Evaluating the Acceptability of Assistive Robots for Early Detection of Mild Cognitive Impairment

@article{Luperto2019EvaluatingTA,
  title={Evaluating the Acceptability of Assistive Robots for Early Detection of Mild Cognitive Impairment},
  author={Matteo Luperto and Marta Romeo and Francesca Lunardini and Nicola Basilico and Carlo Abbate and Ray B. Jones and Angelo Cangelosi and Simona Ferrante and Nunzio Alberto Borghese},
  journal={2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  year={2019},
  pages={1257-1264}
}
The employment of Social Assistive Robots (SARs) for monitoring elderly users represents a valuable gateway for at-home assistance. Their deployment in the house of the users can provide effective opportunities for early detection of Mild Cognitive Impairment (MCI), a condition of increasing impact in our aging society, by means of digitalized cognitive tests. In this work, we present a system where a specific set of cognitive tests is selected, digitalized, and integrated with a robotic… Expand

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