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A Physical Cognitive Assistant for Monitoring Hand Gestures Exercises

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Book cover Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence (IWINAC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13259))

Abstract

The use of cognitive assistants has grown significantly in recent years. The recent appearance of advanced devices for the detection and monitoring of a wide range of physical tasks has allowed a great advancement in the development of environments that facilitate the well-being of people, particularly the elderly. In this sense, this paper proposes the development of a physical cognitive assistant that allows the monitoring of hand gestures exercises for elderly people or people with some kind of hand-related disease. In addition, the cognitive assistant incorporates the detection of the patient’s emotional state during the exercise.

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Notes

  1. 1.

    https://www.intouchhealth.com.

  2. 2.

    https://www.softbankrobotics.com/emea/en/pepper.

  3. 3.

    https://elliq.com/.

  4. 4.

    http://senter.io.

  5. 5.

    https://deansmithmd.com/Hand--and-Wrist-Rehabilitation.

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Acknowledgement

This work was partially supported by MINECO/FEDER RTI2018-095390-B-C31 project of the Spanish government, and the O_HAI&#10115 project of the Croatian Science Foundation.

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Correspondence to J. A. Rincon .

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Rincon, J.A., Julian, V., Carrascosa, C. (2022). A Physical Cognitive Assistant for Monitoring Hand Gestures Exercises. In: Ferrández Vicente, J.M., Álvarez-Sánchez, J.R., de la Paz López, F., Adeli, H. (eds) Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence. IWINAC 2022. Lecture Notes in Computer Science, vol 13259. Springer, Cham. https://doi.org/10.1007/978-3-031-06527-9_2

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  • DOI: https://doi.org/10.1007/978-3-031-06527-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06526-2

  • Online ISBN: 978-3-031-06527-9

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