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A Grip Force Training and Testing Device for Old People

  • Ze BianEmail author
  • Shijian Luo
  • Yufei Zhang
  • Ping Shan
  • Hebo Gong
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 957)

Abstract

Grip force is an important physiological index to reflect people’s healthy status. In this article, we tried to design a grip strength training and testing device for elderly. Through competitive analysis, we found that products in market are not able to record data, show grip force trend, draw users’ attention nor socialize with others. We established old people’s persona and investigated their needs, determined product orientation and main functions. Besides, by portraying their daily activity scenes, we found out several service design touchpoint and discussed solutions according to the touchpoint. The devices were eventually used in three communities and get over 100 people’s data. We have obtained improvement advice to the equipment, and communities has also increased the fitness activities of residents and the monitoring of the health of the elderly.

Keywords

Grip force Gamification Design for old people Service design touchpoint 

Notes

Acknowledgements

This research was supported by the National Natural Science Foundation of China (No. 51675476 and No. 51775458).

References

  1. 1.
    Cooper, R., Kuh, D., Hardy, R.: Objectively measured physical capability levels and mortality: systematic review and meta-analysis. BMJ 34, c4467 (2010)CrossRefGoogle Scholar
  2. 2.
    Kodama, S., Saito, K., Tanaka, S., et al.: Cardiorespiratory fitness as a quantitative predictor of all-cause mortality and cardiovascular events in healthy men and women: a meta-analysis. JAMA 301(19), 2024–2035 (2009)CrossRefGoogle Scholar
  3. 3.
    Ortega, F.B., Silventoinen, K., Tynelius, P., et al.: Muscular strength in male adolescents and premature death: cohort study of one million participants. BMJ 345, e7279 (2012)CrossRefGoogle Scholar
  4. 4.
    Blampain, J., Ott, L., Delevoye-Turrell, Y.N.: Seeing action simulation as it unfolds: the implicit effects of action scenes on muscle contraction evidenced through the use of a grip-force sensor. Neuropsychologia 114, 231–242 (2018)CrossRefGoogle Scholar
  5. 5.
    Luo, S.J., Shu, G., Gong, Y.: Real time relationship between individual finger force and grip exertion on distal phalanges in linear force following tasks. Appl. Ergon. 69, 25–31 (2018)CrossRefGoogle Scholar
  6. 6.
    Chkeir, A., Jaber, R., Hewson, D.J., Duchene, J.: Estimation of grip force using the Grip-ball dynamometer. Med. Eng. Phys. 35(11), 1698–1702 (2013)CrossRefGoogle Scholar
  7. 7.
    Rapp, A., Hopfgartner, F., Hamari, J., Linehan, C., Cena, F.: Strengthening gamification studies: current trends and future opportunities of gamification research. Int. J. Hum. Comput. Stud. (2018)Google Scholar
  8. 8.
    van Roy, R., Zaman, B.: Need-supporting gamification in education: an assessment of motivational effects over time. Comput. Educ. 127, 283–297 (2018)CrossRefGoogle Scholar
  9. 9.
    Johnson, D., Deterding, S., Kuhn, K.A., Staneva, A., Stoyanov, S., Hides, L.: Gamification for health and wellbeing: A systematic review of the literature. Internet Interv. 6, 89–106 (2016)CrossRefGoogle Scholar
  10. 10.
    Garcia, F., Pedreira, O., Piattini, M., Cerdeira-Pena, A., Penabad, M.: A framework for gamification in software engineering. J. Syst. Softw. 132, 21–40 (2017)CrossRefGoogle Scholar
  11. 11.
    Mitchell, R.: J. Bus. Res.  https://doi.org/10.1016/j.jbusres.2018.11.022
  12. 12.
    McGonigal, J.: Reality Is Broken: Why Games Make Us Better and How They Can Change the World. Penguin, New York (2011)Google Scholar
  13. 13.
    Cunha, A., Cunha, E., Peres, E., Trigueiros, P.: Helping older people: is there an app for that? Procedia Comput. Sci. 100, 118–127 (2016)CrossRefGoogle Scholar
  14. 14.
    Lin, C.H., Sung, W.H., Chiang, S.L., Lu, L.H., Wang, P.C., Wang, X.M.: Influence of aging and visual feedback on the stability of hand grip control in elderly adults. Exp. Gerontol. 119, 74–81 (2019)CrossRefGoogle Scholar
  15. 15.
    Laatar, R., Kachouri, H., Borji, R., Rebai, H., Sahli, S.: The effect of cell phone use on postural balance and mobility in older compared to young adults. Physiol. Behav. 173, 293–297 (2017)CrossRefGoogle Scholar
  16. 16.
    Righi, V., Sayago, S., Blat, J.: When we talk about older people in HCI, who are we talking about? Towards a ‘turn to community’ in the design of technologies for a growing ageing population. Int. J. Hum. Comput. Stud. 108, 15–31 (2017)CrossRefGoogle Scholar
  17. 17.
    Wagner, G., Schramm-Klein, H., Steinmann, S.: Online retailing across e-channels and e-channel touchpoints: empirical studies of consumer behavior in the multichannel e-commerce environment. J. Bus. Res. (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Ze Bian
    • 1
    Email author
  • Shijian Luo
    • 1
  • Yufei Zhang
    • 1
  • Ping Shan
    • 1
  • Hebo Gong
    • 1
  1. 1.Industrial Design Department, College of Computer Science and TechnologyZhejiang UniversityHangzhouChina

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