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Anastasios Delopoulos
Researcher at Aristotle University of Thessaloniki
Publications - 159
Citations - 1756
Anastasios Delopoulos is an academic researcher from Aristotle University of Thessaloniki. The author has contributed to research in topics: Image retrieval & Support vector machine. The author has an hindex of 17, co-authored 153 publications receiving 1429 citations. Previous affiliations of Anastasios Delopoulos include National Technical University of Athens & National and Kapodistrian University of Athens.
Papers
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Proceedings Article
The MUG facial expression database
TL;DR: This paper presents a new extended collection of posed and induced facial expression image sequences that contains sufficient material for the development and the statistical evaluation of facial expression recognition systems using posed andinduced expressions.
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A Novel Chewing Detection System Based on PPG, Audio, and Accelerometry
Vasileios Papapanagiotou,Christos Diou,Lingchuan Zhou,Janet van den Boer,Monica Mars,Anastasios Delopoulos +5 more
TL;DR: This paper proposes to combine an in-ear microphone with a photoplethysmography sensor placed in the ear concha, in a new high accuracy and low sampling rate prototype chewing detection system, and shows that fusing the audio and PPG signals significantly improves the effectiveness of eating event detection.
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Invariant image classification using triple-correlation-based neural networks
TL;DR: Third-order neural networks are shown to be a specific category of triple-correlation-based networks, applied either to binary or gray-scale images, and an efficient implementation scheme is proposed, which is robust to distortions, insensitive to additive noise, and classifies the original image using adequate neural network architectures applied directly to 2D image representations.
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Modeling Wrist Micromovements to Measure In-Meal Eating Behavior From Inertial Sensor Data
TL;DR: This paper presents an algorithm for automatically detecting the in-meal food intake cycles using the inertial signals (acceleration and orientation velocity) from an off-the-shelf smartwatch.
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Optimal filter banks for signal reconstruction from noisy subband components
TL;DR: This work proposes filter design techniques that minimize the reconstruction mean squared error (MSE) taking into account the second order statistics of signals and noise in the case of either stochastic or deterministic signals.