Publicação
SmartSpaces: aware of users, preferences, behavioursandhabits, in a non-invasive approach
| Resumo: | The aim of this work is to take advantage of emerging technologies available in the market that support the so called wearable devices, and the non-invasive particularity of these to, in an autonomous way, adapt the environment to the comfort parameters of each user (e.g. thermal, acoustic, air quality, light, sun exposure). Provide comfort according to the preferences of each individual, is a challenge and an opportunity to create innovative solutions and new paradigms in the context of Intelligent Environments. Currently this challenge has as main difficulties, the people’s mobility, the disparity of habits, schedules and the individual comfort preferences. The same is aggravated when depending on physiological conditions, derived from a large number of factors (tiredness, mood, etc.), user preferences often suffer significant changes, that current systems can not measure. |
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| Autores principais: | Oliveira, Pedro Filipe |
| Outros Autores: | Novais, Paulo; Matos, Paulo |
| Ano: | 2020 |
| País: | Portugal |
| Tipo de documento: | póster em conferência |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | The aim of this work is to take advantage of emerging technologies available in the market that support the so called wearable devices, and the non-invasive particularity of these to, in an autonomous way, adapt the environment to the comfort parameters of each user (e.g. thermal, acoustic, air quality, light, sun exposure). Provide comfort according to the preferences of each individual, is a challenge and an opportunity to create innovative solutions and new paradigms in the context of Intelligent Environments. Currently this challenge has as main difficulties, the people’s mobility, the disparity of habits, schedules and the individual comfort preferences. The same is aggravated when depending on physiological conditions, derived from a large number of factors (tiredness, mood, etc.), user preferences often suffer significant changes, that current systems can not measure. |
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