Managing Disorientation of Time and Place in Dementia Patients Using Bluetooth Sensors | [Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences • 2018]

Author(s):

1. Sarwat Iqbal: Department of Computer Science, Federal Urdu University of Arts,Science and Technology Islamabad, Pakistan

2. Kamran Ahsan: Department of Computer Science, Federal Urdu University of Arts,Science and Technology Islamabad, Pakistan

3. Muhammad Azhar Hussain: Department of Computer Science, Federal Urdu University of Arts,Science and Technology Islamabad, Pakistan

4. Adnan Nadeem: Department of Computer Science, Federal Urdu University of Arts,Science and Technology Islamabad, Pakistan; Faculty of Computer and information System, Islamic University of Madinah KSA,

5. Muhammd Saeed: Department of Computer Science - UBIT, University of Karachi, Pakistan

6. Sohaib Ahmed: Department of Software Engineering, Bahria University Karachi Campus, Pakistan

Abstract:

Assistive technology has the potential to support persons with dementia (PWDs) in their daily life activities and provide them quality of life services. This paper proposes a novel mechanism in order to manage disorientation or time and place problem of PWD through the use of Bluetooth low energy devices, smart watch and smart phone/ tablet. The proposed mechanism was verified in a real environment having the facilities an ordinary PWD avail in his home environment and also in lab environment. All of the participants were volunteers from research group personal contacts. Volunteers spend time in the environment and results were generated. Experimental result showed that the proposed mechanism provided an accurate real time ubiquitous monitoring of PWD. Successful detection of PWD presence in real time and notification to caregiver observed in all cases.

Page(s): 41-53

DOI: DOI not available

Published: Journal: Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, Volume: 55, Issue: 2, Year: 2018

Keywords:

Mobile Technology , Dementia , real time monitoring through wearable , low energy sensors

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