Analysis of Accelerometer Data for Personalised Mood Detection in Activities of Daily Living-Reference-Cited by-同舟云学术

Analysis of Accelerometer Data for Personalised Mood Detection in Activities of Daily Living

Published:2023-03-13 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
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Author:

Altamirano-Flores Yulith V.¹,Konios Alexandros²,Lopez-Nava Irvin Hussein¹,Garcia-Constantino Matias³,Ekerete Idongesit³,Mustafa Mustafa A.⁴

Affiliation:

1. CICESE (Centro de Investigacion Cientifica y de Educacion) Superior de Ensenada),Ensenada,Mexico

2. Nottingham Trent University,Department of Computer Science,Nottingham,United Kingdom

3. School of Computing, Ulster University,Belfast,United Kingdom

4. The University of Manchester,Department of Computer Science,Manchester,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10149845/10150216/10150223.pdf?arnumber=10150223

Reference28 articles.

1. Comparison of Older and Younger Adults’ Attitudes Toward the Adoption and Use of Activity Trackers

2. An intelligent well-being monitoring system for residents in extra care homes

3. Non-intrusive human activity recognition and abnormal behavior detection on elderly people: a review

4. Prob-abilistic Analysis of Temporal and Sequential Aspects of Activities of Daily Living for Abnormal Behaviour Detection;konios;The 16th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC2019),2019

5. Recognition of human affection in Smartphone perspective based on accelerometer and user's sitting position

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