Complexity of Frontal Cortex fNIRS Can Support Alzheimer Disease Diagnosis in Memory and Visuo-Spatial Tests. - David Perpetuini; Antonio Maria Chiarelli; Daniela Cardone; Chiara Filippini; Roberta Bucco; Michele Zito 002; Arcangelo Merla (Entropy, 2019)

Modelling Impulse Response Function of Functional Infrared Imaging for General Linear Model Analysis of Autonomic Activity. - David Perpetuini; Daniela Cardone; Chiara Filippini; Antonio Maria Chiarelli; Arcangelo Merla (Sensors, 2019)

Thermal Infrared Imaging and Artificial Intelligence Techniques Can Support Mild Alzheimer Disease Diagnosis (short paper). - Chiara Filippini; David Perpetuini; Daniela Cardone; Antonio Maria Chiarelli; Arcangelo Merla (AIxAS@AI*IA, 2020)

Working Memory Decline in Alzheimer's Disease Is Detected by Complexity Analysis of Multimodal EEG-fNIRS. - David Perpetuini; Antonio Maria Chiarelli; Chiara Filippini; Daniela Cardone; Pierpaolo Croce; Ludovica Rotunno; Nelson Anzoletti; Michele Zito 002; Filippo Zappasodi; Arcangelo Merla (Entropy, 2020)

Facilitating the Child-Robot Interaction by Endowing the Robot with the Capability of Understanding the Child Engagement: The Case of Mio Amico Robot. - Chiara Filippini; Edoardo Spadolini; Daniela Cardone; Domenico Bianchi; Maurizio Preziuso; Christian Sciarretta; Valentina del Cimmuto; Davide Lisciani; Arcangelo Merla (Int. J. Soc. Robotics, 2021)

Improving Human-Robot Interaction by Enhancing NAO Robot Awareness of Human Facial Expression. - Chiara Filippini; David Perpetuini; Daniela Cardone; Arcangelo Merla (Sensors, 2021)

A Motion Artifact Correction Procedure for fNIRS Signals Based on Wavelet Transform and Infrared Thermography Video Tracking. - David Perpetuini; Daniela Cardone; Chiara Filippini; Antonio Maria Chiarelli; Arcangelo Merla (Sensors, 2021)

Classification of Drivers' Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals. - Daniela Cardone; David Perpetuini; Chiara Filippini; Lorenza Mancini; Sergio Nocco; Michele Tritto; Sergio Rinella; Alberto Giacobbe; Giorgio Fallica; Fabrizio Ricci; Sabina Gallina; Arcangelo Merla (Sensors, 2022)

Automated Affective Computing Based on Bio-Signals Analysis and Deep Learning Approach. - Chiara Filippini; Adolfo Di Crosta; Rocco Palumbo; David Perpetuini; Daniela Cardone; Irene Ceccato; Alberto Di Domenico; Arcangelo Merla (Sensors, 2022)

Systematic Review of Affective Computing Techniques for Infant Robot Interaction. - Chiara Filippini; Arcangelo Merla (Int. J. Soc. Robotics, 2023)

A Technology Aid to Help People with Blindness and Moderate Intellectual Disability Retrieve Common Objects from Storage Units: A Proof-of-Concept Study. - Chiara Filippini; Giulio E. Lancioni; Gloria Alberti; Francesco Pezzuoli; Patrizia Ceccarani (Sensors, 2024)