Emulating Balance Control Observed in Human Test Subjects with a Neural Network
| العنوان: | Emulating Balance Control Observed in Human Test Subjects with a Neural Network |
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| المؤلفون: | Wade W. Hilts, Alexander J. Hunt, Roger D. Quinn, Nicholas S. Szczecinski |
| المصدر: | Biomimetic and Biohybrid Systems ISBN: 9783319959719 Living Machines |
| بيانات النشر: | Springer International Publishing, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Quantitative Biology::Neurons and Cognition, Artificial neural network, Control theory, Angular displacement, Computer science, Torque, Feedback loop, Free parameter, Inverted pendulum, Balance (ability) |
| الوصف: | Human balance is likely achieved using many concurrent control loops that combine to react to changes in environment, posture, center of mass and other factors affecting stability. Though numerous engineering models of human balance control have been tested, no models of how these controllers might operate within the nervous system have yet been established. We have developed such a neural model, focusing on a proprioceptive feedback loop. For this model, angular position is measured at the ankle and corrective torque is applied about the joint to maintain a vertical orientation. We built a physical model of an upright human maintaining balance with an inverted pendulum actuated by a torque-control motor. We used an engineering control model for human balance to calculate the control parameters that will cause our physical model to have the same dynamics as human test subject data collected on a tilting platform. We reconstruct this controller in a neural network and compare performance between the neural and classical engineering models in experiment, demonstrating that the design tools in this paper can be used to emulate a classical controller using a neural network with relatively few free parameters. |
| ردمك: | 978-3-319-95971-9 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::0d049b21da499cdc47101af8feaa48e7Test https://doi.org/10.1007/978-3-319-95972-6_21Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi...........0d049b21da499cdc47101af8feaa48e7 |
| قاعدة البيانات: | OpenAIRE |
| ردمك: | 9783319959719 |
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