Personalized real-time anomaly detection and health feedback for older adults-Reference-Cited by-同舟云学术

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Personalized real-time anomaly detection and health feedback for older adults

Published:2019-09-12 Issue:5 Volume:11 Page:453-469
ISSN:1876-1372
Container-title:Journal of Ambient Intelligence and Smart Environments
language:
Short-container-title:AIS

Author:

Parvin Parvaneh¹,Chessa Stefano¹²,Kaptein Maurits³,Paternò Fabio⁴

Affiliation:

1. Department of Computer Science, University of Pisa, Largo bruno pontecorvo 3, 56127 Pisa, Italy. E-mail: parvaneh.parvin@di.unipi.it

2. WN Laboratory, ISTI-CNR, Via Giuseppe Moruzzi, 1, 56124 Pisa, Italy. E-mail: stefano.chessa@unipi.it

3. Jheronimus Academy of Data Science, Sint Janssingel 92, 5211 DA, ’s-Hertogenbosch, The Netherlands. E-mail: M.C.Kaptein@uvt.nl

4. HIIS Laboratory, ISTI-CNR, Via Giuseppe Moruzzi, 1, 56124 Pisa, Italy. E-mail: fabio.paterno@isti.cnr.it

Publisher

IOS Press

Subject

Software

Reference39 articles.

1. Sensor data fusion for activity monitoring in the PERSONA ambient assisted living project;Amoretti;Journal of Ambient Intelligence and Humanized Computing,2013

2. Anomaly Detection in Elderly Daily Behavior in Ambient Sensing Environments

3. Modeling and Understanding Human Routine Behavior

4. An automatic data mining method to detect abnormal human behaviour using physical activity measurements;Candás;Pervasive and Mobile Computing,2014

5. R.B. Cialdini, Influence, Vol. 3, A. Michel Port Harcourt, 1987.

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