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Dr. John Buckley,
Reader

Information about Dr. John Buckley at the University of Bradford.

School of Engineering
(Faculty of Eng & Digital Technologies)
Email:
j.buckley@bradford.ac.uk
Telephone:
+44 1274 234641
Photo of Dr. John Buckley

Biography

John is currently a Reader in Movement Biomechanicsat the University of Bradford. John has a background in sport science andbioengineering. He joined the university in 2002 as post-doctoral researchassistant in the School of Optometry and Vision Science, where he then held tworesearch fellowships; one from the Health Foundation investigating the impactof correctable visual impairment upon balance and mobility in elderly and youngsubjects; and the other as an RCUK Academic fellow investigating Medical &Healthcare Technology. He moved to the School of Engineering in 2012.John’s interests are in developing and using motion analysis approaches to determine the movement adaptations and/or compensatory mechanismsused for locomotion by individuals with musculoskeletal abnormalities,problems or dysfunction, and/or by those with sensory impairment. John is a registered Clinical Scientist (HealthProfessions Council, UK), a member of the International Society of Biomechanicsand International Society for Posture and Gait Research, and a Fellow of TheHigher Education Academy.

Research

John's research interests are in developing andusing biomechanical modelling to determine the movement adaptations and/orcompensatory mechanisms used for locomotion by individuals withmusculo-skeletal abnormalities, problems or dysfunction, and/or by those withsensory impairment. Recent work has determined how correctable visualimpairment impacts balance and locomotion in older adults; if features toenhance sensorimotor control are necessary in order to gain full advantage ofimproved lower-limb prosthetic design; whether manipulating the appearance ofsteps and stairs will make them safer for older people to negotiate; andwhether there is a link between visual processing abilities and elite sportingperformance. Current work includes, understanding visual performance underdynamic testing conditions and its association with gait safety and fear offalling; how biomechanical outcomes from simple everyday tasks predict stairsfalls risk; and how visual computing can be used to help diagnose the movementdisorders associated with Parkinson’s disease.