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Overview of Mobile Sensing for Special Needs: Lessons Learned from I Can Workshop

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Sensor Systems and Software (S-CUBE 2014)

Abstract

There is nothing more frustrating than being unable to react, hear various noises, see the sunlight, effectively communicate with other humans, or mobilize. Our ability to do so is one of the keystones of what it means to be human, and the very base of our civilization and knowledge. At King Saud University, we have run a workshop to explore and classify the main portable and mobile technologies used for Special Needs and to highlight some of the underexplored sensors or devices which might be help special needs, ranging from motion detection for visually impaired to GPS tracking in the shoes of Dementia sufferers. In this paper we sum up some of our ideas and basic findings during the workshop. Beside some of the future research opportunities and challenges in this area are discussed.

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References

  1. GTX Corp Two Way GPS Tracking Enterprise Solutions GPS Shoe GTXO. (2012). http://www.gtxcorp.com/

  2. Tobii Technology Global Start Page. http://www.tobii.com/

  3. Memory Loss. (2011). http://www.nhs.uk/conditions/memory-loss/Pages/Introduction.aspx

  4. Dementia. (2010). http://www.nhs.uk/conditions/dementia/Pages/Introduction.aspx

  5. Alzheimer’s Disease. (2012). http://www.nhs.uk/conditions/Alzheimers-disease/Pages/Introduction.aspx

  6. Dementia statistics. (2010). http://www.alz.co.uk/research/statistics

  7. Apps For Blind And Visually Impaired. http://appadvice.com/applists/show/apps-for-the-visually-impaired

  8. Apps For The Blind And Visually Impaired: iPad/iPhone Apps AppList. http://appadvice.com/applists/show/apps-for-the-visually-impaired. Accessed 2012 November 25

  9. Kanjo, E.: NoiseSPY: A Real-Time Mobile Phone Platform for Urban. Springer Science, Heidelberg (2009)

    Google Scholar 

  10. AlGhamdi, N., AlOhali, Y.: The design and development of an interactive aural rehabilitation therapy program. In: 12th International ACM SIGACCESS Conference on Computers and Accessibility ASSETS 2010, Orlando, Florida, USA (2010)

    Google Scholar 

  11. Dyslexia. (2012). http://www.medicinenet.com/dyslexia/article.htm

  12. Rogge, T., Zieve, D.: Attention deficit hyperactivity disorder (ADHD). (2012). http://www.ncbi.nlm.nih.gov/pubmedhealth/PMH0002518/

  13. Autism Behaviour. (2012). http://alpinelearninggroup.org/about-us/about-autism

  14. Chronic Diseases. (2010). http://www.who.int/topics/chronic_diseases/en/

  15. Diabetes in Saudi Arabia. http://whatsupksa.net/v3/index.php/health/diabetes-in-saudi-arabia

  16. Osterberg, L.: Adherence to medication. N. Engl. J. Medicen 353, 487–497 (2005)

    Article  Google Scholar 

  17. Al-Qasem, F.: Adherence to medication among chronic patients in middle eastern countries: review of studies. Eastern Mediterr. Health J. 17(4), 356–363 (2011)

    Google Scholar 

  18. Gammon, D., Arsand, E., Walseth, O., Andersson, N., Jenssen, M., Taylor, T.: Parent-child interaction using a mobile and wireless system for blood glucose monitoring. J. Med. Internet Res. 7(5), e57 (2005)

    Article  Google Scholar 

  19. Moy, M., Israel, E., Weiss, S., Juniper, E., Dubé, L., Drazen, J.: Clinical predictors of health-related quality of life depend on asthma severity. Am. J. Respiratr. Crit. Care Med. 163(4), 924–929 (2001)

    Article  Google Scholar 

  20. Khan, G.: Asthma rate in Kingdom alarming, says specialist. (2009). http://www.a1saudiarabia.com/1094-asthma-rate-in-kingdom-alarming-says-specialist/

  21. WHO mortality and morbidity. http://www.who.int/gho/ncd/mortality_morbidity/en/index.htm

  22. Anhoj, J., Moldrup, C.: Feasibility of collecting diary data from asthma patients through mobile phones and SMS. J. Med. Internet Res. 6(5), 567–578 (2004)

    Google Scholar 

  23. AlAjlan, M., Al-dowaihi, D., Al-Zahrani, N., Aljwiser, N., Al-qwifly, N., Kanjo, E.: Mbreath: asthma monitoring on the go. In: IEEE International Conference on medical Applications ICCMA, Tunisia (2013)

    Google Scholar 

  24. Bielli, E., Carminati, F., Capra, S., Lina, M., Brunelli, C., Tamburini, M.: A wireless health outcomes monitoring system (WHOMS): development and field testing with cancer patients using mobile phones. BMC Med. Inform Decis. Mak. 4, 7 (2004)

    Article  Google Scholar 

  25. Al-Barrak, L, Kanjo, E.: NeuroPlace: making sense of a place. In: Proceedings of the 4th Augmented Human International Conference (AH 2013), pp. 186–189. ACM, New York (2013)

    Google Scholar 

  26. Fisher, C.: Cognitive Training May Delay Onset Of Alzheimer’s Disease Symptoms Through Brain Plasticity. (2011) http://www.bmedreport.com/archives/25400

  27. Lisetti, C., Nasoz, F.: Using noninvasive wearable computers to recognize human emotions from physiological signals. J. Appl. Signal Proc. 11, 1672–1687 (2004)

    Article  Google Scholar 

  28. Face Recognition Device to Aid Early Stage Alzheimer Patients. (2011). http://www.sbir.gov/sbirsearch/detail/76119

  29. Neo Direct Keyboard. http://www.neo-direct.com/NEO2/specialneeds.aspx

  30. Portable Pen Scanner. http://portablepenscanner.2tee.net/

  31. Gromisch, E.: Assistive technology for ADHD students: Invisible Clock. (2012). http://www.brighthubeducation.com/special-ed-neurological-disorders/74108-assistive-technology-for-adhd-students/

  32. Kanjo, E., Bacon, J., Roberts, D., Landshoff, P.: MobSens: making smart phones smarter. IEEE Pervasive Comput. 8(4), 50–57 (2009)

    Article  Google Scholar 

  33. Consoly, S., McDonald, D.T., et.al.: Activity sensing in the wild: a field trial of UbiFit garden. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2008), pp. 1797–1806. ACM (2008)

    Google Scholar 

  34. HealtheTrax. (2010). http://www.dynamedsolutions.com/healthetrax.html

  35. West, D.: How mobile devices are transforming healthcare. Issues Technol. Innov. 18, 1–14 (2012)

    Google Scholar 

  36. Navarro, R., Favela, J.: Usability assessment of a pervasive system to assist caregivers in dealing with repetitive behaviors of patients with dementia. In: Proceedings of the 4th IPETRA 2011, pp. 28:1–28:8. ACM (2011)

    Google Scholar 

  37. Al-Muhanna, H., Al-Wabil, R., Al-Mazrua, H., Al-Fadhel, N., Al-Wabil, A.: An interactive multimedia system for monitoring the progressive decline of memory in alzheimer’s patients. In: Stephanidis, C. (ed.) Posters, Part II, HCII 2011. CCIS, vol. 174, pp. 381–385. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  38. Apps for Autism: Communicating on the iPad. (2012). http://www.cbsnews.com/8301-18560_162-57460553/apps-for-autism-communicating-on-the-ipad/

  39. Loh, J., Schietecat, T., Kwok, T., Lindeboom, L.: Technology applied to address difficulties of alzheimer patients and their partners. In: Proceedings of the Conference on Dutch Directions in Human Computer Interaction, no. 18 (2005)

    Google Scholar 

  40. Scanaill, C., Ahearne, B., Lyons, G.: Long term telemonitoring of mobility trends of elderly people using SMS messaging. IEEE Trans. Inf. Technol. Biomed. 10(2), 412–413 (2006)

    Article  Google Scholar 

  41. Dalton, A., Scanaill, C., Carew, S., Lyons, D., Olaighin, G.: A clinical evaluation of a remote mobility monitoring system based on SMS messaging. In: Conference Proceedings IEEE Eng Med Biol Soc, pp. 2327–2330 (2007)

    Google Scholar 

  42. Al-Ofeishat, H., Al-Rababah, M.: Near Field Communication (NFC). IJCSNS Int. J. Comput. Sci. Netw. Secur. 12, 1738–7906 (2012)

    Google Scholar 

  43. Colomer, J.M., et al.: Developing an augmentative mobile communication system. In: Proceedings of the 13th International Conference on Computers Helping People with Special Needs - Vol. Part II, pp. 269–274. Springer-Verlag, Heidelberg

    Google Scholar 

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Correspondence to Eiman Kanjo .

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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Kanjo, E. (2015). Overview of Mobile Sensing for Special Needs: Lessons Learned from I Can Workshop. In: Kanjo, E., Trossen, D. (eds) Sensor Systems and Software. S-CUBE 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 143. Springer, Cham. https://doi.org/10.1007/978-3-319-17136-4_9

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  • DOI: https://doi.org/10.1007/978-3-319-17136-4_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17135-7

  • Online ISBN: 978-3-319-17136-4

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