HIGHLIGHTS
- who: Keshav Bimbraw and colleagues from the Polytechnic Institute, Institute Rd, Worcester, MA, USA(e-mail: have published the research work: Simultaneous Estimation of Hand Configurations and Finger Joint Angles using Forearm Ultrasound, in the Journal: (JOURNAL)
- what: The authors propose a convolutional neural network (CNN) based deep learning pipeline for predicting the MCP joint angles.
- how: This paper discusses a pipeline for estimating these hand configurations and MCP joint angles. The CNN architecture that was used in the paper is based on a modified form of VGG16 . Because of these issues the . . .
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