Psychesync: Smartwatch tracking and classifying mental health for personalized wellbeing / Nurhasniza Idham Abu Hasan ... [et al.]

Abu Hasan, Nurhasniza Idham and Ganggayah, Mogana Darshini and Jamal, Nur Faezah and Abu Hasan, Nurhasnira (2024) Psychesync: Smartwatch tracking and classifying mental health for personalized wellbeing / Nurhasniza Idham Abu Hasan ... [et al.]. In: UNSPECIFIED.

Abstract

Long-term and persistent mental health problems can lead to severe mental disorders and even death in individuals. The real-time and accurate classification of individual mental health has become an effective method to prevent the occurrence of mental health disorders. In recent years, intelligent wearable devices have been widely used for monitoring mental health and have played a significant role. This study aims to devise an innovative design approach for smartwatch prototypes that can accurately classify individual mental health conditions. The aspiration is for this smartwatch to facilitate early detection, prevention, and intervention, thereby serving as a blueprint for enhancing individual mental well-being.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Abu Hasan, Nurhasniza Idham
UNSPECIFIED
Ganggayah, Mogana Darshini
UNSPECIFIED
Jamal, Nur Faezah
UNSPECIFIED
Abu Hasan, Nurhasnira
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Chief Editor
Abdul Rahman, Zarinatun Ilyani
UNSPECIFIED
Editor
Mohd Nasir, Nur Fatima Wahida
UNSPECIFIED
Editor
Kamarudin, Syaza
UNSPECIFIED
Designer
Ramlie, Mohd Khairulnizam
UNSPECIFIED
Subjects: T Technology > T Technology (General) > Technological change > Technological innovations
Divisions: Universiti Teknologi MARA, Perak > Seri Iskandar Campus > Faculty of Architecture, Planning and Surveying
Journal or Publication Title: 13th International Innovation, Invention & Design Competition (INDES 2024)
Page Range: pp. 1-4
Keywords: classify, mental health, prototype, smartwatch, tracking
Date: 2024
URI: https://ir.uitm.edu.my/id/eprint/106580
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106580

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