An approach to detect smartphone addiction through activity recognition and app usage behaviour

An approach to detect smartphone addiction through activity recognition and app usage behaviour

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Bibliografische gegevens
Hoofdauteurs:	Uz Zaman, Nur, Akther, Afroza, Tabassum, Nowshin, Samrat, Md. Khaliduzzaman Khan, Khan, Swad Mustasin
Andere auteurs:	Alam, Md. Golam Rabiul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2023
Onderwerpen:	Smartphone Addiction App Usage Activity Sensor Cluster Mobile computing Human activity recognition Location-based services
Online toegang:	http://hdl.handle.net/10361/21930

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