A facial recognition application for elderly care : Caregiver verification and identification

University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS); KTH/Skolan för elektroteknik och datavetenskap (EECS)

Abstract: Interest in facial recognition has increased rapidly during the past decade. Increased computational power and huge amounts of available data have made facial recognition both possible and useful. Bio-metrical identification is one of the common applications for facial recognition.The population in Sweden is aging. Moreover, many people remain living on their own until old age. This introduces new challenges to society. How do we maintain the autonomy of elderly, and support their well-being despite of the challenges introduced by aging?This thesis presents a study of the potential of facial recognition in elderly care. In the thesis work a need for facial recognition system in elderly care is identified, a system architecture to meet the need is presented, the implementation process of such system’s prototype is described, and the feasibility of the prototype is evaluated.One of the results of the study indicates that there is a need in elderly care to help seniors to verify and identify caregivers who visit them. The study shows that a facial recognition system which presents information about the visiting caregiver to the elderly would support them in their daily life. The user interface of the developed prototype is feasible, but as it is now, the facial recognition part of the program is not accurate enough to be used in a real life context. Ways of improving the facial recognition functionality of such a system should be studied in future research.

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