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Multisensor Serious Game-Based Therapy Environment for Hemiplegic Patients

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  • Md. Abdur Rahman

    (Computer Science Department, Umm Al-Qura University, Makkah 715, Saudi Arabia)

Abstract

We present an e-therapy framework that collects live therapeutic context by analyzing body joint data in a noninvasive way. Using our proposed framework, a therapist can model complex gestures by mapping them to a set of primitive gesture sequences and generate high-level serious game-based therapies. As a proof of concept, we have developed scenarios to express a hemiplegic patient's behavior into a set of trackable primitive gestures. We have used Second Life and Map browsing based serious game environment for immersive experience. The initial feedback from the therapists who have tested our developed framework is encouraging. Finally, we share the implementation details and analysis of test results.

Suggested Citation

  • Md. Abdur Rahman, 2015. "Multisensor Serious Game-Based Therapy Environment for Hemiplegic Patients," International Journal of Distributed Sensor Networks, , vol. 11(6), pages 910482-9104, June.
    • Handle: RePEc:sae:intdis:v:11:y:2015:i:6:p:910482
    DOI: 10.1155/2015/910482
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