Smartphone-based Transport Mode Detection for Elderly Care

Cardoso, Nuno; Madureira, João; Pereira, Nuno

http://hdl.handle.net/10400.22/10069

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Autores

Cardoso, Nuno

Madureira, João

Pereira, Nuno

Resumo(s)

Smartphones are everywhere, and they are a very attractive platform to perform unobtrusive monitoring of users. In this work, we use common features of modern smartphones to build a human activity recognition (HAR) system for elderly care. We have built a classifier that detects the transport mode of the user including whether an individual is inactive, walking, in bus, in car, in train or in metro. We evaluated our approach using over 24 hours of transportation data from a group of 15 individuals. Our tests show that our classifier can detect the transportation mode with over 90% accuracy.

Palavras-chave

Inertial Sensors Accelerometer Classification Algorithms Transport Detection Smartphones

URI

http://hdl.handle.net/10400.22/10069

Editora

Institute of Electrical and Electronics Engineers

DOI

10.1109/HealthCom.2016.7749465

Coleções

ISEP – CISTER – Artigos

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