Simulation and Classification of Spatial Disorientation in a Flight Use-Case Using Vestibular Stimulation
نویسندگان
چکیده
A commonly used definition of spatial disorientation (SD) in aviation is “an erroneous sense one’s position and motion relative to the plane earth’s surface”. There exists a wide range SD use-cases dictated by situational factors, therefore has been predominantly studied using reduced detection experimental contexts isolation. The study use-case makes it difficult understand general occurrence thus provide viable solutions. To investigate generalized manner, two-part Human Activity Recognition (HAR) was performed. In Part I, perception dataset created whole-body methods naturalistic flight context; joystick response measured during rotational or translational vestibular stimulation. Results showed that occurred less for faster speeds than slower speeds, specific orientations axes were more detect motion. II evaluated supervised unsupervised model parameters, including: architecture, data use-case, feature-type, feature quantity, ground-truth labeling, labeling. Long-Short Term Memory (LSTM), Random Forest (RF), Transformer Encoder models most accurately predicted with mean accuracy 0.84, 0.82, 0.77 respectively. Using permutation importance (PIM), dependency score time, frequency, time & frequency feature-types quantified amount each architecture depended on feature-type. lenient label best characterized features, K-medoids clustering velocity features replicated labels.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3210526