Description
Machine Vision and Digital Health (MaViDH) Research is one of the priority research areas according to the Charles Sturt Research Narrative. It brings modern innovations and technological developments to health, agriculture, and machine vision practices.Due to geographical distance from capital cities a major portion of regional people cannot access high quality health services, like those in major cities. One of the aims of the MaViDH research group is to tackle issues related to Digital health research for remote people through analysis of causal factors, development of remote health management system, and the collection and analysis of health-related data.
The modern IT technologies with sophisticated sensors can make sure high productivity in the agriculture sectors. The other aim of the MaViDH research group is to tackle issues related to agricultural research for farmers, policy maker and other stakeholders through big data analytics, drone/hyperspectral/ remote sensing data collection and analysis of yield data.
Artificial intelligence, image and video processing, deep machine learning, and machine vision are the main theoretical and applied research areas of the MaViDH research group. Our technological innovations are supported by the competitive project grants (e.g. ARC, CRC), PhD supervisions, and industry collaborations.
The MaViDH research group works in collaboration with professionals, farmers, local bodies, academics, and government agencies to conduct research across the research themes related to health, agriculture, and other areas.
A Computer Vision lab with modern equipment is associated with the MaViDH research group. The lab has high performance computing servers, GPU, eye tracker, EEG capture machine, hyperspectral camera, 3D video camera, 360-degree video camera, CCTV cameras and conferencing facility. The detail information is available here https://csusap.csu.edu.au/~rpaul/cvl/.
This multidisciplinary research group comprises researchers with expertise in AI, computer vision, image processing, data compression and transmission, health informatics, general medicine, cardiology, deep learning, psychology, health management, information systems, data communication, etc.
The main aim of the research group is to coordinate the activities so that we can achieve following goals.
Goals:
Knowledge creation
Build agriculture, health and other relevant technologies
Generate health awareness
Train researchers
Engage industry and External Research groups
Research Areas:
Digital Health
Remote health services/monitoring
Epilepsy and EEG signal processingBlood Pressure Monitor
Workplace health
Ageing and mental health
Medical Imaging
Agriculture
Vine nutrition and smart wine
Wine technology
Hyperspectral imaging
Soil assessment and vegetation pattern
Drone technology
Machine Vision
Video coding
Image processing
Eye tracking
Human-Computer interaction
Sensing and activity recognition
Funding bodies:
Australian Government
Australian Research Council (ARC) Discovery Project
Soil CRC
Wine Australia
NSW Government
NSW Department of Primary Industries (DPI)
Australia-China partnership project
CSU-Royal Far West partnership project
Devro Ptd Ltd
Australian Commonwealth Department of Health and Aging
Australian Capital Territory – Land Development Agency
Centre for Work Health and Safety, NSW Government
Commonwealth Department of Health and Aging
Australian Capital Territory – Land Development Agency
Centre for Work Health and Safety, NSW Government
| Period | 2015 → … |
|---|---|
| Held at | Machine Vision and Digital Health (MaViDH) Research Group |
| Degree of Recognition | National |