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Aug 29, 2023 · Deep Learning (DL) algorithms could help achieve early non-invasive, low-cost detection of MCI. This paper presents the detection of MCI in ...
This paper presents the detection of MCI in older adults using DL models based only on facial features extracted from video-recorded conversations at home.
This paper presents the detection of MCI in older adults using DL models based only on facial features extracted from video-recorded conversations at home.
Sep 5, 2024 · Deep Learning (DL) algorithms could help achieve early non-invasive, low-cost detection of MCI. This paper presents the detection of MCI in ...
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Studies are presently being conducted using deep learning to estimate cognitive decline using easily obtainable indicators such as facial (20) , vocal (21), and ...
Mar 15, 2024 · This paper proposes a novel Multi-branch Classifier-Video Vision Transformer (MC-ViViT) model to distinguish MCI from those with normal cognition by analyzing ...
Since the focus of this paper is on the detection of MCI using nonverbal visual patterns and behaviors expressed in facial videos of older adults using deep ...
Mar 15, 2024 · This paper proposes a novel Multi-branch Classifier-Video Vision Transformer (MC-ViViT) model to distinguish MCI from those with normal cognition by analyzing ...
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Nov 1, 2024 · We analyzed smile images and acoustic and visual data extracted from videos of natural conversations with a chatbot and analyzed these data ...
Feb 27, 2024 · We propose MC-ViViT to detect MCI from facial videos in the I-CONECT Study. •. We design the MC module to enrich the extracted spatio-temporal ...