Utilize este identificador para referenciar este registo:
https://hdl.handle.net/10316/100009
Título: | A Survey of Approaches to Unobtrusive Sensing of Humans | Autor: | Fernandes, José Marcelo Silva, Jorge Sá Rodrigues, André Boavida, Fernando |
Palavras-chave: | data processing; HiTL; IoT; signal processing; Unobtrusive sensing | Data: | Jan-2022 | Editora: | ACM | Projeto: | SFRH/BD/147371/2019 UID/CEC/00326/2020 |
Título da revista, periódico, livro ou evento: | ACM Computing Surveys | Volume: | 55 | Número: | 2 | Resumo: | The increasing amount of human-related and/or human-originated data in current systems is both an opportunity and a challenge. Nevertheless, despite relying on the processing of large amounts of data, most of the so-called smart systems that we have nowadays merely consider humans as sources of data, not as system beneficiaries or even active "components."For truly smart systems, we need to create systems that are able to understand human actions and emotions, and take them into account when deciding on the system behavior. Naturally, in order to achieve this, we first have to empower systems with human sensing capabilities, possibly in ways that are as inconspicuous as possible. In this context, in this article we survey existing approaches to unobtrusive monitorization of human beings, namely, of their activity, vital signs, and emotional states. After setting a taxonomy for human sensing, we proceed to present and analyze existing solutions for unobtrusive sensing. Subsequently, we identify and discuss open issues and challenges in this area. Although there are surveys that address some of the concerned fields of research, such as healthcare, human monitorization, or even the use-specific techniques like channel state information or image recognition, as far as we know this is the first comprehensive survey on unobtrusive sensing of human beings. © 2022 Association for Computing Machinery. | URI: | https://hdl.handle.net/10316/100009 | ISSN: | 0360-0300 1557-7341 |
DOI: | 10.1145/3491208 | Direitos: | openAccess |
Aparece nas coleções: | I&D CISUC - Artigos em Revistas Internacionais I&D INESCC - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
3491208.pdf | 2.58 MB | Adobe PDF | Ver/Abrir |
Citações SCOPUSTM
8
Visto em 14/out/2024
Citações WEB OF SCIENCETM
9
Visto em 2/out/2024
Visualizações de página
150
Visto em 15/out/2024
Downloads
141
Visto em 15/out/2024
Google ScholarTM
Verificar
Altmetric
Altmetric
Este registo está protegido por Licença Creative Commons