Design of a Home Guide System for Dementia Using Integrated Sensor

  • S. Sajithra VarunEmail author
  • R. Nagaraj
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 39)


Kalman filtering with its amazing pattern of achieving most favourable outcome has become one of the world’s widely accessible and interesting algorithms due to its optimal estimation solution. The proposed system conceptualizes the integration of two sensors Global Positioning System and inertial navigation system and aiding patients with memory loss for proper navigation. This paper aims at enhancing the technology along with the common GPS tracker by bringing back the person with Alzheimer’s or dementia securely to the destination and also back home. GPS/INS integrated device interfaced with hearing aid navigates the patient by giving instructions through wireless communication framework. The initial phase of the paper deals with integration of the two sensors using MATLAB, which will be extended in developing the prototype device which secures the living of our loved ones. By combining GPS/INS along with medical aids, the proposed paper proves the significance of the integration of different fields in the healthcare domain.


Kalman filter Accelerometer INS Global Positioning System 


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of ECEThe Oxford College of EngineeringBangaloreIndia
  2. 2.Kalasalingam Academy of Research and EducationKrishnankoilIndia

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