Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer’s Disease Using Forestnets

Pérez Toro PA, Rodriguez Salas D, Arias Vergara T, Bayerl SP, Klumpp P, Riedhammer KT, Schuster M, Nöth E, Maier A, Orozco Arroyave JR (2023)

Publication Type: Conference contribution

Publication year: 2023

Conference Proceedings Title: ICASSP 2023

Event location: Rhodes Island GR

DOI: 10.1109/ICASSP49357.2023.10095219

Abstract

Progressive loss of memory is the most known symptom of Alzheimer’s Disease (AD); however, it also affects other cognitive skills and leads to depression symptoms. This paper presents a transfer learning strategy for automatically detecting AD and depression in AD patients using acoustic information and ForestNet, an artificial neural network that allows computing the contribution of a set of features to a model’s decision. The methodology consists of training ForestNet with a dataset commonly used for emotion recognition; then, we fine-tune the pre-trained model to detect AD and depression in AD. We trained the models with several acoustic features commonly used for emotion and AD applications. Unweighted average recalls of up to 0.87 were achieved to classify the disease and up to 0.82 to detect depression in AD. Our results indicate that the information obtained from the Arousal Valence plane may be suitable for discriminating and analyzing depression in AD.

Authors with CRIS profile

Paula Andrea Pérez Toro Lehrstuhl für Informatik 5 (Mustererkennung) Dalia Rodriguez Salas Lehrstuhl für Informatik 5 (Mustererkennung) Tomás Arias Vergara Lehrstuhl für Informatik 5 (Mustererkennung) Philipp Klumpp Professur für Informatik (Mustererkennung) Korbinian Thomas Riedhammer Professur für Informatik (Mustererkennung) Elmar Nöth Professur für Informatik (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung) Juan Rafael Orozco Arroyave Professur für Informatik (Mustererkennung)

Involved external institutions

Klinikum der Universität München DE Germany (DE) Technische Hochschule Nürnberg "Georg Simon Ohm" DE Germany (DE)

How to cite

APA:

Pérez Toro, P.A., Rodriguez Salas, D., Arias Vergara, T., Bayerl, S.P., Klumpp, P., Riedhammer, K.T.,... Orozco Arroyave, J.R. (2023). Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer’s Disease Using Forestnets. In ICASSP 2023. Rhodes Island, GR.

MLA:

Pérez Toro, Paula Andrea, et al. "Transferring Quantified Emotion Knowledge for the Detection of Depression in Alzheimer’s Disease Using Forestnets." Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island 2023.

BibTeX: Download