Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies Proceedings of a Workshop (2019) / Chapter Skim
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2 Plenary Session
2 Plenary Session
Pages 3-6
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From page 3... ...
Rama Chellappa, University of Maryland, College Park, and George Coyle, National Academies of Sciences, Engineering, and Medicine, noted that, to help guide the IC's future technology investments, workshop speakers would identify both near- and long-term enabling technology capabilities (see Appendix D)
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There is a high rate of failure in subjects undergoing spinal fusion, and this project aimed to shed light on when the surgery would not work based on biomechanical changes. Her team sought to identify kinematic, dynamic, and muscular changes pre- and post-spinal fusion surgery, as well as effects on balance and standing strategies.
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Bajcsy's team observed substantial deformation under changes in muscle load and kinematic configuration and is currently employing statistical shape analysis to extract low-dimensional deformation models. Bajcsy commented that model-based approaches for human modeling research are useful because interpretability is critical for medical and human-interfacing applications, many of which are safety-critical and in need of guarantees.
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From page 6... ...
Although it takes time to get approval from the Food and Drug Administration, she and her team have been fairly successful in transferring technology. Devices for estimating kinematics can be bought off the shelf (e.g., motion capture systems)
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