Description:

 

 

There is a widening gap between available health funding and mental health needs both globally and also in New Zealand. Digital health is an opportunity for addressing this widening gap. Phones, wearables, and deep learning, can effectively detect, prevent, and manage health issues. This is also consistent with UN’s “Be He@lthy and Be Mobile”. Current digital methods of monitoring mood are often subjective.

 

AI-based modelling for the classification of wellness/mood states is a hot-topic in mental health. Funded by the New Zealand Health Research Council, we have a developed a platform called MoodAI jointly with Dr. Fred Sundram (FMHS) and Dr. Amy Chan (FMHS). MoodAI is designed to collect both active and passive data from individuals using Fitbits (heart rate, movement, sleep data) and mobile devices (speech data). This data is then used for mood state classification.

 

An initial dataset has been collected for healthy participants (n=19) and a depressed sample (n=2) with more anticipated to come onboard this year.

 

The objectives of this project will be to:

 

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• To work alongside primarily our post-doc (Luman) and other members of the team on several stages of data curation and processing
• To pre-process acquired data – analyse quality of dataset, identify gaps/missing data/completeness of data, consider methods to either exclude missing data or include the data with certain provisions
• Once the data quality considerations have been explored, to consider methods to meaningfully combine the actively and passively acquired data which are of different modalities (physiological, physical activity, sleep and speech) for further analysis
• To develop initial explainable AI models with our MoodAI dataset and related datasets (MODMA)
• To produce relevant reports/summaries of the various data curation stages and work completed
• To evaluate already developed models and propose new models

Type:

Undergraduate

Outcome:

Prerequisites

None

Specialisations

• Computer Systems Engineering

Categories

• AI & Machine learning
• Software Development Tools and Processes 1

Supervisor

• Partha Roop

Co-supervisor

Team

• David Su

Lab

No lab has been assigned to this project