Identifying active travel behaviors in challenging environments using GPS, accelerometers and machine learning algorithms

• Principais autores: Katherine eEllis (Autor), Suneeta eGodbole (Autor), Simon eMarshall (Autor), Gert eLanckriet (Autor), John eStaudenmayer (Autor), Jacqueline eKerr (Autor)
• Formato: Livro
• Publicado em: Frontiers Media S.A., 2014-04-01T00:00:00Z.
• Assuntos: article
• Acesso em linha: Connect to this object online.

Background: Active travel is an important area in physical activity research, but objective measurement of active travel is still difficult. Automated methods to measure travel behaviors will improve research in this area. In this paper we present a supervised machine learning method for transportat...