Research Fellow

Dr Ami Drory

Arts,Design & Architecture
School of Art & Design

Ami Drory is a senior research fellow at the National Facility for Human-Robot Interaction Research at the University of New South Wales (UNSW) in Sydney. He is currently working on using markerless pose estimation techniques to quantify vigilance of critical mission operators with Australian Defense. He earned a PhD in Engineering and Computer Science under Richard Hartley and Hongdong Li at one of the world's leading computer vision labs at the Australian National University (ANU). Through this work he developed techniques for markerless pose and surface geometry estimation, activity recognition and tracking for biomechanics applications. Prior to joining the University of New South Wales, he was an assistant professor in the Faculty of Engineering at the University of Nottingham UK. Beforehand he held a Biomedical Engineering research fellow position at the Centre for Bionic Medicine at the Department of Physical Medicine & Rehabilitation at Northwestern University US, where he undertook research in assistive technology and using wearable sensors, computer vision and machine learning techniques to make clinical predictions and diagnostics in rehabilitation. Previously, he also held a five year biomechanist position with the Australian Institute of Sport tasked with improving the performance of Australian national athletes in preparation for the Olympics and World championships. In this role, he led research projects that include venue instrumentation, musculoskeletal testing, windtunnel testing and person-equipment interface design. Earlier, he researched the use of IMU-based sensor networks for motion capture at the University of Sydney with Professor Richard Smith. Ami currently holds the position of an associate editor of the Journal of Sport Engineering, the journal of the International Sports Engineering Association.

Publications

  • Journal articles | 2021
    Blocken B; Allen T; Drory A; Espinosa HG; Mears A, 2021, 'New initiative: "Ten Questions in Sports Engineering" papers', Sports Engineering, vol. 24, http://dx.doi.org/10.1007/s12283-021-00354-1
    Journal articles | 2020
    Allen T; Blocken B; Drory A; Espinosa HG, 2020, 'How to write a manuscript for Sports Engineering', Sports Engineering, vol. 23, http://dx.doi.org/10.1007/s12283-020-00335-w
    Journal articles | 2017
    Drory A; Li H; Hartley R, 2017, 'A learning-based markerless approach for full-body kinematics estimation in-natura from a single image', Journal of Biomechanics, vol. 55, pp. 1 - 10, http://dx.doi.org/10.1016/j.jbiomech.2017.01.028
    Journal articles | 2017
    Drory A; Zhu G; Li H; Hartley R, 2017, 'Automated detection and tracking of slalom paddlers from broadcast image sequences using cascade classifiers and discriminative correlation filters', Computer Vision and Image Understanding, vol. 159, pp. 116 - 127, http://dx.doi.org/10.1016/j.cviu.2016.12.002
    Journal articles | 2017
    Drory A; Li H; Hartley R, 2017, 'Estimating the projected frontal surface area of cyclists from images using a variational framework and statistical shape and appearance models', Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, vol. 231, pp. 169 - 183, http://dx.doi.org/10.1177/1754337117705489
    Journal articles | 2013
    Drory A; Yanagisawa M, 2013, 'Predictive mathematical model of time saved on descents in road cycling achieved through reduction in aerodynamic drag area', Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, vol. 226, pp. 152 - 160, http://dx.doi.org/10.1177/1754337112440643
  • Conference Papers | 2020
    Groh BH; Schottenhamml J; Eskofier BM; Drory A, 2020, 'Unobtrusive estimation of in-stroke boat rotation in rowing using wearable sensors', in Advances in Intelligent Systems and Computing, pp. 114 - 122, http://dx.doi.org/10.1007/978-3-030-35048-2_14
    Journal articles | 2021
    Blocken B; Allen T; Drory A; Espinosa HG; Mears A, 2021, 'New initiative: "Ten Questions in Sports Engineering" papers', Sports Engineering, vol. 24, http://dx.doi.org/10.1007/s12283-021-00354-1
    Journal articles | 2020
    Allen T; Blocken B; Drory A; Espinosa HG, 2020, 'How to write a manuscript for Sports Engineering', Sports Engineering, vol. 23, http://dx.doi.org/10.1007/s12283-020-00335-w
    Journal articles | 2017
    Drory A; Li H; Hartley R, 2017, 'Estimating the projected frontal surface area of cyclists from images using a variational framework and statistical shape and appearance models', Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, vol. 231, pp. 169 - 183, http://dx.doi.org/10.1177/1754337117705489
    Journal articles | 2017
    Drory A; Zhu G; Li H; Hartley R, 2017, 'Automated detection and tracking of slalom paddlers from broadcast image sequences using cascade classifiers and discriminative correlation filters', Computer Vision and Image Understanding, vol. 159, pp. 116 - 127, http://dx.doi.org/10.1016/j.cviu.2016.12.002
    Journal articles | 2017
    Drory A; Li H; Hartley R, 2017, 'A learning-based markerless approach for full-body kinematics estimation in-natura from a single image', Journal of Biomechanics, vol. 55, pp. 1 - 10, http://dx.doi.org/10.1016/j.jbiomech.2017.01.028
    Journal articles | 2013
    Drory A; Yanagisawa M, 2013, 'Predictive mathematical model of time saved on descents in road cycling achieved through reduction in aerodynamic drag area', Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, vol. 226, pp. 152 - 160, http://dx.doi.org/10.1177/1754337112440643

Ami's principal research interests lie in developing solutions that enable in-natura markerless motion capture for biomechanical modelling in Biomedical and Sports Engineering. Specifically, he is interested in the reconstruction of person-specific human pose, kinematics, and surface geometry to enhance our understanding of the non-linear behaviour of human motion, musculoskeletal injury and disease and enable modelling of soft-tissue dynamics. He specialises in translational applied research to develop innovative, highly accurate and tailored deployable evidence-based decision support tools for optimising sporting performance, diagnosis and treatment, improved neuromotor disorder identification using mobility degeneration classification models, and unimpeded patient monitoring of postural control, ambulatory activities and assisted living.

Biomedical Engineering

  • Development of automated diagnosis and monitoring systems for quantification of Dyskinesia in patients with Parkinson's Disease from image sequences
  • Estimation of pose and surface geometry in general movement assessment of infants with high risk of Cerebral Palsy using convolutional neural network approach
  • Development of motor function classification models for the evaluation of rehabilitation outcomes efficacy in stroke patients

Sports Engineering

  • Markerless pose estimation
  • Automated event detection
  • Surface geometry estimation of cyclists for minimisation of aerodynamic drag
  • Human-instrument interface design for kayaking
  • Activity recognition and motion tracking using convolutional neural networks
  • On-water boat instrumentation for rowing and kayaking