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A Computer Vision-Based System for a Tangram Game in a Social Robot

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1239))

Abstract

Social Robotics is currently gaining ground as it allows robots to have an emphatic behaviour toward humans which facilitates the creation of emotional bonds with them. In this context, robots are starting to support caregivers in stimulation exercises, such as cognitive stimulation therapy, for elderly people. This work focuses on endowing the social robot Mini with perception capabilities to detect a classic game, the Tangram. Besides, the robot is able to follow the game mechanics and, using its interaction capabilities, leads the game and encourage users to complete the game.

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Notes

  1. 1.

    https://github.com/machukas/openCV/blob/master/P3/camera_calibration.

  2. 2.

    https://youtu.be/WpmEjTMO3Hk.

  3. 3.

    Supplementary materials are available here: https://bit.ly/2Sk5R4q.

References

  1. Bejan, A., Gündogdu, R., Butz, K., Müller, N., Kunze, C., König, P.: Using multimedia information and communication technology (ICT) to provide added value to reminiscence therapy for people with dementia. Zeitschrift für Gerontologie und Geriatrie 51(1), 9–15 (2018)

    Article  Google Scholar 

  2. Bejan, A., Wieland, M., Murko, P., Kunze, C.: A Virtual Environment Gesture Interaction System for People with Dementia. In Proceedings of the 2018 ACM Conference Companion Publication on Designing Interactive Systems, pp. 225–230, May 2018

    Google Scholar 

  3. Moeslund, T.: Canny Edge Detection, 23 March 2009. Accessed 3 Dec 2014

    Google Scholar 

  4. C-ASWCM Kathleen Allen, LCSW. Current technology for dementia and alzheimer’s disease (2017). https://www.brightfocus.org/alzheimers/article/current-technology-dementia-and-alzheimers-disease. Accessed 04 Feb 2020

  5. Duan, Y., Lu, L., Chen, J., Wu, C., Liang, J., Zheng, Y., Wu, J., Rong, P., Tang, C.: Psychosocial interventions for Alzheimer’s disease cognitive symptoms: a Bayesian network meta-analysis. BMC Geriatrics 18(1), 175 (2018)

    Article  Google Scholar 

  6. Eisapour, M., Cao, S., Domenicucci, L., Boger, J.: Virtual reality exergames for people living with dementia based on exercise therapy best practices. In: Proceeding of the Human Factors and Ergonomics Society Annual Meeting, vol. 62, No. 1, pp. 528–532. SAGE Publications, Los Angeles, September 2018

    Google Scholar 

  7. Frutos-Pascual, M., García-Zapirain, B., & Méndez-Zorrilla, A.: Improvement in cognitive therapies aimed at the elderly using a mixed-reality tool based on tangram game. In Computer Applications for Graphics, Grid Computing, and Industrial Environment, pp. 68–75. Springer, Heidelberg (2012)

    Google Scholar 

  8. Koh, I.S., Kang, H.S.: Effects of intervention using PARO on the cognition, emotion, problem behavior, and social interaction of elderly people with dementia. J Korean Acad. Commun. Health Nur. 29(3), 300–309 (2018)

    Article  Google Scholar 

  9. Melkas, H., Hennala, L., Pekkarinen, S., Kyrki, V.: Human impact assessment of robot implementation in Finnish elderly care. In: International Conference on Serviceology, pp. 202–206, September 2016

    Google Scholar 

  10. Patomella, A.H., Lovarini, M., Lindqvist, E., Kottorp, A., Nygård, L.: Technology use to improve everyday occupations in older persons with mild dementia or mild cognitive impairment: a scoping review. Br. J. Occupat. Therapy 81(10), 555–565 (2018)

    Article  Google Scholar 

  11. Petersen, S.W.: Robots for cognitive rehabilitation and symptom management. In: Rehabilitation Robotics, pp. 267–275. Academic Press (2018)

    Google Scholar 

  12. Schrum, M., Park, C.H., Howard, A.: Humanoid therapy robot for encouraging exercise in dementia patients. In: 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 564–565. IEEE, March 2019

    Google Scholar 

  13. Sipollo, B.V., Jullamate, P., Piphatvanitcha, N., Rosenberg, E.: Effect of a cognitive stimulation therapy program on cognitive ability of demented older adults. Bangkok Med. J. 15(1) (2019)

    Google Scholar 

  14. Tapus, A., Tapus, C., Mataric, M.J.: The use of socially assistive robots in the design of intelligent cognitive therapies for people with dementia. In: 2009 IEEE International Conference on Rehabilitation Robotics, pp. 924–929. IEEE (2009)

    Google Scholar 

  15. Vahia, I.V., Kamat, R., Vang, C., Posada, C., Ross, L., Oreck, S., Bhatt, A., Depp, C., Jeste, D.V., Sewell, D.D.: Use of tablet devices in the management of agitation among inpatients with dementia: an open-label study. Am. J. Geriat. Psych. 25(8), 860–864 (2017)

    Article  Google Scholar 

  16. Zheng, J., Chen, X., Yu, P.: Game-based interventions and their impact on dementia: a narrative review. Australas. Psychiatry 25(6), 562–565 (2017)

    Article  Google Scholar 

  17. Yadav, G., Maheshwari, S., Agarwal, A.: Contrast limited adaptive histogram equalization based enhancement for real time video system. In: 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI), New Delhi, 2014, pp. 2392–2397 (2014)

    Google Scholar 

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Acknowledgements

The research leading to these results received funding from the projects: “Robots Sociales para Estimulación Física, Cognitiva y Afectiva de Mayores (ROSES)”, funded by the Spanish “Ministerio de Ciencia, Innovación y Universidades”; “Desarrollo de técnicas de VISión por computador para el alineamiento de HELIOstatos (VISHELIO)” funded by “Universidad Carlos III de Madrid”; and from RoboCity2030-DIH-CM, Madrid Robotics Digital Innovation Hub, S2018/NMT-4331, funded by “Programas de Actividades I+D en la Comunidad de Madrid” and cofunded by Structural Funds of the EU.

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Correspondence to Jose C. Castillo .

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Menendez, C., Marques-Villarroya, S., Castillo, J.C., Gamboa-Montero, J.J., Salichs, M.A. (2021). A Computer Vision-Based System for a Tangram Game in a Social Robot. In: Novais, P., Vercelli, G., Larriba-Pey, J.L., Herrera, F., Chamoso, P. (eds) Ambient Intelligence – Software and Applications . ISAmI 2020. Advances in Intelligent Systems and Computing, vol 1239. Springer, Cham. https://doi.org/10.1007/978-3-030-58356-9_7

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