Mariangela Filosa

Orcid: 0000-0002-3365-7725

According to our database1, Mariangela Filosa authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Enriching Contact Information Through Fiber Bragg Gratings-Based Exteroception in Soft Bending Actuators.
Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024

Neuromorphic Touch Sensors for Pleasantness Encoding via Spike Patterns: A Bio-Inspired Artifical Fingertip for Restoring Affective Sensations.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

Edge AI Algorithm for FBG-Based E-Skin Touch Localization on Embedded Electronics.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024

2023
Uneven Terrain Recognition Using Neuromorphic Haptic Feedback.
Sensors, 2023

2022
Functional mimicry of Ruffini receptors with fibre Bragg gratings and deep neural networks enables a bio-inspired large-area tactile-sensitive skin.
Nat. Mach. Intell., 2022

Functional mimicry of Ruffini receptors with Fiber Bragg Gratings and Deep Neural Networks enables a bio-inspired large-area tactile sensitive skin.
CoRR, 2022

A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions.
Artif. Intell. Medicine, 2022

Live Demonstration: FBG-based artificial skin for touch sensing in collaborative robotics.
Proceedings of the 2022 IEEE Sensors, Dallas, TX, USA, October 30 - Nov. 2, 2022, 2022

2021
Respiratory rate monitoring of video terminal operators based on fiber optic technology.
Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2021

2020
A Test Bench to Assess Systems for Respiratory Monitoring of Workers.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020

2019
Empowering Deafblind Communication Capabilities by Means of AI-Based Body Parts Tracking and Remotely Controlled Robotic Arm for Sign Language Speakers.
Proceedings of the Applications in Electronics Pervading Industry, Environment and Society, 2019


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