Online personal risk detection based on behavioural and physiological patterns-Reference-Cited by-同舟云学术

Online personal risk detection based on behavioural and physiological patterns

Published:2017-04 Issue: Volume:384 Page:281-297
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Barrera-Animas Ari Yair,Trejo Luis A.^ORCID,Medina-Pérez Miguel Angel^ORCID,Monroy Raúl,Camiña J. Benito,Godínez Fernando

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference44 articles.

1. Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey;Avci,2010

2. mhealthdroid: a novel framework for agile development of mobile health applications;Banos,2014

3. Context-sensitive microlearning of foreign language vocabulary on a mobile device;Beaudin,2007

4. Hype Cycle for Emerging Technologies, 2015;Burton,2015

5. Libsvm: a library for support vector machines;Chang;ACM Trans. Intell. Syst. Technol.,2011

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