CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13), pp. 2923–2926, ACM, 2013.
  36. E. Matute, M. Rosselli, A. Ardila, and F. Ostrosky-Solis, Evaluación Neuropsicológica Infantil, Manual Moderno, Mexico City, Mexico, 2007.
  37. M. Semrud-Clikeman and P. Teeter, Neuropsicología Infantil. Evaluación e Intervención en los Trastornos Neuroevolutivos, UNED Pearson, Madrid, Spain, 2011.
  38. X. Wang, “Impact analysis of early environmental stimuli on infant behavior and development,” Guide of China Medicine, vol. 3, article 10, 2013. View at Google Scholar
  39. W. Buckleitner, Child Development 101 for Interactive Media Designers: An Overview of Influential Theories, Applied to Practice, Active Learning Associates, Mishawaka, Ind, USA, 2015.
  40. T. Igoe, Making Things Talk: Using Sensors, Networks, and Arduino to See, Hear, and Feel Your World, O'Reilly Media, Inc., 2011.
  41. B. Zhou, J. Cheng, M. Sundholm, and P. Lukowicz, “From smart clothing to smart table cloth: design and implementation of a large scale, textile pressure matrix sensor,” in Architecture of Computing Systems—ARCS 2014, pp. 159–170, Springer International, 2014. View at Google Scholar
  42. T.-W. Shyr, J.-W. Shie, C.-H. Jiang, and J.-J. Li, “A textile-based wearable sensing device designed for monitoring the flexion angle of elbow and knee movements,” Sensors, vol. 14, no. 3, pp. 4050–4059, 2014. View at Publisher · View at Google Scholar · View at Scopus
  43. M. Kuniavsky, Smart Things: Ubiquitous Computing User Experience Design, Elsevier, New York, NY, USA, 2010.
  44. W. Farr, N. Yuill, and S. Hinske, “An augmented toy and social interaction in children with autism,” International Journal of Arts and Technology, vol. 5, no. 2–4, pp. 104–125, 2012. View at Publisher · View at Google Scholar · View at Scopus
  45. I. Giannopulu and G. Pradel, “Multimodal interactions in free game play of children with autism and a mobile toy robot,” NeuroRehabilitation, vol. 27, no. 4, pp. 305–311, 2010. View at Publisher · View at Google Scholar · View at Scopus