Relating Aircraft Altitude with Pilot's Physiological Variables: Towards Increasing Safety in Light-sport Aviation

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Joaquim Gabriel (Autor) FEUP; Jorge Silva (Autor) Outra; Luis Patrão (Autor) Outra; Sara Zorro (Autor) Outra; Maria B. Silva (Autor) Outra; José F. Loureiro (Autor) Outra; Margarida Solas (Autor) Outra; Alexandra Moutinho (Autor) Outra; Susana M. Vieira (Autor) Outra

Ata de Conferência Internacional

Título: ICINCO 2017 - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics

Páginas: 359-364

14th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2017

26 July 2017 through 28 July 2017

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00N-10K

DOI: 10.5220/0006476903590364

Abstract (EN): Several applications require humans to be in high-altitude environments, whether for recreational purposes, like mountaineering or light sport aviation, or for labour, as miners. Although in these conditions the monitoring of physiological variables is, per se, of interest, the direct correlation of these variables with altitude itself is not usually explored towards the development of decision-support systems and/or critical event alarms. This paper proposes two neural networks approaches to assess and explore this correlation. One, based on dynamic SISO models, estimates physiological variables using the aircraft pressure altitude as input. A second approach uses static MISO networks to classify the flight stage (and therefore the altitude variation) from physiological variables. Both models were developed and validated using real data acquired in hypobaric chamber tests simulating a real flight. The good results obtained indicate the viability of the approach. Copyright

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6