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Mobile Networks and Applications

, Volume 20, Issue 3, pp 391–399 | Cite as

Cloud-Assisted Speech and Face Recognition Framework for Health Monitoring

  • M. Shamim Hossain
  • Ghulam Muhammad
Article

Abstract

The increasing demand for the remote monitoring of patients combined with the promising potential of cloud computing has enabled the design and development of a number of cloud-based systems and services for healthcare. The cloud computing, in combination with the popularity of smart handheld devices, has inspired healthcare professionals to remotely monitor patients’ health while the patient is at home. To this end, this paper proposes a cloud-assisted speech and face recognition framework for elderly health monitoring, where handheld devices or video cameras collect speech along with face images and deliver to the cloud server for possible analysis and classification. In the framework, a patient’s state such as pain, tensed, and so forth is recognized from his or her speech and face images. The patient state recognition system extracts local features from speech, and texture descriptors from face images. Then it classifies using support vector machines. The recognized state is later sent to the remote care center, healthcare professionals and providers for necessary services in order to provide seamless health monitoring. Experiments have been performed to validate the approach and to evaluate the suitability of this framework in terms of accuracy and time requirements. The results demonstrate the effectiveness of the proposed approach with regards to face and speech processing.

Keywords

Elderly health monitoring Face recognition Speech recognition Cloud based healthcare 

Notes

Acknowledgments

The authors extend their appreciation to the Deanship of Scientific Research at King Saud University, Riyadh, Saudi Arabia for funding this work through the research group Project No. RGP VPP-228.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  1. 1.Software Engineering Department, College of Computer and Information Sciences (CCIS)King Saud UniversityRiyadhKingdom of Saudi Arabia
  2. 2.Computer Engineering Department, College of Computer and Information Sciences (CCIS)King Saud UniversityRiyadhKingdom of Saudi Arabia

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