A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder.

Daehyung Park Yuuna Hoshi Charles C. Kemp

Published in: CoRR (2017)

Keyphrases

robot assisted
minimally invasive
anomaly detection
image guided
laparoscopic surgery
recurrent neural networks
coronary artery bypass
force feedback
multi modal
image segmentation
cochlear implant
computer vision
augmented reality
neural network
image data
optical flow
surgical procedures
image processing