IMU-based Deep Neural Networks for Locomotor Intention Prediction
Huaitian Lu,Lambert R.B. Schomaker,Raffaella Carloni,Huaitian Lu,Lambert R.B. Schomaker,Raffaella Carloni
This paper focuses on the design and comparison of different deep neural networks for the real-time prediction of locomotor intentions by using data from inertial measurement units. The deep neural network architectures are convolutional neural networks, recurrent neural networks, and convolutional recurrent neural networks. The input to the architectures are features in the time domain, which hav...
