Aznor Hanah Abdul Halim
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Preferred name
Aznor Hanah Abdul Halim
Official Name
Aznor Hanah , Abdul Halim
Alternative Name
Aznor Hanah, A. H.
Halim, Aznor Hanah Abdul
Hanah, Aznor
Main Affiliation
Scopus Author ID
57210246036
Researcher ID
CUG-6266-2022

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  • Publication
    Motion detection system for recognition of early sign of depression
    (Institute of Electrical and Electronics Engineers Inc., 2022-02-14)
    Aliza Ya'Kob N.A.
    ;
    Rohani S Mohamed Farook
    ;
    Aznor Hanah Abdul Halim
    ;
    Mohd Fairuz Muhamad Fadzil
    ;
    Mohamad Rizal Abdul Rejab
    ;
    Elias S.J.
    Depression is one of the mental health disorders that affect many humans, especially campus students. In certain cases, people with depression-prone to commit suicide without any warning signs and symptoms observed by family and friends. There is a need to be able to identify and proceed for treatment from the professionals as soon as possible. There is a lack of tools to identify students' depression behavior through quantified motion characteristics. The advancement of algorithms could be used in detecting such behaviors. This research is motivated to classify depression among students using artificial intelligence. The motion characteristics are quantified using accelerometer and GPS data and trained using neural networks to enable human activity prediction. Once predicted the prone to depression behavior notification will be sent to alert the user on their mental health condition. The user should react and respond to the alert and meet their doctors for further treatment.
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