Prediction of knee adduction moment using innovative instrumented insole and deep learning neural networks in healthy female individuals.

Abstract

Authors

• Samantha J Snyder
  Department of Kinesiology, University of Maryland, College Park, MD, USA. Electronic address: snyder36@terpmail.umd.edu.
• Edward Chu
  Department of Kinesiology, University of Maryland, College Park, MD, USA. Electronic address: edchux@umd.edu.
• Jumyung Um
  Department of Industrial & Management Systems Engineering, Kyung Hee University, Yongin-Si, Gyeonggi-do, South Korea. Electronic address: jayum@khu.ac.kr.
• Yun Jung Heo
  Department of Mechanical Engineering, Kyung Hee University, Yongin-Si, Gyeonggi-do, South Korea; Integrated Education Institute for Frontier Science & Technology, Kyung Hee University, Gyeonggi-do 17104, South Korea. Electronic address: yunjheo@khu.ac.kr.
• Ross H Miller
  Department of Kinesiology, University of Maryland, College Park, MD, USA; Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD, USA. Electronic address: rosshm@umd.edu.
• Jae Kun Shim
  Department of Kinesiology, University of Maryland, College Park, MD, USA; Department of Mechanical Engineering, Kyung Hee University, Yongin-Si, Gyeonggi-do, South Korea; Neuroscience and Cognitive Science Program, University of Maryland, College Park, MD, USA; Fischell Department of Bioengineering, University of Maryland, College Park, MD, USA. Electronic address: jkshim@umd.edu.

Keywords

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