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.

Dettagli Bibliografici
Autori principali:	Uz Zaman, Nur, Akther, Afroza, Tabassum, Nowshin, Samrat, Md. Khaliduzzaman Khan, Khan, Swad Mustasin
Altri autori:	Alam, Md. Golam Rabiul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2023
Soggetti:	Smartphone Addiction App Usage Activity Sensor Cluster Mobile computing Human activity recognition Location-based services
Accesso online:	http://hdl.handle.net/10361/21930

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