Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones

Open Access

Peer-reviewed

Research Article

Carlos Medrano ,

* E-mail: ctmedra@unizar.es

Affiliations Computer Vision Lab, Aragon Institute for Engineering Research, Zaragoza, Spain, EduQTech Group, Escuela Universitaria Politecnica, University of Zaragoza, Teruel, Spain
⨯
Raul Igual,

Affiliation EduQTech Group, Escuela Universitaria Politecnica, University of Zaragoza, Teruel, Spain
⨯
Inmaculada Plaza,

Affiliation EduQTech Group, Escuela Universitaria Politecnica, University of Zaragoza, Teruel, Spain
⨯
Manuel Castro

Affiliation Electrical and Computer Engineering Department (DIEEC), Spanish University for Distance Education (UNED), Madrid, Spain
⨯

Reader Comments (2)

Cell phones
Is the Subject Area "Cell phones" applicable to this article?

Thanks for your feedback.
Activities of daily living
Is the Subject Area "Activities of daily living" applicable to this article?

Thanks for your feedback.
Support vector machines
Is the Subject Area "Support vector machines" applicable to this article?

Thanks for your feedback.
Accelerometers
Is the Subject Area "Accelerometers" applicable to this article?

Thanks for your feedback.
Elderly
Is the Subject Area "Elderly" applicable to this article?

Thanks for your feedback.
Machine learning algorithms
Is the Subject Area "Machine learning algorithms" applicable to this article?

Thanks for your feedback.
Algorithms
Is the Subject Area "Algorithms" applicable to this article?

Thanks for your feedback.
Machine learning
Is the Subject Area "Machine learning" applicable to this article?

Thanks for your feedback.