Below is a list of all relevant publications authored by Robotics Forum members.


BibTex format

author = {Wang, R and Amadori, P and Demiris, Y},
doi = {10.1109/IROS.2018.8594305},
publisher = {IEEE},
title = {Real-time workload classification during driving using hyperNetworks},
url = {},
year = {2019}

RIS format (EndNote, RefMan)

AB - Classifying human cognitive states from behavioral and physiological signals is a challenging problem with important applications in robotics. The problem is challenging due to the data variability among individual users, and sensor artifacts. In this work, we propose an end-to-end framework for real-time cognitive workload classification with mixture Hyper Long Short Term Memory Networks (m-HyperLSTM), a novelvariant of HyperNetworks. Evaluating the proposed approach on an eye-gaze pattern dataset collected from simulated driving scenarios of different cognitive demands, we show that the proposed framework outperforms previous baseline methods and achieves 83.9% precision and 87.8% recall during test. We also demonstrate the merit of our proposed architecture by showing improved performance over other LSTM-basedmethods
AU - Wang,R
AU - Amadori,P
AU - Demiris,Y
DO - 10.1109/IROS.2018.8594305
PY - 2019///
SN - 2153-0866
TI - Real-time workload classification during driving using hyperNetworks
UR -
UR -
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ER -