TY - GEN
T1 - Elderly, Their Emotions and Deep Learning Techniques to Help Their Dignified and Positive Aging
AU - Bastidas, Sixto Enrique Campaña
AU - Porras, Abel Méndez
AU - Gómez, Ana Perandrés
AU - García, Irene Moral
AU - González, Lucia
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - All people in the world age, it is part of the life cycle, the important thing is to understand that it can be done in a dignified and positive way, as proposed by the Ageing Lab Foundation in its EDP model, therefore in the era of the fourth revolution Industrial (4RI), it is essential to have tools that allow us to understand how well older people are at this stage of life, to know if their emotions represent an affable state, or on the contrary indicate symptoms that something is not right. Due to the foregoing, this document presents a first approach to the technologies that have been applied to detect emotions in older people and the way in which tools such as Deep Learning of Artificial Intelligence can help in the process, in order to propose the development of an application that helps in the detection of emotions, but based on an evaluation of some existing algorithms and manual analysis processes, the initial result is a state of the art of technologies applied to the recognition of emotions, mainly in older people, as well such as the evaluation of some algorithms developed and programmed in the Python language and applied to some videos for free use on the Internet, which set the tone and path for the proposal that is being improved in the work with the Fundación Ageing Lab of Spain, the TEC of Costa Rica and the UNAD of Colombia.
AB - All people in the world age, it is part of the life cycle, the important thing is to understand that it can be done in a dignified and positive way, as proposed by the Ageing Lab Foundation in its EDP model, therefore in the era of the fourth revolution Industrial (4RI), it is essential to have tools that allow us to understand how well older people are at this stage of life, to know if their emotions represent an affable state, or on the contrary indicate symptoms that something is not right. Due to the foregoing, this document presents a first approach to the technologies that have been applied to detect emotions in older people and the way in which tools such as Deep Learning of Artificial Intelligence can help in the process, in order to propose the development of an application that helps in the detection of emotions, but based on an evaluation of some existing algorithms and manual analysis processes, the initial result is a state of the art of technologies applied to the recognition of emotions, mainly in older people, as well such as the evaluation of some algorithms developed and programmed in the Python language and applied to some videos for free use on the Internet, which set the tone and path for the proposal that is being improved in the work with the Fundación Ageing Lab of Spain, the TEC of Costa Rica and the UNAD of Colombia.
KW - Artificial intelligence
KW - Deep learning
KW - Dignified and positive aging
KW - Emotions
KW - Internet of things
UR - http://www.scopus.com/inward/record.url?scp=85145067820&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-21333-5_22
DO - 10.1007/978-3-031-21333-5_22
M3 - Contribución a la conferencia
AN - SCOPUS:85145067820
SN - 9783031213328
T3 - Lecture Notes in Networks and Systems
SP - 221
EP - 233
BT - Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2022
A2 - Bravo, José
A2 - Ochoa, Sergio
A2 - Favela, Jesús
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2022
Y2 - 29 November 2022 through 2 December 2022
ER -