Developing and Refining a Multifunctional Facial Recognition System for
  Older Adults with Cognitive Impairments: A Journey Towards Enhanced Quality
  of Life
Li He
In an era where the global population is aging significantly, cognitive
impairments among the elderly have become a major health concern. The need for
effective assistive technologies is clear, and facial recognition systems are
emerging as promising tools to address this issue. This document discusses the
development and evaluation of a new Multifunctional Facial Recognition System
(MFRS), designed specifically to assist older adults with cognitive
impairments. The MFRS leverages face_recognition [1], a powerful open-source
library capable of extracting, identifying, and manipulating facial features.
Our system integrates the face recognition and retrieval capabilities of
face_recognition, along with additional functionalities to capture images and
record voice memos. This combination of features notably enhances the system's
usability and versatility, making it a more user-friendly and universally
applicable tool for end-users. The source code for this project can be accessed
at https://github.com/Li-8023/Multi-function-face-recognition.git.