The effect of network depth in neural network for human gait cycle prediction
Artificial neural networks were implemented satisfactorily to assess gait events from various walking data. This research is to study the suitable network depth in neural network technique for developing human gait cycle prediction model using artificial neural network. Gait dataset is retrieved fro...
| 出版年: | AIP Conference Proceedings |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
American Institute of Physics Inc.
2023
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85166760836&doi=10.1063%2f5.0117708&partnerID=40&md5=184a297c9ec3bb6eea26c2f3d7094c0d |