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P1‐345: CLASSIFICATION OF EMOTIONAL RESPONSES IN VIDEO AND AUDIO RECORDINGS USING A CONVOLUTIONAL NEURAL NETWORK
Author(s) -
Ravindranath Pradeep Anand,
Kavatkar Mihir,
Rafii Michael S.,
Aisen Paul S.,
Jimenez-Maggiora Gustavo
Publication year - 2018
Publication title -
alzheimer's and dementia
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2018.06.352
Subject(s) - disgust , sadness , convolutional neural network , computer science , softmax function , surprise , anticipation (artificial intelligence) , artificial intelligence , deep learning , anger , pattern recognition (psychology) , speech recognition , psychology , social psychology , psychiatry
CDR 0.024 0 265(71.0%) 158(62.5%) 0.5 108(29.0%) 95(37.5%) CDR SOB 0.19460.33 0.2560.35 0.033 B-ADL 19.9060.61 19.8660.61 0.468 BNT 0.3560.68 0.2960.66 0.277 Digit_BD 0.2761.13 0.0760.97 0.022 SVLT delayed 0.63 60.64 -0.1860.50 0.000 SVLT recognition 0.3660.81 -0.0060.77 0.000 RCFT delayed 0.3860.78 0.1960.75 0.004 RCFT recognition 0.0660.96 -0.01 60.84 0.337 COWAT total 0.2360.99 0.0361.01 0.102 Stroop 0.2060.98 0.1460.89 0.031 MMSE 0.1960.87 0.0960.92 0.178

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