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Predictive Modeling of Human Behavior During Exoskeleton Assisted Walking- [electronic resource]
Contents Info
Predictive Modeling of Human Behavior During Exoskeleton Assisted Walking- [electronic resource]
자료유형  
 학위논문
Control Number  
0016935396
International Standard Book Number  
9798380724081
Dewey Decimal Classification Number  
617
Main Entry-Personal Name  
Rodman, Claire.
Publication, Distribution, etc. (Imprint  
[S.l.] : The Pennsylvania State University., 2023
Publication, Distribution, etc. (Imprint  
Ann Arbor : ProQuest Dissertations & Theses, 2023
Physical Description  
1 online resource(192 p.)
General Note  
Source: Dissertations Abstracts International, Volume: 85-05, Section: B.
General Note  
Advisor: Martin, Anne E.
Dissertation Note  
Thesis (Ph.D.)--The Pennsylvania State University, 2023.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Summary, Etc.  
요약Bipedal locomotion in humans is a complex behavior, requiring impressive coordination of the neuromuscular system. There are many hypothesized motor control objectives describing how humans might optimally govern these coordinated efforts, including minimization of energetic expenditure. However, evidence suggests that the underlying objectives are more complicated than pure energy minimization. Further, these objectives have not been thoroughly investigated during more complicated walking tasks. The mechanics of speed-varying walking and exoskeleton assisted walking, for example, are not fully understood, which makes testing different possible walking objectives difficult. This work explored the physical behavior and underlying objectives of exoskeleton-assisted and unassisted walking. The spatiotemporal behavior during walking speed transitions was investigated experimentally. The findings indicate that the magnitude of the change in speeds affects how humans execute transitions, and that different people may preferentially utilize strategies to complete the task. To explore underlying walking objectives, a computational model was developed. Specifically, a moderately complex Hybrid Zero Dynamics based model with nonuniform foot shape and muscle-tendon dynamics at the ankle was developed. Equations of motion were derived and model validation simulations demonstrated that this model is capable of producing simulated gaits that match human walking for three different nonuniform foot shape parameterizations. Finally, three candidate walking objectives were tested for unassisted and exoskeleton-assisted walking. This was done using optimization, generating simulated gait by minimizing representative objective functions. The findings indicated that humans may minimize muscle activation during walking, however additional work is still necessary to determine how this goal is balanced with other objectives. Additional simulations were executed to identify sources of error between simulated and experimental gait in the model, providing insight into the limitations and possibilities for future work.
Subject Added Entry-Topical Term  
Ankle.
Subject Added Entry-Topical Term  
Kinematics.
Subject Added Entry-Topical Term  
Metabolism.
Subject Added Entry-Topical Term  
Fitness equipment.
Subject Added Entry-Topical Term  
Coordinate transformations.
Subject Added Entry-Topical Term  
Range of motion.
Subject Added Entry-Topical Term  
Fingers & toes.
Subject Added Entry-Topical Term  
Bioinformatics.
Subject Added Entry-Topical Term  
Biophysics.
Subject Added Entry-Topical Term  
Biomedical engineering.
Subject Added Entry-Topical Term  
Neurosciences.
Subject Added Entry-Topical Term  
Biomechanics.
Index Term-Uncontrolled  
Exoskeleton
Index Term-Uncontrolled  
Bipedal locomotion
Index Term-Uncontrolled  
Muscle-tendon dynamics
Index Term-Uncontrolled  
Spatiotemporal behavior
Index Term-Uncontrolled  
Human walking
Added Entry-Corporate Name  
The Pennsylvania State University.
Host Item Entry  
Dissertations Abstracts International. 85-05B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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Control Number  
joongbu:639569
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