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A Gesture-Based Smart Home-Oriented Health Monitoring Service for People with Physical Impairments

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Inclusive Smart Cities and Digital Health (ICOST 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9677))

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Abstract

Smart home shows great potential in providing ubiquitous services within one’s home environment. With the advent of gesture recognition hardware and frameworks, it is now envisioned that most of the household activities that are used on a daily basis, can now be operated using gestures. This will allow people with special to use their natural gestures to interact with different interfaces, whether it be appliances or accessing Internet-based healthcare services. In this article, we present a gesture based natural user interface framework, which supports a set of smart home services through gestures. In order to get feedback from the user interaction, a reverse feedback mechanism is implemented, which keeps track of how many gestures are working correctly. We have developed a mathematical model to represent proposed framework. From the user feedback and analysis of the gathered system testing data, we are optimistic about the deployment of the proposed framework in real life scenarios.

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References

  1. Ding, I.-J., Chang, C.-W.: An eigenspace-based method with a user adaptation scheme for human gesture recognition by using Kinect 3D data. Appl. Math. Model. 39(19), 5769–5777 (2015)

    Article  Google Scholar 

  2. Suryanarayan, P., Subramanian, A., Mandalapu, D.: Dynamic hand pose recognition using depth data. In: Proceedings of ICPR, pp. 3105–3108 (2010)

    Google Scholar 

  3. Wachs, J.P., Kölsch, M., Stern, H., Edan, Y.: Vision-based hand-gesture applications. Commun. ACM 54(2), 60–71 (2011)

    Article  Google Scholar 

  4. Qamar, A.M., et al.: A multi-sensory gesture-based occupational therapy environment for controlling home appliances. In: Proceedings of the ACM ICMR 2015, Shanghai, China (2015)

    Google Scholar 

  5. Rahman, M.A.: i-Therapy: a non-invasive multimedia authoring framework for context-aware therapy design. Multimed. Tools Appl. 75(4), 1843–1867 (2016)

    Article  Google Scholar 

  6. Alankus, G., Kelleher, C.: Reducing compensatory motions in motion-based video games for stroke rehabilitation. Hum.-Comput. Interact. 30(3–4), 232–262 (2015)

    Article  Google Scholar 

  7. Gips, J., Betke, M., DiMattia, P.A.: Early experiences using visual tracking for computer access by people with profound physical disabilities. In: Stephanidis, C. (ed.) Proceedings of the 1st International Conference on Universal Access in HCI (UA-HCI): Towards an Information Society for All, pp. 914–918. Lawrence Erlbaum Associates, Mahwah (2001)

    Google Scholar 

  8. Rahman, M.A., Hossain, M.S., El Saddik, A.: Context-aware multimedia services modeling: an e-Health perspective. Multimed. Tools Appl. 73(3), 1147–1176 (2014)

    Article  Google Scholar 

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Acknowledgement

This project was supported by the NSTIP strategic technologies program (11-INF1703-10) in the Kingdom of Saudi Arabia.

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Correspondence to Md. Abdur Rahman .

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© 2016 Springer International Publishing Switzerland

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Rahman, M.A., Hossain, M.S. (2016). A Gesture-Based Smart Home-Oriented Health Monitoring Service for People with Physical Impairments. In: Chang, C., Chiari, L., Cao, Y., Jin, H., Mokhtari, M., Aloulou, H. (eds) Inclusive Smart Cities and Digital Health. ICOST 2016. Lecture Notes in Computer Science(), vol 9677. Springer, Cham. https://doi.org/10.1007/978-3-319-39601-9_42

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  • DOI: https://doi.org/10.1007/978-3-319-39601-9_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39600-2

  • Online ISBN: 978-3-319-39601-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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