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Digital Mahjong System: Towards Precise Cognitive Assessment with IoT Technologies

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HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging (HCII 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13521))

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Abstract

To the best of our knowledge, this paper is the first to apply IoT technologies to transform the popular Mahjong game into a Digital Mahjong System (DMS) for digitally performing cognitive assessments. People have started exploring digital cognitive assessment tools for better objectivity and simplification. However, most of these tools are not friendly for older adults. This paper aims to address this issue by integrating IoT technologies with Mahjong to make cognitive assessment simpler and more engaging for older adults. DMS has the following features: 1) integrating motion tracking devices into Mahjong tiles and transferring them into Digital Mahjong Tiles (DMTs), which can precisely capture their moving trajectory during the assessment, 2) using a Near Field Communication reader to configure DMT’s primary data, 3) supporting Over-The-Air Device Firmware Update that can be done remotely via Bluetooth, and 4) developing a charging base that can charge 16 DMTs simultaneously using Qi wireless charging standard. With further testing, the DMS has the potential to become a digital platform to implement and test various cognitive assessment tools integrating Mahjong elements.

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References

  1. Gauthier, S., et al.: Mild cognitive impairment. The Lancet 367(9518), 1262–1270 (2006)

    Article  Google Scholar 

  2. An, N., Ding, H., Yang, J., Au, R., Ang, T.F.: Deep ensemble learning for Alzheimer’s disease classification. J. Biomed. Inform. 105, 103411 (2020)

    Article  Google Scholar 

  3. Poptsi, E., et al.: Normative data for the montreal cognitive assessment in greek older adults with subjective cognitive decline, mild cognitive impairment and dementia. J. Geriatr. Psychiatry Neurol. 32(5), 265–274 (2019)

    Article  Google Scholar 

  4. Rodakowski, J., Saghafi, E., Butters, M.A., Skidmore, E.R.: Non-pharmacological interventions for adults with mild cognitive impairment and early stage dementia: an updated scoping review. Mol. Aspects Med. 43, 38–53 (2015)

    Article  Google Scholar 

  5. Gatterer, G., Fischer, P., Simanyi, M., Danielczyk, W.: The akt (“alterskonzentrations-test”) a new psychometric test for geriatric patients. Funct. Neurol. 4(3), 273–276 (1989)

    Google Scholar 

  6. Tuokko, H., Hadjistavropoulos, T., Miller, J., Beattie, B.: The clock test: a sensitive measure to differentiate normal elderly from those with Alzheimer disease. J. Am. Geriatr. Soc. 40(6), 579–584 (1992)

    Article  Google Scholar 

  7. Kalbe, E., et al.: Demtect: a new, sensitive cognitive screening test to support the diagnosis of mild cognitive impairment and early dementia. Int. J. Geriatr. Psychiatry 19(2), 136–143 (2004)

    Article  Google Scholar 

  8. Folstein, M.F., Folstein, S.E., McHugh, P.R.: “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J. Psychiatr. Res. 12(3), 189–198 (1975)

    Article  Google Scholar 

  9. Duley, J.F., Wilkins, J.W., Hamby, S.L., Hopkins, D.G., Burwell, R.D., Barry, N.S.: Explicit scoring criteria for the rey-osterrieth and taylor complex figures. Clin. Neuropsychol. 7(1), 29–38 (1993)

    Article  Google Scholar 

  10. Reitan, R.M.: Trail making test results for normal and brain-damaged children. Percept. Mot. Skills 33(2), 575–581 (1971)

    Article  Google Scholar 

  11. Kleinman, A., et al.: Social technology: An interdisciplinary approach to improving care for older adults. Front. Public Health 9, 729149 (2021)

    Article  Google Scholar 

  12. Lee, K., Jeong, D., Schindler, R.C., Short, E.J.: Sig-blocks: tangible game technology for automated cognitive assessment. Comput. Hum. Behav. 65, 163–175 (2016)

    Article  Google Scholar 

  13. Hafiz, P., et al.: The internet-based cognitive assessment tool: system design and feasibility study. JMIR Formative Res. 3(3), e13898 (2019)

    Article  Google Scholar 

  14. Gielis, K., et al.: Dissecting digital card games to yield digital biomarkers for the assessment of mild cognitive impairment: methodological approach and exploratory study. JMIR Serious Games 9(4), e18359 (2021)

    Article  Google Scholar 

  15. Seelye, A., et al.: Feasibility of in-home sensor monitoring to detect mild cognitive impairment in aging military veterans: prospective observational study. JMIR Formative Res. 4(6), e16371 (2020)

    Article  Google Scholar 

  16. Groppell, S., et al.: A rapid, mobile neurocognitive screening test to aid in identifying cognitive impairment and dementia (braincheck): cohort study. JMIR Aging 2(1), e12615 (2019)

    Article  Google Scholar 

  17. Hafiz, P., Bardram, J.E.: The ubiquitous cognitive assessment tool for smartwatches: design, implementation, and evaluation study. JMIR Mhealth Uhealth 8(6), e17506 (2020)

    Article  Google Scholar 

  18. Chan, J.Y., et al.: Electronic cognitive screen technology for screening older adults with dementia and mild cognitive impairment in a community setting: development and validation study. J. Med. Internet Res. 22(12), e17332 (2020)

    Article  Google Scholar 

  19. Wu, M., Lu, T.J., Ling, F.Y., Sun, J., Du, H.Y.: Research on the architecture of Internet of things. In: 2010 3rd international conference on advanced computer theory and engineering (ICACTE), vol. 5, pp. V5–484. IEEE (2010)

    Google Scholar 

  20. Atzori, L., Iera, A., Morabito, G.: The internet of things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)

    Article  Google Scholar 

  21. Prange, A., Sonntag, D.: Assessing cognitive test performance using automatic digital pen features analysis. In: Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, pp. 33–43 (2021)

    Google Scholar 

  22. Liu, Y.X., Lund, H.H., Wu, L.L.: Playful cognitive training with physical interactive tiles for elderly. In: 2018 international conference on information and communication technology robotics (ICT-ROBOT), pp. 1–4. IEEE (2018)

    Google Scholar 

  23. Yuan, J., et al.: Association between the digital clock drawing test and neuropsychological test performance: large community-based prospective cohort (framingham heart study). J. Med. Internet Res. 23(6), e27407 (2021)

    Article  Google Scholar 

  24. Heinz, A.: Mahjong: A Chinese Game and the Making of Modern American Culture. Oxford University Press (2021)

    Book  Google Scholar 

  25. Lee, Y.H., Chang, Y.C., Shelley, M., Liu, C.T.: A panel analysis of the mahjong card game and social activity with sleep-related measurements among chinese older adults. Sleep Biol. Rhythms 18(2), 109–119 (2020)

    Article  Google Scholar 

  26. Zhang, H., et al.: Playing Mahjong for 12 weeks improved executive function in elderly people with mild cognitive impairment: A study of implications for TBI-induced cognitive deficits. Front. Neurol. 11, 178 (2020)

    Article  Google Scholar 

  27. Yaakop, M.B., Abd Malik, I.A., Bin Suboh, Z., Ramli, A.F., Abu, M.A.: Bluetooth 5.0 throughput comparison for Internet of thing usability a survey. In: 2017 International Conference on Engineering Technology and Technopreneurship (ICE2T), pp. 1–6. IEEE (2017)

    Google Scholar 

  28. Au, E.: Bluetooth 5.0 and beyond [standards]. IEEE Veh. Technol. Mag. 14(2), 119–120 (2019)

    Article  Google Scholar 

  29. Ceipidor, U.B., Medaglia, C., Moroni, A., Orlandi, G., Sposato, S.: Nfc: Integration between rfid and mobile, state of the art and future developments. RFIDays (2008)

    Google Scholar 

  30. Shidujaman, M., Samani, H., Arif, M.: Wireless power transmission trends. In: 2014 International Conference on Informatics, Electronics & Vision (ICIEV), pp. 1–6. IEEE (2014)

    Google Scholar 

  31. Hui, S.: Planar wireless charging technology for portable electronic products and qi. Proc. IEEE 101(6), 1290–1301 (2013)

    Article  Google Scholar 

Download references

Acknowledgment

This work was partially supported by the Anhui Provincial Key Technologies R&D Program (2022h11020015) and the Program of Introducing Talents of Discipline to Universities (111 Program) (B14025).

Author information

Authors and Affiliations

  1. School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, China

    Ning An, Enze Hu & Jiaoyun Yang

  2. Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine, Hefei University of Technology, Hefei, China

    Ning An

  3. National Smart Eldercare International S&T Cooperation Base, Hefei University of Technology, Hefei, China

    Ning An, Enze Hu & Jiaoyun Yang

  4. Intelligent Interconnected Systems Laboratory of Anhui Province, Hefei University of Technology, Hefei, China

    Ning An & Jiaoyun Yang

  5. Shenzhen Corecloud Innovation Technology Co., Ltd., Shenzhen, China

    Yanrui Guo

  6. Key Laboratory of Knowledge Engineering with Big Data of Ministry of Education, Hefei University of Technology, Hefei, China

    Jiaoyun Yang

  7. Department of Anatomy and Neurobiology, Neurology and Framingham Heart Study, Boston University School of Medicine, Boston, USA

    Rhoda Au & Huitong Ding

  8. Department of Epidemiology, Boston University School of Public Health, Boston, USA

    Rhoda Au

Authors
  1. Ning An
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  2. Enze Hu
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  3. Yanrui Guo
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  4. Jiaoyun Yang
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  5. Rhoda Au
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  6. Huitong Ding
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Corresponding author

Correspondence to Jiaoyun Yang .

Editor information

Editors and Affiliations

  1. Purdue University West Lafayette, West Lafayette, IN, USA

    Vincent G. Duffy

  2. Tsinghua University, Beijing, China

    Qin Gao

  3. Chongqing University, Chongqing, China

    Jia Zhou

  4. Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Margherita Antona

  5. University of Crete and Foundation for Research and Technology – Hellas (FORTH), Heraklion, Crete, Greece

    Constantine Stephanidis

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An, N., Hu, E., Guo, Y., Yang, J., Au, R., Ding, H. (2022). Digital Mahjong System: Towards Precise Cognitive Assessment with IoT Technologies. In: Duffy, V.G., Gao, Q., Zhou, J., Antona, M., Stephanidis, C. (eds) HCI International 2022 – Late Breaking Papers: HCI for Health, Well-being, Universal Access and Healthy Aging. HCII 2022. Lecture Notes in Computer Science, vol 13521. Springer, Cham. https://doi.org/10.1007/978-3-031-17902-0_17

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  • DOI: https://doi.org/10.1007/978-3-031-17902-0_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-17901-3

  • Online ISBN: 978-3-031-17902-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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