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Angelica Poli
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2020 – today
- 2023
- [j3]Susanna Spinsante, Angelica Poli, Jordi Mongay Batalla, Piotr Krawiec, Ciprian Dobre, Lidia Bajenaru, Constandinos X. Mavromoustakis, Costas S. Costantinou, Gregor Molan, Anna Marie Herghelegiu, Gabriel Ioan Prada, Rozeta Draghici, Horacio González-Vélez:
Clinically-validated technologies for assisted living. J. Ambient Intell. Humaniz. Comput. 14(3): 2095-2116 (2023) - [j2]Wiktoria Wilkowska, Julia Offermann, Liane Colonna, Francisco Flórez Revuelta, Pau Climent-Pérez, Alex Mihailidis, Angelica Poli, Susanna Spinsante, Martina Ziefle:
Interdisciplinary perspectives on privacy awareness in lifelogging technology development. J. Ambient Intell. Humaniz. Comput. 14(3): 2291-2312 (2023) - 2022
- [c22]Angelica Poli, Andrea Amidei, Simone Benatti, Grazia Iadarola, Federico Tramarin, Luigi Rovati, Paolo Pavan, Susanna Spinsante:
Exploiting Blood Volume Pulse and Skin Conductance for Driver Drowsiness Detection. HealthyIoT 2022: 50-61 - [c21]Valeria Bruschi, Nefeli Dourou, Grazia Iadarola, Angelica Poli, Susanna Spinsante, Stefania Cecchi:
Skin Conductance Under Acoustic Stimulation: Analysis by a Portable Device. HealthyIoT 2022: 62-78 - [c20]Gloria Cosoli, Angelica Poli, Luca Antognoli, Susanna Spinsante, Lorenzo Scalise:
What is my heart rate right now? Comparing data from different devices. I2MTC 2022: 1-6 - [c19]Grazia Iadarola, Angelica Poli, Susanna Spinsante:
Compressed Sensing of Skin Conductance Level for IoT-based wearable sensors. I2MTC 2022: 1-6 - [c18]Angelica Poli, Gloria Cosoli, Grazia Iadarola, Susanna Spinsante, Lorenzo Scalise:
Feasibility of Blood Pressure Measurement through Wearable Devices: Analysis of Smartwatches Performance. MeMeA 2022: 1-6 - [c17]Andrea Amidei, Angelica Poli, Grazia Iadarola, Federico Tramarin, Paolo Pavan, Susanna Spinsante, Luigi Rovati:
Driver Drowsiness Detection based on Variation of Skin Conductance from Wearable Device. MetroAutomotive 2022: 94-98 - [i1]Slavisa Aleksic, Michael Atanasov, Jean Calleja-Agius, Kenneth P. Camilleri, Anto Cartolovni, Pau Climent-Pérez, Sara Colantonio, Stefania Cristina, Vladimir Despotovic, Hazim Kemal Ekenel, Mustafa Ekrem Erakin, Francisco Flórez-Revuelta, Danila Germanese, Nicole Grech, Steinunn Gróa Sigurðardóttir, Murat Emirzeoglu, Ivo Iliev, Mladjan Jovanovic, Martin Kampel, William Kearns, Andrzej Klimczuk, Lambros Lambrinos, Jennifer Lumetzberger, Wiktor Mucha, Sophie Noiret, Zada Pajalic, Rodrigo Rodriguez Peerez, Galidiya Petrova, Sintija Petrovica, Peter Pocta, Angelica Poli, Mara Pudane, Susanna Spinsante, Albert Ali Salah, María J. Santofimia, Anna Sigridur Islind, Lacramioara Stoicu-Tivadar, Hilda Tellioglu, Andrej Zgank:
State of the Art of Audio- and Video-Based Solutions for AAL. CoRR abs/2207.01487 (2022) - 2021
- [j1]Julia Offermann-van Heek, Wiktoria Wilkowska, Angelica Poli, Susanna Spinsante, Martina Ziefle:
Acceptance and Preferences of Using Ambient Sensor-Based Lifelogging Technologies in Home Environments. Sensors 21(24): 8297 (2021) - [c16]Angelica Poli, Angela M. Muñoz-Antón, Susanna Spinsante, Francisco Flórez-Revuelta:
Balancing Activity Recognition and Privacy Preservation with a Multi-objective Evolutionary Algorithm. GOODTECHS 2021: 3-17 - [c15]Nefeli Dourou, Angelica Poli, Alessandro Terenzi, Stefania Cecchi, Susanna Spinsante:
IoT-Enabled Analysis of Subjective Sound Quality Perception Based on Out-of-Lab Physiological Measurements. HealthyIoT 2021: 153-165 - [c14]Federico Casaccia, Grazia Iadarola, Angelica Poli, Susanna Spinsante:
CS-Based Decomposition of Acoustic Stimuli-Driven GSR Peaks Sensed by an IoT-Enabled Wearable Device. HealthyIoT 2021: 166-179 - [c13]Angelica Poli, Gloria Cosoli, Lorenzo Verdenelli, Francesco Scardulla, Leonardo D'Acquisto, Susanna Spinsante, Lorenzo Scalise:
DIY Wrist-Worn Device for Physiological Monitoring: Metrological Evaluation at Different Band Tightening Levels. HealthyIoT 2021: 214-229 - [c12]Gloria Cosoli, Angelica Poli, Lorenzo Scalise, Susanna Spinsante:
Heart Rate Variability Analysis With Wearable Devices: Influence of Artifact Correction Method on Classification Accuracy for Emotion Recognition. I2MTC 2021: 1-6 - [c11]Grazia Iadarola, Angelica Poli, Susanna Spinsante:
Reconstruction of Galvanic Skin Response Peaks via Sparse Representation. I2MTC 2021: 1-6 - [c10]Grazia Iadarola, Angelica Poli, Susanna Spinsante:
Analysis of Galvanic Skin Response to Acoustic Stimuli by Wearable Devices. MeMeA 2021: 1-6 - [c9]Gloria Cosoli, Grazia Iadarola, Angelica Poli, Susanna Spinsante:
Learning classifiers for analysis of Blood Volume Pulse signals in IoT-enabled systems. MetroInd4.0&IoT 2021: 307-312 - 2020
- [c8]Stefania Cecchi, Agnese Piersanti, Angelica Poli, Susanna Spinsante:
Physical Stimuli and Emotions: EDA Features Analysis from a Wrist-Worn Measurement Sensor. CAMAD 2020: 1-6 - [c7]Angelica Poli, Annachiara Strazza, Stefania Cecchi, Susanna Spinsante:
Identification Issues Associated with the Use of Wearable Accelerometers in Lifelogging. HCI (27) 2020: 338-351 - [c6]Luca Gioacchini, Angelica Poli, Stefania Cecchi, Susanna Spinsante:
Sensors Characterization for a Calibration-Free Connected Smart Insole for Healthy Ageing. HealthyIoT 2020: 35-54 - [c5]Angelica Poli, Anna Brocanelli, Stefania Cecchi, Simone Orcioni, Susanna Spinsante:
Preliminary Results of IoT-Enabled EDA-Based Analysis of Physiological Response to Acoustic Stimuli. HealthyIoT 2020: 124-136 - [c4]Angelica Poli, Lorenzo Scalise, Susanna Spinsante, Annachiara Strazza:
ADLs Monitoring by Accelerometer-Based Wearable Sensors: Effect of Measurement Device and Data Uncertainty on Classification Accuracy. MeMeA 2020: 1-6
2010 – 2019
- 2019
- [c3]Susanna Spinsante, Valeria Cerquetti, Angelica Poli, Lorenzo Scalise:
The Role of Mobile Apps in Heart Rate Measurement with Consumer Devices. ISCT 2019: 17-22 - [c2]Susanna Spinsante, Angelica Poli, Stefano Pirani, Luca Gioacchini:
LoRa Evaluation in Mobility Conditions for a Connected Smart Shoe Measuring Physical Activity. M&N 2019: 1-5 - [c1]Susanna Spinsante, Francesco Di Nardo, Annachiara Strazza, Federica Verdini, Angelica Poli:
A Simple sEMG-Based Measure of Muscular Recruitment Variability During Pediatric Walking. MeMeA 2019: 1-6
Coauthor Index
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