Ercolano, Giovanni
Developing an Autonomous Mobile Robotic Device for Monitoring and Assisting Older People.
[Tesi di dottorato]
| Item Type: |
Tesi di dottorato
|
| Resource language: |
English |
| Title: |
Developing an Autonomous Mobile Robotic Device for Monitoring and Assisting Older People |
| Creators: |
| Creators | Email |
|---|
| Ercolano, Giovanni | giovanni.ercolano@unina.it |
|
| Number of Pages: |
142 |
| Institution: |
Università degli Studi di Napoli Federico II |
| Department: |
Ingegneria Elettrica e delle Tecnologie dell'Informazione |
| Dottorato: |
Information technology and electrical engineering |
| Ciclo di dottorato: |
33 |
| Coordinatore del Corso di dottorato: |
| nome | email |
|---|
| Riccio, Daniele | daniele.riccio@unina.it |
|
| Tutor: |
| nome | email |
|---|
| Silvia Rossi, SR | UNSPECIFIED |
|
| Number of Pages: |
142 |
| Keywords: |
social assistive robotics, human robot interaction, activity recognition |
| Settori scientifico-disciplinari del MIUR: |
Area 01 - Scienze matematiche e informatiche > INF/01 - Informatica |
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| Date Deposited: |
10 May 2021 23:46 |
| Last Modified: |
07 Jun 2023 11:09 |
| URI: |
http://www.fedoa.unina.it/id/eprint/14129 |
Collection description
A progressive increase of the elderly population in the world has required technological solutions capable of improving the life prospects of people suffering from senile dementias such as Alzheimer's. Socially Assistive Robotics (SAR) in the research field of elderly care is a solution that can ensure, through observation and monitoring of behaviors, their safety and improve their physical and cognitive health. A social robot can autonomously and tirelessly monitor a person daily by providing assistive tasks such as remembering to take medication and suggesting activities to keep the assisted active both physically and cognitively. However, many projects in this area have not considered the preferences, needs, personality, and cognitive profiles of older people. Moreover, other projects have developed specific robotic applications making it difficult to reuse and adapt them on other hardware devices and for other different functional contexts. This thesis presents the development of a scalable, modular, multi-tenant robotic application and its testing in real-world environments. This work is part of the UPA4SAR project ``User-centered Profiling and Adaptation for Socially Assistive Robotics''. The UPA4SAR project aimed to develop a low-cost robotic application for faster deployment among the elderly population. The architecture of the proposed robotic system is modular, robust, and scalable due to the development of functionality in microservices with event-based communication. To improve robot acceptance the functionalities, enjoyed through microservices, adapt the robot's behaviors based on the preferences and personality of the assisted person. A key part of the assistance is the monitoring of activities that are recognized through deep neural network models proposed in this work. The final experimentation of the project carried out in the homes of elderly volunteers was performed with complete autonomy of the robotic system. Daily care plans customized to the person's needs and preferences were executed. These included notification tasks to remember when to take medication, tasks to check if basic nutrition activities were accomplished, entertainment and companionship tasks with games, videos, music for cognitive and physical stimulation of the patient.
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