LSTM

Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection using BiLSTM
To lower the risk of injury, a more robust and precise method for detecting concussion is needed to produce reliable and objective results. In this paper, we propose a novel approach to detect SRC using long short-term memory (LSTM) recurrent neural network (RNN) architectures from oculomotor data.
Prithul Sarker, Khondker Fariha Hossain, Isayas Berhe Adhanom, Philip K Pavilionis, Nicholas G. Murray, Alireza Tavakkoli
DOI arXiv
Analysis of Smooth Pursuit Assessment in Virtual Reality and Concussion Detection using BiLSTM