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Personal profile

Research Interests

The manner in which humans interact with computers, devices, and sensors (HCI) can be utilised in e-health to measure and track characteristics of movement, voice, vision, heart rate and the like.

Such biomarkers can both detect disease and monitor aspects of the disease progression over time. My previous study into detection of early Parkinson's Disease (2017, currently awaiting publication) found that HCI can be used to diagnose the disease with high accuracy, and the results of that investigation have prompted a current follow-on study.

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Research Output 2017 2017

  • 2 Citations
  • 1 h-Index
  • 2 Article
  • 1 Patent
1 Citations

Diurnal effects on the efficiency of drip irrigation

Adams, W. R. & Zeleke, K. T., 01 Mar 2017, In : Irrigation Science. 35, 2, p. 141-157 17 p.

Research output: Contribution to journalArticle

Open Access
File
drip irrigation
microirrigation
irrigation
viticulture
crop
1 Citations

High-accuracy detection of early Parkinson’s Disease using multiple characteristics of finger movement while typing

Adams, W. R., 01 Nov 2017, In : PLoS One. 12, 11, p. 1-20 20 p., e0188226.

Research output: Contribution to journalArticle

Open Access
File
signs and symptoms (animals and humans)
Fingers
Parkinson Disease
keyboards
artificial intelligence

Press / Media

Study finds that typing speed could indicate Parkinson’s

Warwick Adams

26/09/18

1 item of media coverage

Press/Media: Press / Media

World-first for Parkinson’s

Warwick Adams

07/12/17

1 item of media coverage

Press/Media: Press / Media