Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"gait phase"”.
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Gait Phase Estimation and Foot Trajectory Prediction During Dynamic Walking Using Gated Recurrent Units
… of the two ma chine learning models predicts the gait phase as a value between 0 and 1, while the second model leverages the gait phase prediction output to predict foot position in three dimensions. The models were trained and evaluated on IMU sensor data collected from three subjects instructed …
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Gait pattern detection for amputated prosthetic using fuzzy algorithm
Conventional gait rehabilitation treatment does not provide quantitative and graphical information on abnormal gait kinematics, and the match of the intervention strategy to the underlying clinical presentation may be limited by clinical expertise and experience. Amputated patient with prosthetic …
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Actuator Optimization and Control of Pediatric Knee Exoskeleton for Community-based Mobility Assistance: More Lightweight, More Affordable, and More Stable
… namely, Long Short Term Memory (LSTM)-based gait phase detection for children with cerebral palsy (non-cyclic gaits, while the state-of-art only detect cyclic gaits).</p> <p>The experimental results on four adults and one child demonstrated that our exoskeleton has high compliance (0.30 Nm …
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A personal inertial-navigation system based on multiple distributed, nine-degrees-of-freedom, inertial measurement units
… position using body-mounted IMUs, building on a gait-phase detection algorithm and quaternion-based complementary filter developed at the Naval Postgraduate School, is developed. The performance of a consumer-grade nine-degrees-of-freedom IMU is characterized and alternative sensor placements …
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A Deep-learning based Approach for Foot Placement Prediction
… to predicting foot placement during the swing phase, and do not fully consider contextual information such as the preceding step or the stance phase before push-off. In this study, a deep learning-based foot placement prediction approach was proposed, where the deep learning models were …
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Methods toward improved lower extremity rehabilitation
… The developed statistical model captures within gait-cycle modulation, load-specific modulation, and intrinsic neural dynamics. Our proposed model accurately describes the firing statistics of 98.5% (563/573) of all the recorded units and allows characterization of the neural receptive fields …