Abstract
This work proposes an innovative Ambient Assisted Living framework for mature adults suffering from dementia. A novel Fog computing based ubiquitous recognition model is used to stimulate subjects and immediately trigger an associative recall in recognizing familiar persons and everyday objects. When a known person is sensed in the house, then a relevant audio file is played on smart speakers located in the house, so as to trigger associative recall based on the principles of music therapy. Also, the lighting effects are used to assist the subjects in identifying domestic objects accurately. Person and object recognition is achieved by using the Haar Cascade Classifier. The system was successful in the identification of 82% of the familiar people or objects so that the benefits of music therapy and lighting are realized for everyday living.
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Suryadevara, N.K., Negi, A., Rudraraju, S.R. (2020). A Smart Home Assistive Living Framework Using Fog Computing for Audio and Lighting Stimulation. In: Satapathy, S.C., Raju, K.S., Shyamala, K., Krishna, D.R., Favorskaya, M.N. (eds) Advances in Decision Sciences, Image Processing, Security and Computer Vision. ICETE 2019. Learning and Analytics in Intelligent Systems, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-030-24322-7_47
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DOI: https://doi.org/10.1007/978-3-030-24322-7_47
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