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Methodology for a Low-Cost Vision-Based Rehabilitation System for Stroke Patients

  • Arpita Ray SarkarEmail author
  • Goutam Sanyal
  • Somajyoti Majumder
Conference paper
Part of the Lecture Notes in Bioengineering book series (LNBE)

Abstract

Stroke is a life threatening phenomenon throughout the world caused due to the blockage (by clots) or bursting of arteries. As a result permanent or semi-permanent neurological damage may occur that requires proper rehabilitation to overcome the deficiency of communication or communication disorder of the stroke patient with the outer world. This causes delay in overall recovery and affects the general hygiene of the patient. Computer vision based interaction using gazes may be helpful for such cases. In all those methodologies as a mandatory step eye tracking has to be performed. Present work uses a low cost web camera for eye tracking using Haar feature-based cascade function in comparison with the costlier eye tracking systems available in the market. This method easily detects the eye balls from the video online with less computational load. Several experiments have been carried out to evaluate the performance in different background, lighting conditions and quality of images.

Keywords

Computer vision Object detection Face recognition Patient rehabilitation 

Notes

Acknowledgments

Authors are grateful to the Head and other faculty members of Department of CSE, NIT-Durgapur and SR Lab, CSIR—CMERI Durgapur for their continuous help and tired less support. Authors also thank Dr. D.N. Ray for his continuous suggestions and advices, without which this work would not have completed.

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Copyright information

© Springer India 2015

Authors and Affiliations

  • Arpita Ray Sarkar
    • 1
    Email author
  • Goutam Sanyal
    • 1
  • Somajyoti Majumder
    • 1
    • 2
  1. 1.Department of Computer Science and EngineeringNational Institute of TechnologyDurgapurIndia
  2. 2.Surface Robotics LabCSIR—Central Mechanical Engineering Research InstituteDurgapurIndia

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